This collection of writings provides the only comprehensive introduction to the input-output model for which Leontief was awarded the Nobel Prize in 1973. The structural approach to economics developed by Leontief, and known as input-output analysis, paved the way for the transformation of economics into a truly empirical discipline that could utilize modern data processing technology. This thoroughly revised second edition includes twenty essays--twelve of which are new to this edition--that reflect the past developments and the (...) present state of the field. Beginning with an introductory chapter, the book leads the reader into an understanding of the input-output approach--not only as formal theory but also as a research strategy and powerful tool for dealing with a complex modern economy. (shrink)

Input/output logics are abstract structures designed to represent conditional obligations and goals. In this paper we use them to study conditional permission. This perspective provides a clear separation of the familiar notion of negative permission from the more elusive one of positive permission. Moreover, it reveals that there are at least two kinds of positive permission. Although indistinguishable in the unconditional case, they are quite different in conditional contexts. One of them, which we call static positive permission, guides (...) the citizen and law enforcement authorities in the assessment of specific actions under current norms, and it behaves like a weakened obligation. Another, which we call dynamic positive permission, guides the legislator. It describes the limits on the prohibitions that may be introduced into a code, and under suitable conditions behaves like a strengthened negative permission. (shrink)

This collection of writings provides the only comprehensive introduction to the input-output model for which Leontief was awarded the Nobel Prize in 1973. The structural approach to economics developed by Leontief, and known as input-output analysis, paved the way for the transformation of economics into a truly empirical discipline that could utilize modern data processing technology. This thoroughly revised second edition includes twenty essays--twelve of which are new to this edition--that reflect the past developments and the (...) present state of the field. Beginning with an introductory chapter, the book leads the reader into an understanding of the input-output approach--not only as formal theory but also as a research strategy and powerful tool for dealing with a complex modern economy. (shrink)

In this paper I have tried to bring together various forms of input-output accounting and analysis suited to dynamic problems. In the usual, static accounting system, the entries all relate to a single time-period and the set of accounts is completely closed. In the alternative, dynamic system suggested here, the inputs for a given period come, either in whole or in part, from the preceding period and the outputs go, either in whole or in part, to the succeeding (...) period.Two types of model can be built within the framework of this dynamic accounting structure: the conventional input-output model, in which the input coefficients are fixed; and an allocation model, in which the output co-efficients are fixed. The conventional model is appropriate to the analysis of production flows; the allocation model to that of demographic flows. These two models provide us with the main building blocks for an educational model, since as far as the human inputs are concerned the educational system is simply a partition of the demographic system, and as far as the economic inputs are concerned it is a partition of the productive system. A first attempt at combining the two was described in my earlier article. (shrink)

It remains a standing problem how and why the first nervous systems evolved. Molecular and genomic information is now rapidly accumulating but the macroscopic organization and functioning of early nervous systems remains unclear. To explore potential evolutionary options, a coordination centered view is discussed that diverges from a standard input–output view on early nervous systems. The scenario involved, the skin brain thesis, stresses the need to coordinate muscle-based motility at a very early stage. This paper addresses how this (...) scenario with its focus on coordination also deals with sensory aspects. It will be argued that the neural structure required to coordinate extensive sheets of contractile tissue for motility provides the starting point for a new multicellular organized form of sensing. Moving a body by muscle contraction provides the basis for a multicellular organization that is sensitive to external surface structure at the scale of the animal body. Instead of thinking about early nervous systems as being connected to the environment merely through input and output, the implication developed here is that early nervous systems provide the foundation for a highly specific animal sensorimotor organization in which neural activity directly reflects bodily and environmental spatiotemporal structure. While the SBT diverges from the input–output view, it is closely linked to and supported by ongoing work on embodied approaches to intelligence to which it adds a new interpretation of animal embodiment and sensorimotor organization. (shrink)

The uncertainty associated with paradigmatic families has been shown to correlate with their phonetic characteristics in speech, suggesting that representations of complex sublexical relations between words are part of speaker knowledge. To better understand this, recent studies have used two-layer neural network models to examine the way paradigmatic uncertainty emerges in learning. However, to date this work has largely ignored the way choices about the representation of inflectional and grammatical functions (IFS) in models strongly influence what they subsequently learn. To (...) explore the consequences of this, we investigate how representations of IFS in the input-output structures of learning models affect the capacity of uncertainty estimates derived from them to account for phonetic variability in speech. Specifically, we examine whether IFS are best represented as outputs to neural networks (as in previous studies) or as inputs by building models that embody both choices and examining their capacity to account for uncertainty effects in the formant trajectories of word final [ɐ], which in German discriminates around sixty different IFS. Overall, we find that formants are enhanced as the uncertainty associated with IFS decreases. This result dovetails with a growing number of studies of morphological and inflectional families that have shown that enhancement is associated with lower uncertainty in context. Importantly, we also find that in models where IFS serve as inputs—as our theoretical analysis suggests they ought to—its uncertainty measures provide better fits to the empirical variance observed in [ɐ] formants than models where IFS serve as outputs. This supports our suggestion that IFS serve as cognitive cues during speech production, and should be treated as such in modeling. It is also consistent with the idea that when IFS serve as inputs to a learning network. This maintains the distinction between those parts of the network that represent message and those that represent signal. We conclude by describing how maintaining a “signal-message-uncertainty distinction” can allow us to reconcile a range of apparently contradictory findings about the relationship between articulation and uncertainty in context. (shrink)

I consider some of the claims that have been made for and against the nature of the INPUT in OT syntax as developed within the assumptions of the Minimalist Program, leading to suggestions for further specification of the architecture of this approach. Comparing with the role of faithfulness in the OT approach developed from Lexical-Functional Grammar, I argue that specific linguistic analyses crucially involve reference to faithfulness constraints (MAX and DEP in correspondence-based OT) which apply across different parts of (...) the output structures, but do not need to refer to the INPUT. I conclude that while OT syntax does not need INPUTs per se, it does need faithfulness constraints. (shrink)

Benchmarking is the major reason for the widespread use of DEA models for efficiency analysis. Determining the closest targets for DMUs, DEA models play a key role in benchmarking their best performance. In fact, these models help develop certain performance enhancement plans that need fewer attempts made by DMUs. Therefore, this study proposes a novel method based on the network DEA to determine the most appropriate target for every stage in addition to benchmarking the DMUs. The proposed model differs from (...) those proposed by other studies in the fact that all DEA models of benchmarking consider input and output values to be linear. However, in real-world problems, many DMU inputs and outputs have nonlinear values, something which was taken into account in the modeling process in this study. The proposed model was employed to benchmark cement factories listed on the Tehran Stock Exchange. (shrink)

This is a volume of papers organized by Professor Leontief for the 1976 meeting of the Economics section of the British Association for the Advancement of Science. After a paper by Professor Leontief applying input-output to the future of the world economy, other papers consider prices, regional problems, material supplies, urban problems, technical progress, unemployment and energy policy. There are two papers with a broader view of the British economy, one surveying government policy on the industrial structure (...) of the economy and one considering the use of input-output for monitoring the development of the economy. (shrink)

Life history theory is a fruitful source of testable hypotheses about human individual differences. However, this field of study is beset by unresolved debates about basic concepts and methods. One of these controversies concerns the usefulness of instruments that purport to tap a unidimensional life history factor based on a set of self-reported personality, social, and attitudinal variables. Here, we take a novel approach to analyzing the psychometrics of two variants of the Arizona Life History Battery: the Mini-K and the (...) K-SF-42. Psychological network analysis generates models in which psychological variables comprise the nodes of a network, while partial correlation coefficients between these variables comprise the edges of the network. Centrality indices operationalize each node’s importance based on the pattern of the connections in which that node plays a role. Because childhood environments are hypothesized to influence adult LH, we tested the hypothesis that among the Mini-K items, and the K-SF-42 scales, those that tap relationships with parents are central to the networks constructed from these instruments. In an MTurk sample and an undergraduate sample that completed the Mini-K, and an MTurk sample that completed the K-SF-42, this hypothesis was falsified. Indeed, the “relationships with parents” items were among the most peripheral in all three networks. We propose that network analysis, as an alternative to latent variable modeling, offers considerable potential to test hypotheses about the input-output mappings of specific evolved psychological mechanisms. (shrink)

First published in 1981 this book presents an original theoretical treatment of the problems of maintaining full employment in a multisector economic system with a growing population and different rates of technical progress in different sectors. The conditions for full employment and full capacity utilisation are examined when prices are stable and when there is inflation. This approach is carried out, not in terms of input-output relations, as has become customary in multisector models, but rather in terms of (...) vertically integrated sectors. This makes it possible to analyse the economic growth process in terms of the structural dynamics of production, of prices and of employment. Remarkable implications are drawn for a surprisingly large number of theoretical problems, which have been under discussion since Adam Smith: from price theory to the theory of rates of profit and the rates of interest; from production theory to the theories of fluctuating growth, ever-changing composition of output, choice of technique and international trade. (shrink)

This paper investigates structural properties of monotone function classes within the framework of three-valued logic (3VL), aiming to characterize dependencies and constraints that ensure structural finiteness and order-preserving properties. This research delves into characteristics of structurally finite classes of order-preserving 3VL map. Monotonicity plays a critical role in understanding functional behaviour, which is essential for structuring closed logical operations within $ P_{k} $. We define $ F $ as a closed class in $ P_{k} $, consisting only of mappings that (...) comply with specified operations and are strictly confined to $ P_{k} $. The notation $ F(n) $ represents the subset of mappings in $ F $ dependent on $ n $ variables, highlighting the limited scope of inputs and their respective outputs. Further analysis through $ CR(F) $ facilitates the identification of precursor subclasses within $ F $, which have not yet achieved closure under all necessary operations—a pivotal step in constructing intermediate mapping classes. Within the framework of 3VL, the study examines order-preserving maps $ f_{D}, f_{K}, f_{M^{(2)}}, f_{DM^{(2)}}, f_{KM^{(2)}} $, deliberately excluding the sets $ D, K, M^{(2)} $, where $ DM^{(2)} $ is defined as $ D \cap M^{(2)} $ and $ KM^{(2)} $ as $ K \cap M^{(2)} $. The lattice framework in $ P_{k}(1) $ for $ k = 3 $ systematically organizes these mapping classes based on their completeness properties, with particular emphasis on classes such as $ M $, which is characterized as a comprehensive set governed by the operations of maximum and minimum. Our theorems establish structural finiteness for classes of unary order-preserving maps, emphasizing their two-variable dependency in class construction. This study extends existing findings on single-variable monotonic functions within 3VL by integrating criteria of linear order. Key results include the classification of mapping classes $ F \subseteq M $ containing $ M^{(1)}_{3} $, categorized into distinct groups: $ M^{(1)}_{3}, KM^{(2)}, DM^{(2)}, M^{(2)}, K, D, M $. Inclusion relations are visualized diagrammatically, showing the hierarchical structure of these monotone classes, ultimately validating the structural finiteness of classes incorporating all unary order-preserving maps within the broader context of 3VL. (shrink)

What is it to interpret the outputs of an opaque machine learning model? One approach is to develop interpretable machine learning techniques. These techniques aim to show how machine learning models function by providing either model-centric local or global explanations, which can be based on mechanistic interpretations (revealing the inner working mechanisms of models) or non-mechanistic approximations (showing input feature–output data relationships). In this paper, we draw on social philosophy to argue that interpreting machine learning outputs in certain (...) normatively salient domains could require appealing to a third type of explanation that we call “socio-structural” explanation. The relevance of this explanation type is motivated by the fact that machine learning models are not isolated entities but are embedded within and shaped by social structures. Socio-structural explanations aim to illustrate how social structures contribute to and partially explain the outputs of machine learning models. We demonstrate the importance of socio-structural explanations by examining a racially biased healthcare allocation algorithm. Our proposal highlights the need for transparency beyond model interpretability: understanding the outputs of machine learning systems could require a broader analysis that extends beyond the understanding of the machine learning model itself. (shrink)

Technologies of communication condition human sense-making. They do so by creating the social environment we inhabit and extending their structural biases and logics through human use. As such, this essay inquires into the prevailing habits of mind in the digital era. Employing a media ecology of communication, I argue that digital computers and microprocessors are defined by three structural properties and, hence, underlying logics: digitization (binary code), algorithmic execution (input/output), and efficiency (machine logic). Repeated exposure to these logics (...) cultivates a digital mind, a model of thinking, communicating, and sense-making characterized by intransigence, impertinence, and impulsivity. I conclude the essay by exploring the broader implications of a digital mind, paying particular attention to the challenges it poses to democratic politics. (shrink)

The use of different response modes has been found to influence how subjects evaluate pairs of alternatives described by two attributes. It has been suggested that judgments and choices evoke different kinds of cognitive processes, leading to an overweighing of the prominent attribute in choice (Tversky, Sattath, & Slovic, 1988; Fischer & Hawkins, 1993). Four experiments were conducted to compare alternative cognitive explanations of this so-called prominence effect in judgment and choice. The explanations investigated were the structure compatibility hypothesis (...) and the restructuring hypothesis. According to the structure compatibility hypothesis, it was assumed that the prominence effect is due to a lack of compatibility between the required output from subjects and the structure of information in input. The restructuring hypothesis stated that the decision maker uses mental restructuring operations on a representation of decision options to make the options more clearly differentiated. In Experiment 1, a matching procedure was used to provide pairs of equally attractive options (medical treatments) for the following experiments. In Experiments 2, 3, and 4, preferences were elicited with two different response modes, choice and preference rating. Value ranges on the prominent and nonprominent attributes were manipulated to test the structure compatibility hypothesis. Accountability was also subject to manipulation as it was assumed to stimulate restructuring. Since the prominence effect was not restricted to choices, and effects of value ranges were obtained but not of accountability, the results were interpreted in line with the structure compatibility hypothesis. (shrink)

The article addresses the justification of music-structural claims, that is, any statements that assign a structure to a musical passage or a work. It is suggested that a theorist T is justified in making such a claim to the extent that (i) T is able to specify a rule that takes a given musical passage as its input and produces the claim as its output, (ii) T can explain what sorts of facts would render the use of (...) such a rule irrational in musical analysis, and (iii) T has no reason to believe in the existence of such irrationality-conferring facts. Such a view emphasizes the responsibilities of the analyst, but it also gives room for ample methodological pluralism. This is because the facts referred to in (ii) and (iii) may variously be physical, psychological, structural, or doxastic ones. There are thus several conceivable justificatory bases for musical analyses. (shrink)

Most of this work is concerned with two theories that underlie cognitive science; theories which I call "the representational theory of intentionality" and "the computational theory of cognition" . While the representational theory of intentionality asserts that mental states are about the world in virtue of a representation relation between the world and the state, the computational theory of cognition asserts that humans and others perform cognitive tasks by computing functions on these representations. CTC draws upon a rich analogy between (...) the mind and digital computers, portraying cognizers as receiving input and generating outputs . ;Since researchers within cognitive science--especially within cognitive psychology, computer science, and philosophy of mind--share a common theoretic background in their adherence to the combination of RTI and CTC, what I call "computationalism" most of the work done in philosophy of mind has been aimed at either refuting or further articulating these two theories. This work is strongly within that tradition. ;RTI and CTC combine to create an explanatory framework for explanation in cognitive science. In this work, I seek to delineate the exact structure of this framework, to determine its components and their overall relationships. In my mind, this involves making implicit aspects of computational explanation explicit, providing an overall rationale for the various components and their relationships, and defending that rationale against criticism. ;In particular, the project of this work is to argue that computationalist explanations of cognition within cognitive science need to make appeals to both representation and knowledge; to distinguish the respective roles of knowledge and of representation in an overall picture of computational explanations, and to develop and argue for definitions of representation and knowledge that would allow those concepts to play their respective roles within computational explanations in cognitive science. ;The first half of this work , therefore, is devoted to theories of representation, especially to the need for, and role of representation in computational explanations. The first half of the work culminates in chapter three with a definition of representation and a picture of the structure of computational explanations. The second half of the project then becomes to generate a definition of knowledge that defines knowledge in non-epistemic language amenable to computationalism and that carries the epistemic burdens placed upon knowledge by its use in computational explanations, as well as to offer a limited defence of that definition within the framework of traditional epistemology. (shrink)

The idea that correspondences relating grammatical relations and semantics (argument structure constructions) are needed to account for simple sentence types is reviewed, clarified, updated and compared with two lexicalist alternatives. Traditional lexical rules take one verb as ‘input’ and create (or relate) a different verb as ‘output’. More recently, invisible derivational verb templates have been proposed, which treat argument structure patterns as zero derivational affixes that combine with a root verb to yield a new verb. While (...) the derivational template perspective can address several problems that arise for traditional lexical rules, it still faces problems in accounting for idioms, which often contain specifications that are not appropriately assigned to individual verbs or derivational affixes (regarding adjuncts, modification, and inflection). At the same time, it is clear that verbs play a central role in determining their distribution. The balance between verbs and phrasal argument structure constructions is addressed via the Principles of Semantic Coherence and Correspondence together with a usage-based hierarchy of constructions that contains entries which can include particular verbs and other lexical material. (shrink)

In this paper we address the problem of defining social roles in multi-agent systems. Social roles provide the basic structure of social institutions and organizations. We start from the properties attributed to roles both in the multi-agent systems and the Object Oriented community, and we use them in an ontological analysis of the notion of social role. We identify three main properties of social roles. First, they are definitionally dependent on the institution they belong to, i.e. the definition of (...) a role is given inside the definition of the institution. Second, they attribute powers to the agents playing them, like creating commitments for the institutions and the other roles. Third, they allow roles to play roles, in the same way as agents do. Using Input/Output logics, we propose a formalization of roles in multi-agent systems satisfying the three properties we identified. (shrink)

This book employs a new eco-cognitive model of abduction to underline the distributed and embodied nature of scientific cognition. Its main focus is on the knowledge-enhancing virtues of abduction and on the productive role of scientific models. What are the distinctive features that define the kind of knowledge produced by science? To provide an answer to this question, the book first addresses the ideas of Aristotle, who stressed the essential inferential and distributed role of external cognitive tools and epistemic mediators (...) in abductive cognition. This is analyzed in depth from both a naturalized logic and an ecology of cognition perspective. It is shown how the maximization of cognition, and of abducibility – two typical goals of science – are related to a number of fundamental aspects: the optimization of the eco-cognitive situatedness; the maximization of changeability for both the input and the output of the inferences involved; a high degree of information-sensitiveness; and the need to record the “past life” of abductive inferential practices. Lastly, the book explains how some impoverished epistemological niches – the result of a growing epistemic irresponsibility associated with the commodification and commercialization of science – are now seriously jeopardizing the flourishing development of human creative abduction. (shrink)

What is a bias? Standard philosophical views of both implicit and explicit bias focus this question on the representations one harbours, for example, stereotypes or implicit attitudes, rather than the ways in which those representations are manipulated. I call this approach representationalism. In this paper, I argue that representationalism taken as a general theory of psychological social bias is a mistake, because it conceptualizes bias in ways that do not fully capture the phenomenon. Crucially, this view fails to capture a (...) heretofore neglected possibility of bias, one that influences an individual’s beliefs about or actions toward others, but is, nevertheless, nowhere represented in that individual’s cognitive repertoire. In place of representationalism, I develop a functional account of psychological social bias which characterizes it as a mental entity that takes propositional mental states as inputs and returns propositional mental states as outputs in a way that instantiates social-kind inductions. This functional characterization leaves open which mental states and processes bridge the gap between the inputs and outputs, ultimately highlighting the diversity of candidates that can serve this role. (shrink)

We translate unconstrained and constrained input/output logics as introduced by Makinson and van der Torre to modal logics, using adaptive logics for the constrained case. The resulting reformulation has some additional benefits. First, we obtain a proof-theoretic characterization of input/output logics. Second, we demonstrate that our framework naturally gives rise to useful variants and allows to express important notions that go beyond the expressive means of input/output logics, such as violations and sanctions.

In a previous paper we developed a general theory of input/output logics. These are operations resembling inference, but where inputs need not be included among outputs, and outputs need not be reusable as inputs. In the present paper we study what happens when they are constrained to render output consistent with input. This is of interest for deontic logic, where it provides a manner of handling contrary-to-duty obligations. Our procedure is to constrain the set of generators (...) of the input/output system, considering only the maximal subsets that do not yield output conflicting with a given input. When inputs are authorised to reappear as outputs, both maxichoice revision in the sense of Alchourr6n/Makinson and the default logic of Poole emerge as special cases, and there is a close relation with Reiter default logic. However, our focus is on the general case where inputs need not be outputs. We show in what contexts the consistency of input with output may be reduced to its consistency with a truth-functional combination of components of generators, and under what conditions constrained output may be obtained by a derivation that is constrained at every step. (shrink)

Human cognition is said to be systematic: cognitive ability generalizes to structurally related behaviours. The connectionist approach to cognitive theorizing has been strongly criticized for its failure to explain systematicity. Demonstrations of generalization notwithstanding, I show that two widely used networks (feedforward and recurrent) do not support systematicity under the condition of local input/output representations. For a connectionist explanation of systematicity, these results leave two choices, either: (1) develop models capable of systematicity under local input/output representations; (...) or (2) justify the choice of similarity-based (nonlocal) component representations sufficient for systematicity. (shrink)

Many principles characterize educational justice in terms of the relationship between educational inputs, outputs and distributive standards. Such principles depend upon the causal pathway view of education. It is implicit in this view that the causally effective aspects of education can be understood as separate from the normative aspects of education. Yet this view relies on an impossible division of labor between empirical and normative work in educational research: it treats the causal roles that are understood and explained objectively through (...) empirical research as separate from the normative theorizing that informs the assessment of particular policies and practices. Such principles therefore rely on unreliable causal claims and are unable to make prescriptions about practices even according to their own conceptions of justice. Furthermore, such principles obscure other relevant considerations of justice that pertain to the internal processes of education and the structural relation of education to external social conditions. (shrink)

While early optimists have seen online discussions as potential spaces for deliberation, the reality of many online spaces is characterized by incivility and irrationality. Increasingly, AI tools are considered as a solution to foster deliberative discourse. Against the backdrop of previous research, we show that AI tools for online discussions heavily focus on the deliberative norms of rationality and civility. In the operationalization of those norms for AI tools, the complex deliberative dimensions are simplified, and the focus lies on the (...) detection of argumentative structures in argument mining or verbal markers of supposedly uncivil comments. If the fairness of such tools is considered, the focus lies on data bias and an input–output frame of the problem. We argue that looking beyond bias and analyzing such applications through a sociotechnical frame reveals how they interact with social hierarchies and inequalities, reproducing patterns of exclusion. The current focus on verbal markers of incivility and argument mining risks excluding minority voices and privileges those who have more access to education. Finally, we present a normative argument why examining AI tools for online discourses through a sociotechnical frame is ethically preferable, as ignoring the predicable negative effects we describe would present a form of objectionable indifference. (shrink)

Evolutionary Psychology is based on the idea that the mind is a set of special purpose thinking devices or modules whose domain-specific structure is an adaptation to ancestral environments. The modular view of the mind is an uncontroversial description of the periphery of the mind, the input-output sensorimotor and affective subsystems. The novelty of EP is the claim that higher order cognitive processes also exhibit a modular structure. Autism is a primary case study here, interpreted as (...) a developmental failure of a module devoted to social intelligence or Theory of Mind. In this article I reappraise the arguments for innate modularity of TOM and argue that they fail. TOM ability is a consequence of domain general development scaffolded by early, innately specified, sensorimotor abilities. The alleged Modularity of TOM results from interpreting the outcome of developmental failures characteristic of autism at too high a level of cognitive abstraction. (shrink)

Recent years have witnessed an enormous increase in behavioral and neuroimaging studies of numerical cognition. Particular interest has been devoted toward unraveling properties of the representational medium on which numbers are thought to be represented. We have argued that a correct inference concerning these properties requires distinguishing between different input modalities and different decision/output structures. To back up this claim, we have trained computational models with either symbolic or nonsymbolic input and with different task requirements, and showed (...) that this allowed for an integration of the existing data in a consistent manner. In later studies, predictions from the models were derived and tested with behavioral and neuroimaging methods. Here we present an integrative review of this work. (shrink)

A single global authority is not sufficient to regulate heterogenous agents in multiagent systems based on distributed architectures, due to idiosyncratic local situations and to the need to regulate new issues as soon as they arise. On the one hand institutions should be structured as normative systems with a hierarchy of authorities able to cope with the dynamics of local situations, but on the other hand higher authorities should be able to delimit the autonomy of lower authorities to issue valid (...) norms. In this paper, we study the interplay of obligations and strong permissions in the context of hierarchies of authorities using input/output logic, because its explicit norm base facilitates reasoning about norm base maintenance, and it covers a variety of conditional obligations and permissions. We combine the logic with constraints, priorities and hierarchies of authorities. In this setting, we observe that Makinson and van der Torre’s notion of prohibition immunity for permissions is no longer sufficient, and we introduce a new notion of permission as exception and a new distinction between static and dynamic norms. We show how strong permissions can dynamically change an institution by adding exceptions to obligations, provide an explicit representation of what is permitted to the subjects of the normative system and allow higher level authorities to limit the power of lower level authorities to change the normative system. (shrink)

In the article herein I address the issue of the non-reductive functionalist stance devised by David Chalmers and advocated by him in his 1995 paper entitled "Absent Qualia, Fading Qualia, Dancing Qualia". I attend to the argument provided in support of the thesis. The argument takes on the guise of neuron-to-silicon-chip switch thought experiment that involves two alternative-end scenarios of phenomenal consciousness, i.e. qualia, either gradually fading away as silicon chips prevail over neurons in the brain or disappearing abruptly with (...) the removal of a single consecutive neuron and its replacement with a silicon chip. I comply with the main thrust of Charmers' account on the origin of phenomenal consciousness to the effect that it is the functional structure of the material bearer of mental faculties rather than the type of material that warrants the emergence of consciousness. Yet I find fault with certain features of Charmers' reasoning. My main criticism refers to the pivotal notion of functional structure that remains an abstract and requires substantiation. The attempt to trace the fact of having sensations and being aware of them back to an entity that is only hinted at and nowhere to be found within the neurophysiological, cognitive or biological domain falls short of a sound explanation. Thus I develop Charmers' line of argument further to specify an adequate and exhaustive characteristic of the said functional structure. I suggest that, apart from the usual aspects attributive of ordinary functional structure which is considered in terms of input, output and the algorithmic operations in-between, "graininess" should also be discerned. A functional structure eligible for inducing conscious sensations should be sufficiently subtle or, in other words, complex. (shrink)

G.A. Cohen is famous for his critique of John Rawls’s view that principles of justice are restricted in scope to institutional structures. In recent work, however, Cohen has suggested that Rawlsians get more than just the scope of justice wrong: they get the concept wrong too. He claims that justice is a fundamental value, i.e. a moral input in our deliberations about the content of action-guiding regulatory principles, rather than the output. I argue here that Cohen’s arguments for (...) extending the scope of justice equivocate across his distinction between fundamental principles of justice, i.e. principles that tell us what justice is; and regulatory principles of justice, i.e. principles that tell us what is required of us, all things – including justice – considered. Though Cohen initially had the regulatory sense of the word ‘justice’ in mind when critiquing the basic structure restriction, his replies to the problem of demandingness presuppose his own, fundamental sense of the word ‘justice’. The upshot is that he escapes demandingness at the cost of sacrificing regulatory justice’s capacity to provide clear guidance. I conclude by considering Peter Singer’s efforts to deal with demandingness in his own work on global poverty. Since Singer manages to deal with demandingness without giving up clarity, his work is a good a place to start in the search for regulatory principles that are suitable for the context of personal choice. (shrink)

This study aimed to explore practices and strategies that have successfully reduced time-to-proficiency of the workforce in large multinational organisations and develop a model based on them. The central research question of this study was: How can organisations accelerate time-to-proficiency of employees in the workplace? The study addressed three aspects: the meaning of accelerated proficiency, as seen by business leaders; the business factors driving the need for shorter time-to-proficiency and benefits accrued from it; and practices and strategies to shorten time-to-proficiency (...) of the workforce. 85 participants (n=85) from 7 countries who represented 10 economic sectors, 20 business sectors and 28 industry groups contributed 66 successful bounded project cases. A qualitative research approach was used. Data were collected through in-depth interviews with project leaders and by collecting additional project case documents. Data were analysed using thematic analysis to identify the themes in the data. Matrix analysis was then used to perform within-case and cross-case analysis to compare the project cases. 11 overarching themes were developed from the data analysis, out of which two overarching themes explained the characteristics of job-role proficiency and accelerated proficiency, while three overarching themes described the magnituide and scale of time-to-proficiency business problem, business drivers for accelerating proficiency and business benefits of reduced time-to-proficiency. Six overarching themes revealed the business practices employed by organisations to reduce time-to-proficiency: (1) Defining business-driven proficiency measures in terms of expected business outcomes from a job role; (2) Developing a proficiency reference map of all the inputs, conditions and roadblocks that determine or influence how required business outcomes are being produced in a job role; (3) Sequencing an efficient proficiency path of activities and experiences ordered to produce the desired business outcomes in the shortest possible time; (4) Manufacturing accelerated contextual experiences by leveraging on-the-job opportunities or training interventions in a compressed time-frame; (5) Promoting an active emotional immersion through engagements, consequences, stakes, feedback and proficiency assessments; and (6) Setting up a proficiency eco-system, providing timely support to performers while doing the job such as enabling job environment, highly involved manager, structured mentoring from experts, purposeful social connectivity with peers, leveraging subject matter experts and on-demand performance support systems. Organisations orchestrated these six business practices as an input-output-feedback system to reduce time-to-proficiency of the workforce. A conceptual model (Accelerated Proficiency Model) was developed representing interactions among six business-level practices/processes as a closed-loop system to explain the concept and process of accelerated proficiency in the workplace. These practices were implemented through a set of twenty-four strategies proven successful in various contexts. The strategies employed were much beyond the boundaries of conventional training interventions. The job itself acted as the primary mechanism to accelerate proficiency. A two-level hierarchical framework (6/24 framework of strategies) was also constructed in the form of a checklist consisting of six practices and twenty-four strategies for practitioners. Overall, the findings of this research study contribute significantly to the body of knowledge on accelerated proficiency. In particular, the conceptual model and the framework developed in this study can be implemented across a range of contexts, business sectors, job types and settings to reduce time-to-proficiency of the workforce. (shrink)

In a range of contexts, one comes across processes resembling inference, but where input propositions are not in general included among outputs, and the operation is not in any way reversible. Examples arise in contexts of conditional obligations, goals, ideals, preferences, actions, and beliefs. Our purpose is to develop a theory of such input/output operations. Four are singled out: simple-minded, basic (making intelligent use of disjunctive inputs), simple-minded reusable (in which outputs may be recycled as inputs), and (...) basic reusable. They are defined semantically and characterised by derivation rules, as well as in terms of relabeling procedures and modal operators. Their behaviour is studied on both semantic and syntactic levels. (shrink)

Neuropsychological results are increasingly cited in cognitive theories although their methodology has been severely criticised. The book argues for an eclectic approach but particularly stresses the use of single-case studies. A range of potential artifacts exists when inferences are made from such studies to the organisation of normal function – for example, resource differences among tasks, premorbid individual differences, and reorganisation of function. The use of “strong” and “classical” dissociations minimises potential artifacts. The theoretical convergence between findings from fields where (...) cognitive neuropsychology is well developed and those from the normal literature strongly suggests that the potential artifacts are not critical. The fields examined in detail in this respect are short-term memory, reading, writing, the organisation of input and output speech systems, and visual perception. Functional dissociation data suggest that not only are input systems organised modularly, but so are central systems. This conclusion is supported by findings on impairment of knowledge, visual attention, supervisory functions, memory, and consciousness. (shrink)

According to Ramsey (Representation reconsidered, Cambridge University Press, New York, 2007 ), only classical cognitive science, with the related notions of input–output and structural representations, meets the job description challenge (the challenge to show that a certain structure or process serves a representational role at the subpersonal level). By contrast, connectionism and other nonclassical models, insofar as they exploit receptor and tacit notions of representation, are not genuinely representational. As a result, Ramsey submits, cognitive science is taking (...) a U-turn from representationalism back to behaviourism, thus presupposing that (1) the emergence of cognitivism capitalized on the concept of representation, and that (2) the materialization of nonclassical cognitive science involves a return to some form of pre-cognitivist behaviourism. We argue against both (1) and (2), by questioning Ramsey’s divide between classical and representational, versus nonclassical and nonrepresentational, cognitive models. For, firstly, connectionist and other nonclassical accounts have the resources to exploit the notion of a structural isomorphism, like classical accounts (the beefing-up strategy); and, secondly, insofar as input–output and structural representations refer to a cognitive agent, classical explanations fail to meet the job description challenge (the deflationary strategy). Both strategies work independently of each other: if the deflationary strategy succeeds, contra (1), cognitivism has failed to capitalize on the relevant concept of representation; if the beefing-up strategy is sound, contra (2), the return to a pre-cognitivist era cancels out. (shrink)

A mathematical theory is proposed and exemplified, which covers an extended class of black boxes. Every kind of stimulus and response is pictured by a channel connecting the box with its environment. The input-output relation is given by a postulate schema according to which the response is, in general, a nonlinear functional of the input. Several examples are worked out: the perfectly transmitting box, the damping box, and the amplifying box. The theory is shown to be (a) (...) an extension of the S-matrix theory and the accompanying channel picture as developed in microphysics; (b) abstract and applicable to any problem involving the transactions of a system (physical, biological, social, etc.) with its milieu; (c) superficial, because unconcerned with either the structure of the box or the nature of the stimuli and responses. The motive for building the theory was to show the capabilities and limitations of the phenomenological approach. (shrink)

This chapter examines a question at the intersection of the mind-body problem and the analysis of mental representation: the question of the direction of constraint between psychological fact and theory and neurophysiological or physical fact and theory. Does physiology constrain psychology? Are physiological facts more basic than psychological facts? Or do psychological theories, including representational analyses, guide and constrain physiology? Despite the antireductionist bent of functionalist positions, it has generally been assumed that physics or physiology are more basic than, and (...) hence contraining on, psychological fact and theory. Section 1 sketches the intuitions that would lead one to adopt such a view. The chapter then examines whether one-sided constraint has been and should be found in practice. It argues that philosophical analysis of psychological science shows that rigorous functional analyses can be carried out in advance of physiological knowledge. Indeed, in the investigation of sensory perception, ascription of psychological function leads the way in the individuation and investigation of neurophysiology. We shall look at several cases in visual perception (binocular single vision, stereopsis, and color vision), in which psychological results have provided a basis for physiological research. It is tempting to think that the psychological functions that enable physiological investigation would be Wrightian teleofunctions. It is, thus, natural to suppose that psychologists and neurophysiologists have proceeded with a conception of the purpose of a given neural structure, and have viewed neural anatomy and neural activity as the substrate for or instantiation of various properly psychological functions. For example, neuroscientists surely understand that the eye and visual system are for seeing, rather than for detecting an electric discharge in the vicinity of the retina (which sighted humans can do, via the subjective light produced by such discharges), and they guide their investigations of the eye, visual cortex, and intervening pathways accordingly. As a result, they will view rods and cones in the eye as photoreceptors, even though these structures will produce "output" (will respond with hyperpolarization) to other forms of energy. At the same time, there may be cases in which the functions that have guided research are in fact precisely determined input-output functions, whose teleofunctional status is absent or misdescribed. I will argue that in the case of trichromatic color matches, the psychological function involved is an input-output function, and that this result has implications for the description of color vision as a psychological capacity. (shrink)

We present results from numerical studies of supervised learning operations in recurrent networks considered as graphs, leading from a given set of input conditions to predetermined outputs. Graphs that have optimized their output for particular inputs with respect to predetermined outputs are asymptotically stable and can be characterized by attractors which form a representation space for an associative multiplicative structure of input operations. As the mapping from a series of inputs onto a series of such attractors (...) generally depends on the sequence of inputs, this structure is generally noncommutative. Moreover, the size of the set of attractors, indicating the complexity of learning, is found to behave non-monotonically as learning proceeds. A tentative relation between this complexity and the notion of pragmatic information is indicated. (shrink)

An underlying assumption in computational approaches in cognitive and brain sciences is that the nervous system is an input–output model of the world: Its input–output functions mirror certain relations in the target domains. I argue that the input–output modelling assumption plays distinct methodological and explanatory roles. Methodologically, input–output modelling serves to discover the computed function from environmental cues. Explanatorily, input–output modelling serves to account for the appropriateness of the computed function (...) to the explanandum information-processing task. I compare very briefly the modelling explanation to mechanistic and optimality explanations, noting that in both cases the explanations can be seen as complementary rather than contrastive or competing. (shrink)

Inverted spectrum and absent-qualia arguments have at least shown that giving the functional role of a qualitative state is challenging, as it is arguable that the same functional organization among one's inputs, outputs, and mental states can be preserved despite having one's qualia radically altered or eliminated. Sydney Shoemaker has proposed a promising strategy for the functionalist: defining a given qualitative state as being disposed to cause a belief that one is in such a state. Such beliefs would be different (...) or not obtain should the qualitative state be altered or absent—showing that the qualitative state is in fact functionally relevant. I will argue that this approach, and a similar one by David Chalmers, face a difficulty in accounting for qualia at a fine grain, particularly those that do not readily fit our linguistic concepts and/or occur in peripheral awareness. I then show how the problem can be solved by incorporating certain conditional statements into functional definitions of qualia, and by relying on two theoretical resources I will discuss: qualitative beliefs with nonlinguistic content and QSMs (qualia-structuring mental phenomena). (shrink)

In lieu of an abstract, here is a brief excerpt of the content:Varela and EmbodimentElena PasquinelliFrancisco Varela (1946-2001) studied biology in Chile and in the United States with neurobiologist Humberto Maturana, with whom he developed the theory of autopoiesis. According to this theory, the minimal form of autonomy that defines biological life is autopoiesis or self-production, which has the aspect of a reaction network, operationally closed and membrane bound. The theory of autopoiesis suggests that the nervous system cannot be considered (...) as an input-output information processing system. After some years spent in the United States, Varela moved to Paris, France, where he addressed two main directions of research: the experimental study of brain activity—in particular as regards the neuronal integration during the performance of cognitive tasks—and the phenomenological investigation of human consciousness. Within this second direction of philosophical studies, Varela developed an original and controversial approach to cognition.1This approach, which has came to be called the enactive view, is aimed at overcoming the mind/world dichotomy felt by many to be a hindrance to the development of a mature psychology. In Varela's enactive view, the world and the cognitive organism determine each other: the organism selects relevant properties of the physical world, and the world selects the structure of the organism, during their respective co-evolutionary history.An important tenet of the enactive approach is in fact that cognition is embodied. This claim represents a crucial step toward the development of a new trend of research in cognitive sciences, where the cognitive process is investigated without abstracting from the conditions in which it takes place. In fact, the statement that "the body matters" for cognition brings forth relevant consequences for the conception of the body and the mind and contains indications for research on the loop between perception, cognition, and action. The statement that "the body matters" for cognition is indeed quite widespread in circles that oppose the classical computationalist-representationalist approach to cognition. But in what way does the body play a constitutive role in cognition? And what should we mean by the term "body"?The claim about embodiment in cognition can be understood as a statement relative to the role played by the physical structure of the body in cognitive, perceptual, and motor performances and acquisitions. However, the conception of the body as simply a physical entity is only one step toward a [End Page 33] theory of the co-determination of the organism and the world that is proposed by Varela. As a medium of the interaction with the world, Varela conceives the body as a structured set of behavioral repertories, of motor and perceptual capabilities and activities. Embodiment goes beyond the physical structure of the organism since it is principally characterized by the sensorimotor structure of the animal: body-scaling, sensory-motor capacities. "The actions of an animal and the world in which it performs these actions are inseparably connected. Going through life as a small fly makes a cup of tea appear like an ocean of liquid; an elephant, however, will see the same amount of tea as an insignificant drop, tiny and barely noticeable. What is perceived appears inseparably connected with the actions and the way of life of an organism."2Sensorimotor capacities, or the activity of the animal, are then crucial in the mutual enactment of the world and mind. As the world selects the sensorimotor capacities of the animals that are valid for life and adaptation, animals select the properties of the world that are relevant for their structure: "the structure of the perceiving animal, understood as the kinds of self-organizing neuronal networks that couple sensory and motor surfaces, which determine both how the animal can be modulated by the environmental events and how sensory-motor activity participates in animal-environment codetermination." 3 As a consequence, "animals with different sensory-motor capacity would segment the world in different ways. As a corollary, we claim that the prespecified world we find... is actually the world as described in relation to the sensory-motor capacities of the higher primates."4The assertion of embodiment as relevant for the proper motor-perceptual activities of the organism is strictly connected to the idea that action and... (shrink)

Poland has produced two of the greatest economists of the past century, namely Michal Kalecki and Oskar Lange. Both worked with a wide and penetrating view of the economy and society, more typical of the great classical economists than of those of their own time. During the post-World War II 'Golden Age of Growth', while Keynes was the patron saint of economic theory and policy in the industrialised capitalist countries, Kalecki and Lange had a similar influence and role among the (...) developing nations and – perhaps to a lesser extent – in socialist countries. Kalecki's 'The problem of financing of economic development' (Kalecki, 1954), and Lange's 'Some observations on input-output analysis' (Lange, 1957), in particular,deeply influenced the approach to economic and social development of a whole strand of structural economics, both in terms of economic analysis and practical policy. With the end of the Golden Age and the momentous neoliberal reaction then started, they became almost forgotten. The economics of Kalecki, however, has inspired in the last few decades the renaissance of a genuine – albeit still marginal(ised) – form of Keynesianism, the so called 'post-Keynesianism' ('bastard Keynesianism', as Joan Robinson called it, being the dominant, mainstream form of Keynesianism). Oskar Lange, on the other hand, does not yet seem to have been re-discovered to inspire a similar renaissance of advanced analysis and planning of policies for modern structural change and development. This paper proposes such a re-discovery. The main concern of Lange's 'Observations' is the appropriate intersectoral allocation of investment for efficient output growth. While output growth is still one of the main objectives in most societies, the growth of human capabilities should be an increasingly relevant concern, both in its own right, and in view of the existing ecological constraints. Buzaglo (2014a; b) postulated the existence of an  (aleph) matrix, describing the proportions of the different capabilities necessary for the achievement of every particular capability. The present paper is about introducing capabilities within Lange's framework of analysis. A Lange-inspired analysis investigates the appropriate structures and properties of capability-enhancing growth paths. (shrink)

Aiming to improve the commercialization efficiency of scientific innovative achievements, this paper utilizes the time series visualization method to construct the time series network of each subsystem. After that, the network similarity is calculated by the cosine similarity theorem. On this basis, a new multilayer network adjacency matrix is obtained. With the adoption of k-core technology, the critical nodes can be identified to study the transformation efficiency of the innovation value in the network. Finally, according to the provincial innovation value (...) transformation data of China from 1998 to 2016, an empirical study was carried out to calculate and analyze the transformation efficiency of innovation achievements in 30 provinces. The results indicate that the transformation efficiency of innovation value can be expressed by the structure of the time series network constructed by the input-output vectors; the mapping relationship of the value transformation vectors could be reflected by the cosine similarity of the time series network, while the transformation efficiency of innovation value could be identified using the k-core; and the transformation efficiency of innovation value in three coastal provinces is relatively higher, while that of the rest of the provinces is roughly the same among the 30 provinces. (shrink)

I argue that the term "interactive" should be considered a general-purpose term that indicates something about whatever it is applied to, whether that is art, artifact, or nature. I base my definition in the notion of "interacting with" something. First, I look for essential features of this relation, and then using these features, I develop a notion of interactivity that can help distinguish the interactive from non-interactive arts. Although I am skeptical of the benefits interactivity affords, interactive artworks are significant (...) in that they are the first instances of mass art to be truly "concreative." Prior to building a definition of interactivity, I provide a novel reading of Collingwood in order to revive his notion of "concreativity" for contemporary application. In order to develop my theory of interactivity as mutual responsiveness, I analyze four problematic definitions of interactivity: (1) the control theory, (2) the making use theory, (3) the input/output theory, (4) Dominic McIver Lopes' modifiable structure theory, and (5) Janet Murray's procedural/participatory theory. In each case, I reveal a problem that my final notion solves. After presenting a definition of interactivity, I defend the viability of my theory against skeptical remarks that interactivity is a useless concept. To highlight the significance of my analysis, I analyze an argument against the value of concreative art—that interactivity is incompatible with narrative immersion. (shrink)

By studying several cases of expert systems' use, a variety of difficulties were identified as directly depending on specific characteristics of experts and their tasks. This concerns more than the questions: “May experts be replaced by machines?” or “Is experts' knowledge explicable?”. The organisational structure of their work as well as the cyclic, non-plannable way of their task performing have further relevance. The paper introduces the concept of experts' systems to deal with diversities of their expertise and complexities of (...) their work. It draws a distinction between non-monotonic problem solving, exploration, medium and modification, and argues that these modes are not reducible to yet another improved input/output strategy or dialogue style but introduce additional functions supporting the human-computer interaction according to experts' needs. In the first few sections, the paper covers the theoretical and empirical results of our research, whereas Section 4 introduces our design suggestions for experts' systems. (shrink)

The nature of biological autonomy and the choice of an appropriate framework for understanding it are subjects of ongoing debates in philosophy of biology and cognitive science. The enactivist view, originating with Humberto Maturana and Francisco Varela, emphasizes the concepts of organizational or operational closure and structural coupling between the organism and its environment as central in the context of autonomy. The proponents of this view contrast it with the traditional cybernetic paradigm based on inputs, outputs, feedback, and internal representations. (...) This essay takes a synoptic view of the relevant issues and situates them in the context of modern theory of systems and control, in particular the behavioral approach developed by Jan Willems. It is argued that the behavioral approach, which favors a fairly liberal notion of control as interconnection without any prefigured designation of inputs and outputs, provides a more fruitful background for understanding and modeling of biological autonomy. (shrink)

We present a method for rejecting competing models from noisy time-course data that does not rely on parameter inference. First we characterize ordinary differential equation models in only measurable variables using differential-algebra elimination. This procedure gives input-output equations, which serve as invariants for time series data. We develop a model comparison test using linear algebra and statistics to reject incorrect models from their invariants. This algorithm exploits the dynamic properties that are encoded in the structure of the (...) model equations without recourse to parameter values, and, in this sense, the approach is parameter-free. We demonstrate this method by discriminating between different models from mathematical biology. (shrink)

Elephant 2000 is a proposed programming language good for writing and verifying programs that interact with people (eg. transaction processing) or interact with programs belonging to other organizations (eg. electronic data interchange) 1. Communication inputs and outputs are in an I-O language whose sentences are meaningful speech acts identified in the language as questions, answers, offers, acceptances, declinations, requests, permissions and promises. 2. The correctness of programs is partly defined in terms of proper performance of the speech acts. Answers should (...) be truthful and responsive, and promises should be kept. Sentences of logic expressing these forms of correctness can be generated automatically from the form of the program. 3. Elephant aource programs may not need data structures, because they can refer directly to the past. Thus a program can say that an airline passenger has a reservation if he has made one and hasn't cancelled it. 4. Elephant programs themselves can be represented as sentences of logic. Their extensional properties follow from this representation without an intervening theory of programming or anything like Hoare axioms. 5. Elephant programs that interact non-trivially with the outside world can have both input-output specification, relating the programs inputs and outputs, and accomplishment specifications concerning what the program accomplishes in the world. These concepts are respectively generalizations of the philosophers' illocutionary and perlocutionary speech acts. 6. Programs that engage in commercial transactions assume obligations on behalf of their owners in exchange for obligations assumed by other entities. It may be part of the specification of an Elephant 2000 program that these obligations are exchanged as intended, and this too can be expressed by a logical sentence. 7. Human speech acts involve intelligence. Elephant 2000 is on the borderline of AI, but the article emphasizes the Elephant usages that do not require AI. (shrink)

We compare fork arrow logic, an extension of arrow logic, and its natural first-order counterpart (the correspondence language) and show that both have the same expressive power. Arrow logic is a modal logic for reasoning about arrow structures, its expressive power is limited to a bounded fragment of first-order logic. Fork arrow logic is obtained by adding to arrow logic the fork modality (related to parallelism and synchronization). As a result, fork arrow logic attains the expressive power of its first-order (...) correspondence language, so both can express the same input–output behavior of processes. (shrink)

There are two well-developed formalizations of discrete time dynamic systems that evidently share many concerns but suffer from a lack of mutual awareness. One formalization is classical systems and automata theory. The other is the logic of actions in which the situation and event calculi are the strongest representatives. Researchers in artificial intelligence are likely to be familiar with the latter but not the former. This is unfortunate, for systems and automata theory have much to offer by way of insight (...) into problems raised in the logics of action. This paper is an outline of how the input-output view of systems and its associated solution of state realization may be applied to the formalization of dynamics that uses a situation calculus approach. In particular, because the latter usually admits incompletely specified dynamics, which induces a non-deterministic input-output system behavior, we first show that classical state realization can still be achieved if the behavior is causal. This is a novel systems-theoretic result. Then we proceed to indicate how situation calculi dynamic specifications can be understood in systems-theoretic terms, and how automata can be viewed as models of such specifications. As techniques for reasoning about automata are abundant, this will provide yet more tools for reasoning about actions. (shrink)