A principal goal of the discipline of artificial morality is to design artificial agents to act as if they are moral agents. Intermediate goals of artificial morality are directed at building into AI systems sensitivity to the values, ethics, and legality of activities. The development of an effective foundation for the field of artificial morality involves exploring the technological and philosophical issues involved in making computers into explicit moral reasoners. The goal of this paper is to discuss strategies for implementing (...) artificial morality and the differing criteria for success that are appropriate to different strategies. (shrink)

Although the UN and EU focus their climate policies on the prevention of a 2 8C global mean temperature rise, it has been estimated that a rise of at least 4 8C is more likely. Given the political climate of inaction, there is a need to instigate a bottom-up approach so as to build domestic support for future climate treaties, empower citizens, and motivate leaders to take action. A review is provided of the predominant top-down cap-and-trade policies (...) in place – the Kyoto Protocol and EU Emissions Trading Scheme (EU ETS) – with a focus on the grandfathering of emissions entitlements and the possibility of offsetting emissions. These policies are evaluated according to two criteria of justice and it is concluded that they fail to satisfy them. Some suggestions as to how the EU ETS can be improved so as to enable robust climate action are also offered. (shrink)

The philosophy of mathematics of the last few decades is commonly distinguished into mainstream and maverick, to which a ‘third way’ has been recently added, the philosophy of mathematical practice. In this paper the limitations of these trends in the philosophy of mathematics are pointed out, and it is argued that they are due to the fact that all of them are based on a top-down approach, that is, an approach which explains the nature of mathematics in (...) terms of some general unproven assumption. As an alternative, a bottom-up approach is proposed, which explains the nature of mathematics in terms of the activity of real individuals and interactions between them. This involves distinguishing between mathematics as a discipline and the mathematics embodied in organisms as a result of biological evolution, which however, while being distinguished, are not opposed. Moreover, it requires a view of mathematical proof, mathematical definition and mathematical objects which is alternative to the top-down approach. (shrink)

In lieu of an abstract, here is a brief excerpt of the content:Philosophy, Psychiatry, & Psychology 11.1 (2004) 65-70 [Access article in PDF] Top-Down and Bottom-Up in Delusion Formation Jakob Hohwy Keywords delusions, top-down, bottom-up, predictive coding Some delusions may arise as responses to unusual experiences (Davies et al. 2001; Maher 1974;). The implication is that delusion formation in some cases involves some kind of bottom-up mechanism—roughly, from perception to belief. Delusion formation may also involve (...) some kind of top-down mechanism. This could be in the shape of a patient's flawed background beliefs, or biases, which somehow modulate perception or ensure delusional interpretations of experience. There is little agreement about what kind of mechanism is primary in delusion formation, or, indeed, what the particular mechanisms and their neural substrates might be.In the evaluation of top-down and bottom-up mechanisms in delusion formation, a number of conceptual questions should be addressed (Davies and Coltheart 2000). For example, if there is an experiential component, why is a hypothesis with a delusional explanation of the unusual experience seen as relevant? Why do the subjects come to believe it tenaciously? How come some unusual experiences do not develop into delusions?A number of empirical findings also need to be taken into account: for example, the damage to the autonomic system in Capgras delusion (Ellis et al. 1997), the decreased ability for fast error correction in schizophrenia (Frith and Done 1989), modulation of activity in parietal cortex in delusions of alien control and other passivity experiences (Blakemore, Oakley, and Frith 2003), and also in schizophrenia, the increased sensitivity to self-produced stimuli, such as tickling oneself (Blakemore et al. 2000) and the sound of one's own voice (Ford et al. 2001).Theory choice can also be guided by philosophical doctrines about, for example, the nature of belief, the constitutive role of rationality, and intersubjectivity and the nature of judgements about the external world. It is natural, however, to let beliefs about philosophical doctrine be secondary to empirical findings and conceptual issues.The distinction between bottom-up and top-down mechanisms is particularly sharp in John Campbell's (2001) account of delusions and in Tim Bayne and Elisabeth Pacherie's (2004) discussion of Campbell. In this discussion, top-down approaches are associated with the general philosophical doctrine of rationalism, and bottom-up approaches with the philosophical doctrine of empiricism. Campbell's account is top-down because he posits delusional framework beliefs that arise directly as a result of brain damage or malfunction, and that work in some top-down fashion on the interpretation of experience. Bayne [End Page 65] and Pacherie convincingly defend empiricism against Campbell's rationalist account. Among their many other objections, they briefly puzzle about how a delusional framework belief (e.g., that one's spouse is an impostor) in a top-down fashion could cause the damage to the autonomic system seen in the Capgras and Cotard delusions (2004, 1). I think this is a very important objection because skin conductance data are part of the evidence for the bottom-up hypothesis concerning the Capgras delusion. We could add to this, for example, that it is mysterious how belief in a top-down fashion could cause people with schizophrenia to be worse at fast error correction than normal controls, to be better at tickling themselves than normal controls, and to have an increased response to the sound of their own voice.On the other hand, although the skin conductance response (SCR) evidence suggests a bottom-up approach to the Capgras delusion, it does not explain the character of the subjective experience that is hypothesized to give rise to the delusional belief: reduced SCR is not part of the experience itself (thanks to Ian Gold for discussion of this). Something more is required to give a full account of the type of experience that gives rise to the delusion. Further, as they stand, most bottom-up accounts are unable to account for why reality testing fails for beliefs based on these experiences.Neither rationalism nor empiricism on their own seem able to address the conceptual questions while paying... (shrink)

In this paper I want to discuss the implications of adopting different general philosophical approaches for assessing the relation between perception and imagination. In particular, I am interested in different views resulting from ‘top down’ and ‘bottom up’ approaches to cognition. By ‘top down’ approaches I meanapproaches that conceive of cognition as a process or activity that is guided by intellectual or conceptual (‘top’) elements. (I consider broadly speaking Kantian accounts typical.) By ‘bottom up’ approaches I (...) mean approaches that conceive of cognition as a process that emerges from perceptual or embodied (‘bottom’)elements of cognition. (I consider phenomenological and situated cognition accounts typical.) My considerations are framed by a particular interest in the ensuing consequences of assuming different general frameworks for integrating the issue of imagination within a theory of situated cognition. (shrink)

A popular approach to monothematic delusions in the recent literature has been to argue that monothematic delusions involve broadly rational responses to highly unusual experiences. Campbell calls this the empiricist approach to monothematic delusions, and argues that it cannot account for the links between meaning and rationality. In place of empiricism Campbell offers a rationalist account of monothematic delusions, according to which delusional beliefs are understood as Wittgensteinian framework propositions. We argue that neither Campbell's attack on empiricism nor (...) his rationalist alternative to empiricism is successful. (shrink)

Explanation of inversions in Russian history causes major conceptual problems. The traditionally used conceptual apparatus and its theoretical schemes does not seem to really “grasp” this reality, at best, it only describes the Russian reality to some extent. It simply fails to capture the nature and mechanisms that lie in the specifics of Russian society and its dynamics. Hence, there are widespread conclusions about “pathology,” historical “rut,” constant matrix, and endless reproduction of the “predetermined” characteristics of social life in Russia. (...) However, expanding the conceptual apparatus with a constructive approach, combined with a specific historical approach, makes it possible to single out more than one agent of modernization processes (political elite, merged with state authorities), but at least two - authority and society taken discreetly. From this point of view, the inverse nature of Russian modernization has two causes. One of these is social, associated with the peculiarities of Russian society, where underdeveloped social forces are dominated by the imperious will. The second cause is related to modernization attempts based on external historical experience. However, due to the former cause, these attempts turn out to be premature and ill-conceived, giving rise to new conflicts and deformations in society. Both causes are complementary and intertwined. At the same time, there are general civilizational processes, such as urbanization and formation of a mass society, modernization processes in Russian society, including the formation of national identity. This creates prerequisites for a qualitative change in the development of society. If the main factors of inversion “from top down” are hasty and imitative, then doing things “from bottom up” presupposes slow development of the middle class, which, nevertheless, creates conditions for real mediation. (shrink)

The implementation of moral decision making abilities in artificial intelligence (AI) is a natural and necessary extension to the social mechanisms of autonomous software agents and robots. Engineers exploring design strategies for systems sensitive to moral considerations in their choices and actions will need to determine what role ethical theory should play in defining control architectures for such systems. The architectures for morally intelligent agents fall within two broad approaches: the top-down imposition of ethical theories, and the bottom-up (...) building of systems that aim at goals or standards which may or may not be specified in explicitly theoretical terms. In this paper we wish to provide some direction for continued research by outlining the value and limitations inherent in each of these approaches. (shrink)

This paper explores the interaction between implicit and explicit processes during skill learning, in terms of top-down learning (that is, learning that goes from explicit to implicit knowledge) versus bottom-up learning (that is, learning that goes from implicit to explicit knowledge). Instead of studying each type of knowledge (implicit or explicit) in isolation, we stress the interaction between the two types, especially in terms of one type giving rise to the other, and its effects on learning. The work (...) presents an integrated model of skill learning that takes into account both implicit and explicit processes and both top-down and bottom-up learning. We examine and simulate human data in the Tower of Hanoi task. The paper shows how the quantitative data in this task may be captured using either top-down or bottom-up approaches, although top-down learning is a more apt explanation of the human data currently available. These results illustrate the two different directions of learning (top-down versus bottom-up), and thereby provide a new perspective on skill learning. Ó 2003 Elsevier B.V. All rights reserved. (shrink)

The decolonial theory understands that Western Modernity keeps imposing itself through a triple mutually reinforcing and shaping imprisonment: coloniality of power, coloniality of knowledge, and coloniality of being. Technical design has an essential role in either maintaining or overcoming coloniality. In this article, two main approaches to decolonizing the technical design are presented. First is Yuk Hui’s and Ahmed Ansari’s proposals that, revisiting or recovering the different histories and philosophies of technology produced by humankind, intend to decolonize the minds of (...) philosophers and engineers/architects/designers as a pre-condition for such decolonial designs to take place. I call them top-down approaches. Second is some technical design initiatives that, being developed alongside marginalized/subalternate people, intend to co-construct decolonial sociotechnical solutions through a committed, decolonizing, and careful dialog of knowledge. I call them bottom-up approaches. Once that is done, the article’s second half derives ontological, epistemological, and political consequences from the conjugation of top-down and bottom-up approaches. Such consequences challenge some established or not yet entirely overcome understandings in the philosophy of technology and, in so doing, are meant to represent some steps in PT’s decolonization. Even though both top-down and bottom-up approaches are considered, the article’s main contributions are associated with decolonial technical design practices, whose methodologies and outcomes are important study cases for PT and whose practitioners can be taken as inspiring examples for philosophers who want to decolonize/enlarge PT or make it decolonial. (shrink)

Development is a process whereby a relatively unspecified system comprised of loosely connected lower level parts becomes organized into a coherent, higher-level agency. Its temporal corollaries are growth, increasingly deterministic behavior, and a progressive reduction of developmental potential. During immature stages with relatively low specification and high potential, development is largely controlled by local interactions from the “bottom-up,” whereas during more highly specified stages with reduced potential, emergent autocatalytic processes exert “top-down” control. Robert Ulanowicz has shown that this (...) phenomenology of ascendency follows thermodynamic principles and can be described quantitatively using information theory, providing a general theory of development. However, the theory has not found a wide audience among developmental biologists, as genetic determinism encourages the popular reductionistic perception that ontogeny is controlled entirely by molecular mechanisms that exert efficient causality from the bottom-up. Nonetheless, measurements of metabolic rates and mRNA complexity in developing embryos, as well as functional analyses of gene regulatory systems, indicate that ontogeny fits the paradigm of developmental ascendency. Beyond informing biomedical research and the interpretation of large datasets obtained by systems-biological approaches, developmental ascendency helps explain the origin of life, and, being independent of scale, provides an overarching explanation for phylogenetic change that contextualizes Darwinian evolution. (shrink)

What are the roles of scientific causal knowledge in relation to the evidential requirements of policy making? In this chapter, I review the existing approaches in philosophy of science to the policy relevance of causal knowledge. I assess the specific concerns and questions on which these philosophical accounts have focused and show how they only offer a partial perspective of the relation between causal knowledge and policy making. Most existing views are top-down approaches: they start from philosophical concerns about (...) causation and evidence, and then make general claims about (potential) policy implications, but leave the notion of “policy” unanalyzed. As an alternative, I put forward some ideas toward a bottom-up approach: one that understands policy making as a dynamic process with several stages, and that starts from concrete policy problems, to then examine how causal notions and methods can contribute in various ways to the specifics of the process of policy making. (shrink)

Jesper Ahlin Marceta published an article in this journal in which he formulated his “argument from testability”, stating that it is impossible, at least practically, to operationalize procedural authenticity. That is, using procedural accounts of authenticity, one cannot reliably differentiate between authentic and inauthentic desires. There are roughly two ways to respond to the argument from testability: top-down and bottom-up. Several authors have endeavored the top-down approach by trying to show that some conceptions of authenticity might (...) be operationalizable after all. At present, however, the bottom-up approach has not been put to the test. That is, no attempt has been made to use a currently existing assessment tool to guide the development of an account of authenticity. In this paper, I will investigate what it means to develop an account of authenticity bottom-up based on measures of concordance. More specifically, I will investigate the following three research questions. First, how do concordance and authenticity relate at a conceptual level? As crucial similarities exist between these concepts, concordance measures seem to offer a good starting point for the bottom-up approach. Second, how do judgements of concordance differ from judgements of authenticity? Both their scope and the way they are justified will turn out to be different. This suggests novel ways to react to Marceta’s argument from testability. Third, should we develop a theory of concordance? The positive answer to this question will point towards a central limitation of the bottom-up approach. (shrink)

The question of the unity of consciousness is often treated as the question of how different conscious experiences are related to each other in order to be unified. Many contemporary views on the unity of consciousness are based on this bottom-up approach. In this paper I explore an alternative, top-down approach, according to which (to a first approximation) a subject undergoes one single conscious experience at a time. From this perspective, the problem of unity of consciousness (...) becomes rather the problem of how we can distinguish a multiplicity of goings-on within our conscious experience at any time, given that it is unique. I will present three possible top-down approaches to unity of consciousness, which I call Priority unity monism, Existence unity monism, and Brentanian unity monism. Priority monism and Existence monism are defined in analogy with the homonymous metaphysical theories of object constitution. Brentanian monism retraces Franz Brentano’s view on unity of consciousness, and is defined by appeal to some of his mereological ideas. I will argue that the latter is the best top-down approach to unity of consciousness. (shrink)

스스로 도덕적 결정을 내리는 로봇을 가리켜 ‘인공적 도덕 행위자(Artificial Moral Agent: AMA)’라고 부르는데, 현재 인공적 도덕 행위자를 위한 윤리를 마련하고자 하는 접근은 크게 세 가지로 구분된다. 우선 전통적인 공리주의나 의무론적 윤리이론에 기반을 둔 하향식(top-down) 접근, 콜버그나 튜링의 방식을 따르는 상향식(bottom-up) 접근, 그리고 이 두 접근을 융합하려는 혼합식(hybrid) 접근이 있다. 인공적 도덕 행위자 설계에 대한 하향식 접근은 어떤 구체적 윤리이론을 선택한 다음, 그 이론을 구현할 수 있는 계산적 알고리즘과 시스템 설계를 이끌어내는 방식이다. 이 때 선택된 구체적 윤리이론은 도덕적 직관이 (...) 불확실할 때의 사례들을 인공적 도덕 행위자가 제대로 분류해낼 수 있도록 도와주는 중요한 역할을 한다. 반면 상향식 접근은 인공적인 도덕적 행위자가 다양한 기계-학습을 통해 도덕적인 추론을 배워나가도록 하는 방법을 모색한다. 상향식 접근의 중요한 전제는 아동이 적절한 발달 단계를 거치면서 도덕성과 도덕 추론을 배워나가듯이, 인공적 도덕 행위자도 적절한 교육을 통해 그와 같이 발전할 수 있다는 것이다. 이 글은 공리주의적 결과론에 바탕을 둔 의사결정의 모형과 규칙들을 칸트의 의무론적 윤리 추론 규칙과 조합하는 방식을 통해 인공적 도덕 행위자를 위한 하향식 접근의 윤리를 구상해 보았다. 그런 후 이렇게 마련된 윤리를 10세 수준의 소셜 로봇 시나리오에 적용해 봄으로써, 도덕적 민감성을 갖춘 인공적 도덕 행위자 로봇 개발에 이 윤리가 어떤 방식으로 활용될 수 있는지 제안하였다. (shrink)

The framework of effective field theory is a natural one in which to understand the claim that the spacetime of general relativity is an emergent low-energy phenomenon. I argue for a pragmatic understanding of EFT, given that the appropriate conception of emergence it suggests is necessarily epistemological in a sense. Analogue models of spacetime are examples of the top-down approach to EFT. They offer concrete illustrations of spacetime emergent within an EFT, and lure us toward a strong analogy (...) between condensed matter physics and GR. I argue that we should be wary of this strong analogy, not least because the pragmatic view of EFT places limits on how much we can legitimately draw from it. On the other hand, programs that treat GR as an EFT and calculate quantum corrections are an example of the bottom-up approach and are explicitly pragmatic in character. I explore what we may learn about the nature of emergent spacetime by comparing these two approaches. (shrink)

Top-down models typically used to explain social behavior involve specific adaptations and higher level cognition. The Pavlovian conditioning model proposed can be extended to explain formation of dominance hierarchies and group structure, can replace a pheromonal model of reproductive suppression, and can be applied to language learning. This bottom-up approach based on general learning principles is a refreshing alternative to top-down models.

“Chorus embodies an attempt to find out how far a mostly bottom-up approach to representation can be taken.” Models that embody both bottom-up and top-down learning have stronger computational properties and explain more data about representation than feedforward models do.

top-down approach (that is, turning declarative knowledge into procedural knowledge), we adopt a bottom-up approach toward lowlevel skill learning, where procedural knowledge develops rst and declarative knowledge develops from it. Clarionwhich follows this approach is formed by integrating connectionist, reinforcement, and symbolic learning methods to perform on-line learning. We compare the model with human data in a mine eld navigation task. A match between the model and human data is observed in several comparisons.

Comment on an article by Peter Zachar . To resolve the seemingly perennial battle between naturalistic and cultural approaches to emotions, we should recognize the former works best on primary-process emotions while the latter better describes how tertiary-processes emotions arise from higher neocortical brain regions. Emotional learning studies lie somewhere in between. Natural kind semantics may be justified if one works at the cross-species, neuro-evolutionary, naturalistic level, while surely being unsuitable for tertiary-process approaches. For investigators working at rock-bottom neuroscience (...) levels, the conflicts between naturalistic/ethological and constructivist/ componential approaches in human psychology have long seemed sterile and unproductive. An integration of the various levels of analysis should be most productive for lasting knowledge. 2012 APA, all rights reserved). (shrink)

This paper presents a skill learning model CLARION. Different from existing models of mostly high-level skill learning that use a top-down approach (that is, turning declarative knowledge into procedural knowledge through practice), we adopt a bottom-up approach toward low-level skill learning, where procedural knowledge develops first and declarative knowledge develops later. Our model is formed by integrating connectionist, reinforcement, and symbolic learning methods to perform on-line reactive learning. It adopts a two-level dual-representation framework (Sun, 1995), with (...) a combination of localist and distributed representation. We compare the model with human data in a minefield navigation task, demonstrating some match between the model and human data in several respects. (shrink)

In this paper, we explore a new perspective on digital humanism, emphasizing the centrality of multi-stakeholder dialogues and a bottom-up approach to surfacing stakeholder values. This approach starkly contrasts with existing frameworks, such as the Vienna Manifesto's top-down digital humanism, which hinges on pre-established first principles. Our approach provides a more flexible, inclusive framework that captures a broader spectrum of ethical considerations, particularly those pertinent to the digital realm. We apply our model to two case (...) studies, comparing the insights generated with those derived from a utilitarian perspective and the Vienna Manifesto's approach. The findings underscore the enhanced effectiveness of our approach in revealing additional, often overlooked stakeholder values, not typically encapsulated by traditional top-down methodologies. Furthermore, this paper positions our digital humanism approach as a powerful tool for framing ethics-by-design, by promoting a narrative that empowers and centralizes stakeholders. As a result, it paves the way for more nuanced, comprehensive ethical considerations in the design and implementation of digital technologies, thereby enriching the existing literature on digital ethics and setting a promising agenda for future research. (shrink)

Deep neural network (DNN) models of human-like vision are typically built by feeding blank slate DNN visual images as training data. However, the literature on human perception and perceptual learning suggests that developing DNNs that truly model human vision requires a shift in approach in which perception is not treated as a largely bottom-up process, but as an active, top-down-guided process.

Interpersonal coordination is a key factor in team performance. In interactive team sports, the limited predictability of a constantly changing context makes coordination challenging. Approaches that highlight the support provided by environmental information and theories of shared mental models provide potential explanations of how interpersonal coordination can nonetheless be established. In this article, we first outline the main assumptions of these approaches and consider criticisms that have been raised with regard to each. The aim of this article is to define (...) a theoretical perspective that integrates the coordination mechanisms of the two approaches. In doing so, we borrow from a theoretical outline of group action. According to this outline, group action based on a priori shared mental models is an example of how interpersonal coordination is established from the top down. Interpersonal coordination in reaction to the perception of affordances represents the bottom-up component of group action. Both components are inextricably involved in the coordination of interactive sports teams. We further elaborate on the theoretical outline to integrate a third, constructivist approach. Integrating this third approach helps to explain interpersonal coordination in game situations for which no shared mental models are established and game situations that remain ambiguous in terms of perceived affordances. The article describes how hierarchical, sequential and complex dimensions of action organization are important aspects of this constructivist perspective and how mental models may be involved. A basketball example is used to illustrate how top-down, bottom-up and constructivist processes may be simultaneously involved in enabling interpersonal coordination. Finally, we present the implications for research and practice. (shrink)

In his article, “Wittgenstein and Basic Moral Certainty,” Nigel Pleasants argues that killing an innocent, non-threatening person is wrong. It is, he argues, “a basic moral certainty.” He believes our basic moral certainties play the “same kind of foundational role as [our] basic empirical certaint[ies] do.” I believe this is mistaken. There is not “simply one kind of foundational role” that certainty plays. While I think Pleasants is right to affiliate his proposition with a Wittgensteinian form of certainty, he exposes (...) himself to a tension that exists in On Certainty regarding how we acquire it: is certainty natural, is it social? In this paper, I present two ways in which we come to possess certainty: a bottom-up approach, where certainty is part of our instinctual predisposition, and a top-down approach, where certainty is acquired through positive reinforcement by family and culture. (shrink)

This chapter contains sections titled: Top‐down vs Bottom‐up Core Elements of Casuistical Analysis Advantages of a Casuistical Approach Objections and Replies Conclusion References Further reading.

This chapter takes a naturalized approach to the philosophy of science using evidence from cognitive psychology and from the history of science. It first describes the problem of the theory ladenness of perception. Then it provides a general top-down/bottom-up framework from cognitive psychology that is used to organize and evaluate the evidence for theory ladenness throughout the process of carrying out science (perception, attention, thinking, experimenting, memory, and communication). The chapter highlights both the facilitatory and inhibitory role (...) of theory in the scientific process. Both the historical record and the evidence from cognitive psychology suggest that the top-down factors have their greatest impact when the bottom-up information is weak or degraded. There is a short discussion of the normative implications of the material in the chapter for carrying out science. (shrink)

Context: This paper is intended for readers familiar with Humberto Maturana’s theory of autopoietic systems and with the still unresolved debate concerning the existence of non-biological autopoietic systems. Because the seminal work of the Chilean biologist has not yet been fully and correctly understood in other disciplines, I consider that it is necessary to offer a more generalized concept of the autopoietic system, derived by implication from Maturana’s grounding definition. Problem: The above-mentioned debate is rooted in a deficient application of (...) some rigorous distinctions, definitions, and epistemological considerations introduced by Maturana when he coined the term “autopoiesis.” Some researchers think that social or economic organizations could be considered as autopoietic systems of a higher order because they appear to behave autonomously and be self-organized and self-producing. However, in practice some precise distinctions would need to be verified through observation in order to claim properly their autopoietic nature. These distinctions were defined by Varela, Maturana and Uribe in 1974 as a set of six decisional rules (“MV&U rules”) whereby an observer may possibly justify this stand. My aim is to pinpoint clearly the basic cognitive tasks that an observer should perform in order to ascertain such a claim. Method: I accomplish this with a thorough analysis of the entailments derived from each rule when applied to the most general case – when the observational domain where the system manifests itself is not specified. A bottom-up approach is used to avoid referring to “apparent autopoietic behavior” as a starting point distinction (top-down approach): the aim is to distinguish “autopoietic behavior” as an outcome of more basic distinctions, not as a premise for these. These may be used as abstract tools to facilitate a rigorous description of observations and lead to precise explanations of the emergence of complex self-generated dynamic systems. In theory, this conceptual frame is not limited to the macro-molecular domain and may therefore be applicable to non-biological systems. Results: According to MV&U rules, the most important distinctions are those that refer to intra-boundary phenomenology: this focus is necessary to explain how the key processes involved in the emergence of autopoiesis actually manifest themselves. These explanations are crucial to validating a claim about the “autopoietic nature” of an observed system. Implications: This work could help multidisciplinary researchers to apply properly the theory of autopoietic systems beyond the realm of biology and to settle ongoing debates. It could also help investigations related to the specifications of software simulation processes for modeling a minimal artificial autopoietic system. However, the rigorous focus on the role of intra-boundary phenomenology and self-production of components reveals that our chances of detecting “natural” meta-molecular autopoietic systems are scarce. (shrink)

This paper argues that Moore's specifist defence of critical thinking as ‘diverse modes of thought in the disciplines’, which appeared in Higher Education Research & Development, 30(3), 2011, is flawed as it entrenches relativist attitudes toward the important skill of critical thinking. The paper outlines the critical thinking debate, distinguishes between ‘top-down’, ‘bottom-up’ and ‘relativist’ approaches and locates Moore's account therein. It uses examples from one discipline-specific area, namely, the discipline of Literature, to show that the generalist (...) class='Hi'>approach to critical thinking does not ‘leave something out’ and outlines why teaching ‘generic’ critical thinking skills is central to tertiary education, teaching and learning, and employment opportunities for students. The paper also defends the assessment of critical thinking skills. (shrink)

This paper explores some ways in which artificial intelligence (AI) could be used to improve human moral judgments in bioethics by avoiding some of the most common sources of error in moral judgment, including ignorance, confusion, and bias. It surveys three existing proposals for building human morality into AI: Top-down, bottom-up, and hybrid approaches. Then it proposes a multi-step, hybrid method, using the example of kidney allocations for transplants as a test case. The paper concludes with brief remarks (...) about how to handle several complications, respond to some objections, and extend this novel method to other important moral issues in bioethics and beyond. (shrink)

Purpose – The purpose of this paper is to explore artificial moral agency by reflecting upon the possibility of a Moral Turing Test and whether its lack of focus on interiority, i.e. its behaviouristic foundation, counts as an obstacle to establishing such a test to judge the performance of an Artificial Moral Agent. Subsequently, to investigate whether an MTT could serve as a useful framework for the understanding, designing and engineering of AMAs, we set out to address fundamental challenges within (...) the field of robot ethics regarding the formal representation of moral theories and standards. Here, typically three design approaches to AMAs are available: top-down theory-driven models and bottom-up approaches which set out to model moral behaviour by means of models for adaptive learning, such as neural networks, and finally, hybrid models, which involve components from both top-down and bottom-up approaches to the modelling of moral agency. With inspiration from Allen and Wallace as well as Prior, we elaborate on theoretically driven approaches to machine ethics by introducing deontic tense logic. Finally, within this framework, we explore the character of human interaction with a robot which has successfully passed an MTT. Design/methodology/approach – The ideas in this paper reflect preliminary theoretical considerations regarding the possibility of establishing a MTT based on the evaluation of moral behaviour, which focusses on moral reasoning regarding possible actions. The thoughts reflected fall within the field of normative ethics and apply deontic tense logic to discuss the possibilities and limitations of artificial moral agency. Findings – The authors stipulate a formalisation of logic of obligation, time and modality, which may serve as a candidate for implementing a system corresponding to an MTT in a restricted sense. Hence, the authors argue that to establish a present moral obligation, we need to be able to make a description of the actual situation and the relevant general moral rules. Such a description can never be complete, as the combination of exhaustive knowledge about both situations and rules would involve a God eye’s view, enabling one to know all there is to know and take everything relevant into consideration before making a perfect moral decision to act upon. Consequently, due to this frame problem, from an engineering point of view, we can only strive for designing a robot supposed to operate within a restricted domain and within a limited space-time region. Given such a setup, the robot has to be able to perform moral reasoning based on a formal description of the situation and any possible future developments. Although a system of this kind may be useful, it is clearly also limited to a particular context. It seems that it will always be possible to find special cases in which a given system does not pass the MTT. This calls for a new design of moral systems with trust-related components which will make it possible for the system to learn from experience. Originality/value – It is without doubt that in the near future we are going to be faced with advanced social robots with increasing autonomy, and our growing engagement with these robots calls for the exploration of ethical issues and stresses the importance of informing the process of engineering ethical robots. Our contribution can be seen as an early step in this direction. (shrink)

In this article we argue that the classical—linear and bottom-up directed—models of causation in biology, and the ‘‘proximate/ultimate’’ dichotomy, are inappropriate to capture the complexity inherent to biological processes. We introduce a new notion of ‘‘multilevel causation’’ where old dichotomies such as proximate/ultimate and bottom-up/ top-down are reinterpreted within a multilevel, web-like, approach. In briefly reviewing some recent work on complexity, EvoDevo, carcinogenesis, autocatalysis, comparative genomics, animal regeneration, phenotypic plasticity, and niche construction, we will argue that (...) such reinterpretation is a necessary step for the advancement of the ‘‘Extended Synthesis.’’. (shrink)

The “top-down” and “bottom-up” approaches have been thought to exhaust the possibilities for doing cognitive neuroscience. We argue that neither approach is likely to succeed in providing a theory that enables us to understand how cognition is achieved in biological creatures like ourselves. We consider a promising third way of doing cognitive neuroscience, what might be called the “neural dynamic systems” approach, that construes cognitive neuroscience as an autonomous explanatory endeavor, aiming to characterize in its own (...) terms the states and processes responsible for brain-based cognition. We sketch the basic motivation for the approach, describe a particular version of the approach, so-called ‘Dynamic Causal Modeling’ (DCM), and consider a concrete example of DCM. This third way, we argue, has the potential to avoid the problems that afflict the other two approaches. (shrink)

There are many entry points into the problem of categorization. Two particularly important ones are the so-called top-down and bottom-up approaches. Top-down approaches such as artificial intelligence begin with the symbolic names and descriptions for some categories already given; computer programs are written to manipulate the symbols. Cognitive modeling involves the further assumption that such symbol-interactions resemble the way our brains do categorization. An explicit expectation of the top-down approach is that it will eventually join (...) with the bottom-up approach, which tries to model how the hardware of the brain works: sensory systems, motor systems and neural activity in general. The assumption is that the symbolic cognitive functions will be implemented in brain function and linked to the sense organs and the organs of movement in roughly the way a program is implemented in a computer, with its links to peripheral devices such as transducers and effectors. (shrink)

This paper reflects my address as IAAIL president at ICAIL 2021. It is aimed to give my vision of the status of the AI and Law discipline, and possible future perspectives. In this respect, I go through different seasons of AI research : from the Winter of AI, namely a period of mistrust in AI, to the Summer of AI, namely the current period of great interest in the discipline with lots of expectations. One of the results of the first (...) decades of AI research is that “intelligence requires knowledge”. Since its inception the Web proved to be an extraordinary vehicle for knowledge creation and sharing, therefore it’s not a surprise if the evolution of AI has followed the evolution of the Web. I argue that a bottom-up approach, in terms of machine/deep learning and NLP to extract knowledge from raw data, combined with a top-down approach, in terms of legal knowledge representation and models for legal reasoning and argumentation, may represent a promotion for the development of the Semantic Web, as well as of AI systems. Finally, I provide my insight in the potential of AI development, which takes into account technological opportunities and theoretical limits. (shrink)

I examine the role that mathematics plays in understanding and modelling finance, especially stock markets, and how philosophy affects it. To this end, I explore how mathematics penetrates finance via physics, constructing a ‘financial physics’, and I outline the philosophical backgrounds of this process, in particular the ‘philosophy of equilibrium’ and that of critical points or ‘out-of-equilibrium’. I discuss the main characteristics and a few weaknesses of these mathematizations of financial systems, notably econometrics and econophysics, and I compare the two (...) ways, top-down and bottom-up, of building mathematical approaches to finance. The top-down approach is the most used and the most conservative. I argue that it guarantees a mathematical account, but it is less effective than the more difficult bottom-up approach, which is more appropriate and which may end up without a mathematical account of financial phenomena. I then consider two important issues raised by a mathematical approach to finance, that is, the performative and the reversing side of mathematics, and an ethics of mathematics. In the first case I argue that mathematics not only can be a performative device, but it also enables ‘reversing’ dynamics, that is, a mathematical model may become not a representational tool, but a device of social engineering—a mathematical way of investigating what are the initial conditions and processes needed to obtain an intended result. In the second case I argue that this specific relation between mathematical modelling and prediction raises an ethical question in finance, namely, a responsible construction and use of the mathematical models provided by a financial physics. (shrink)

Understanding terrestrial carbon metabolism is critical because terrestrial ecosystems play a major role in the global carbon cycle. Furthermore, humans have severely disrupted the carbon cycle in ways that will alter the climate system and directly affect terrestrial metabolism. Changes in terrestrial metabolism may well be as important an indicator of global change as the changing temperature signal. Improving our understanding of the carbon cycle at various spatial and temporal scales will require the integration of multiple, complementary and independent methods (...) that are used by different research communities. Tools such as air sampling networks, inverse numerical methods, and satellite data allow us to study the strength and location of the global- and continental-scale carbon sources and sinks. Bottom-up studies provide estimates of carbon fluxes at finer spatial scales and examine the mechanisms that control fluxes at the ecosystem, landscape, and regional scales. Bottom-up approaches include comparative and process studies that provide the necessary mechanistic information to develop and validate terrestrial biospheric models. An iteration and reiteration of top-down and bottom-up approaches will be necessary to help constrain measurements at various scales. We propose a major international effort to coordinate and lead research programs of global scope of the carbon cycle. (shrink)

This paper is concerned with the construction of theories of software systems yielding adequate predictions of their target systems’ computations. It is first argued that mathematical theories of programs are not able to provide predictions that are consistent with observed executions. Empirical theories of software systems are here introduced semantically, in terms of a hierarchy of computational models that are supplied by formal methods and testing techniques in computer science. Both deductive top-down and inductive bottom-up approaches in the (...) discovery of semantic software theories are refused to argue in favour of the abductive process of hypothesising and refining models at each level in the hierarchy, until they become satisfactorily predictive. Empirical theories of computational systems are required to be modular, as modular are most software verification and testing activities. We argue that logic relations must be thereby defined among models representing different modules in a semantic theory of a modular software system. We exclude that scientific structuralism is able to define module relations needed in software modular theories. The algebraic Theory of Institutions is finally introduced to specify the logic structure of modular semantic theories of computational systems. (shrink)

What is the role of consciousness in nature? The science of consciousness has largely neglected the question through its emphasis on human experience. In this précis of A Philosophy for the Science of Animal Consciousness, I outline how we can move from a top-down approach that begins with investigations in humans to an evolutionary bottom-up approach that targets the adaptive origins of even the most minimal forms of subjective experience. I will also offer an introduction to (...) the central thesis of the book, i.e. the pathological complexity thesis, according to which consciousness evolved in order to enable animals to adaptively respond to their life history challenges. (shrink)

Some simulationists have argued that the information obtained during the perceptual process of facial expression (the geometric features) is sufficient for recognition of the emotion intended by that expression. Drawing on evidence from cross-cultural studies, with particular attention to conceptual act theories, I show that both emotion expression and recognition are top-down modulated by expressivity norms, observer-specific internal representations, and expectations. I thus conclude that direct simulation, or a purely bottom-up approach, is not sufficient for emotion recognition. (...) Next, I will consider the generate and test strategy as an alternative to direct simulation. This is a highly promising approach in that top-down and bottom-up processes work in parallel, according to the presence, or not, of additional information. For this reason, it avoids the difficulties of direct simulation. I will argue, however, that it is based on a misconception of emotions, specifically on how emotions are represented in the brain. To improve the model, I distinguish between two different categorical approaches to emotions, then argue that only one of which is viable in a simulational account of emotion recognition. (shrink)

Depue & Morrone-Strupinsky (D&M-S) have elaborated a detailed description of the motivational system for affiliation and its neurological basis. This “bottom-up” approach, based almost entirely on studies of nonhuman species, fails to connect with personality differences at the human level. A “top-down” approach looks for common biological markers in human and nonhuman species and relates these to behavior in both.

Several thinkers have expressed the view that the central nostrums of neoliberalism, including self-reliance, personal responsibility and individual risk, have become part of the “common sense” fabric of everyday life. My paper argues that Erich Fromm’s idea of social character offers a comprehensive and persuasive answer to this question. While some have sought the answer to this conundrum in Foucault’s notion of governmentality, I argue that, by itself, this answer is not sufficient. What is significant about the notion of social (...) character, I claim, is that it manages to unify “top-down” approaches like governmentality focused on ideas and policy, with “bottom-up” approaches focused on how the insights of day to day experience are mediated through culture. Adapting this theory to neoliberalism, I argue, means that the “common sense” nature of neoliberalism, and the lack of a reckoning for its massive economic failure, are explicable through the formation of a neoliberal social character, by means of which experiential processes align with cultural meanings and, subsequently, fuse with social expectations. (shrink)

How can we investigate the foundations of consciousness? In addressing this question, we will focus on the two main strategies that authors have adopted so far. On the one hand, there is research aimed at characterizing a specific content, which should account for conscious states. We may call this the content approach. On the other hand, one finds the processing approach, which proposes to look for a particular way of processing to account for consciousness.. Our aim, in this (...) paper, is to develop arguments for the latter approach. We focus on a criticism of Jesse Prinz’s AIR theory of consciousness. We have chosen Prinz’s theory because it incorporates features of both the content and processing approaches, and discussing it will therefore allow us to compare the advantages and downsides of both. Our argument will focus in particular on the notion of intermediate-level. We will discuss how Prinz characterizes the intermediate-level according to a content approach, and argue that such a characterization is inadequate. Finally, we will argue in favor of processing approach to the problem of consciousness, which also accounts for the massive interaction of top-down and bottom-up processes in the brain. Even though consciousness remains an unsolved riddle, we claim that this is the best path towards a solution. (shrink)

PurposeThis paper aims to demonstrate the relevance of worldviews of the global south to debates of artificial intelligence, enhancing the human rights debate on artificial intelligence (AI) and critically reviewing the paper of UNESCO Commission on the Ethics of Scientific Knowledge and Technology (COMEST) that preceded the drafting of the UNESCO guidelines on AI. Different value systems may lead to different choices in programming and application of AI. Programming languages may acerbate existing biases as a people’s worldview is captured in (...) its language. What are the implications for AI when seen from a collective ontology? Ubuntu (I am a person through other persons) starts from collective morals rather than individual ethics.Design/methodology/approachLiterature overview on the African philosophy of Ubuntu as applied to artificial intelligence. Application of it to the United Nations Educational, Scientific and Cultural Organisation (UNESCO) debates on establishing guidelines to the ethics of artificial intelligence.FindingsMetaphysically, Ubuntu and its conception of social personhood (attained during one’s life) largely rejects transhumanism. When confronted with economic choices, Ubuntu favors sharing above competition and thus an anticapitalist logic of equitable distribution of AI benefits, humaneness and nonexploitation. When confronted with issues of privacy, Ubuntu emphasizes transparency to group members, rather than individual privacy, yet it calls for stronger (group privacy) protection. In democratic terms, it promotes consensus decision-making over representative democracy. Certain applications of AI may be more controversial in Africa than in other parts of the world, like care for the elderly, that deserve the utmost respect and attention, and which builds moral personhood. At the same time, AI may be helpful, as care from the home and community is encouraged from an Ubuntu perspective. The report on AI and ethics of the UNESCO World COMEST formulated principles as input, which are analyzed from the African ontological point of view. COMEST departs from “universal” concepts of individual human rights, sustainability and good governance which are not necessarily fully compatible with relatedness, including future and past generations. Next to rules based approaches, which may hamper diversity, bottom-up approaches are needed with intercultural deep learning algorithms.Research limitations/implicationsThere is very few existing literature on AI and Ubuntu. Therefore, this paper is of an explorative nature.Practical implicationsThe ethics of Ubuntu offers unique vantage points in looking at the organization of society and economics today, which are also relevant for development of AI, especially in its tenet of relatedness rather than individuality (and practical use of AI for individuals), taking responsibility for society as a whole (such as analyzing the benefit of AI for all strata of society), and embodying true inclusiveness. Whether looking at top-down guidelines for the development and implementation of AI or the bottom-up ethical learning process of AI (deep learning), ethics of the Global South can have an important role to play to combat global individualist tendencies and inequity, likely reinforced by AI. This warrants far more research.Social implicationsApplications of AI in Africa are not contextualized, do not address the most pressing needs of the African continent, lead to cybersecurity issues and also do not incorporate African ethics. UNESCO’s work in this regard is important but expert inputs are largely centered around Western “universal” principles and Organisation for Economic Cooperation and Development and EU precedence. African ethics have, so far, a small role to play in global ethics and philosophy and therefore risk to be overlooked in the discussion on AI and ethics. This is why the consultation process of UNESCO on ethics of AI was of paramount importance. However, it does not automatically lead to consultation of African philosophers or sages, as many are educated in Western (ized) education systems. See further details under practical implications.Originality/valueThis is a new area of research in which little work has been done so far. This paper offers the opportunity to widen the debate on AI and ethics beyond the conventional discourse, involving multiple worldviews, of which Ubuntu is just one. (shrink)

First introduced in 2015, Contributor Role Ontologies and Taxonomies (CROTs) are the most recent innovation developed to address ethical issues of scholarly authorship. By providing a standard list of roles to specify individual contributions to publications, CROTs enhance transparency and consistency about the reporting of conducted tasks, and accordingly, improve the attribution of credit and responsibilities. Although various parties such as academic journals and universities are increasingly adopting CROTs, thus far no study has evaluated them from an ethical perspective. To (...) fill this gap, this study develops an assessment instrument and subsequently analyses three major CROTs including CRediT, CRO and TaDiRAH, and provides recommendations for improving them from an ethical perspective. This study uses a bottom-up approach comprised of two literature reviews, combined with a review of non-conventional sources (i.e., forums, meeting notes, digital repositories) to collate concerns about authorship and use of CROTs, and generate candidate assessment criteria. Then with a top-down approach and using David Resnik’s 12 principles of research ethics, developed candidate assessment criteria are further analysed, and an assessment instrument consisting of 25 justified criteria is compiled. This instrument is used to identify the ethical strengths and weaknesses of CRediT, CRO and TaDiRAH. Finally, using current best practices and available technology in publication processes, recommendations are provided for further development and improvement of CROTs. Results show that CRediT satisfies more criteria than other CROTs. In relation to the attribution of credit and usability, CRediT provides unique options. However, unlike TaDiRAH that is translated into languages other than English, and CRO that has revised its roles, CRediT is only available in English and has not been updated yet. Improving CROTs benefits almost all parties involved in the development, production, or use of academic publications such as researchers, journal editors, librarians, hiring and promotion committees and funders. (shrink)

What marks ours as the "post-epistemic era" is that it refuses to confer any special privilege on knowledge production as a social practice: whatever normative strictures apply to social practices in general, they apply specifically to epistemic practices as well. I trace how we have reached this state by distinguishing two conceptions of normativity in the history of epistemology: a top-down approach epitomized by Kant and Bentham, and a bottom-up approach associated with the Scottish Enlightenment. The (...) advantage of the latter is that it clearly distinguishes the emergence of norms from the conditions of their maintenance. I then show how more recent evolutionary epistemology has, in a pejorative way, "naturalized" socially constructed norms of cognitive competence, whereas the logical positivists — long the bane of "progressive" epistemologists — recognized the fully artificial character of epistemic norms and hence qualify as the first social epistemologists. (shrink)

Citizen participation today needs to be understood as both an empowerment practice to create urban futures as well as the perpetuation of entrepreneurial and neoliberal modes of planning. The exponential progress of technologies and the digitalisation of everyday life have led to a surge of innovation. Since hybridity has become a key factor, citizen participation now involves citizens and governments meeting online and offline in a multi-stakeholder setting to plan the city in parallel layers, often according to controversial or even (...) contradictory logic (Horelli et al., 2015). As digital citizen participation opens up new tools and means to mobilise people and shape urban futures, this chapter analyses these new aspects through the categories of top-down/bottom-up participation as well as formal/informal practices. Using four case studies comparatively, our aim with this chapter is to find a new theoretical basis and contextualisation for digital citizen participation. The case studies are situated across Europe and North America: we study participatory budgeting in Helsinki, digitalising citizen participation in Lubbock, Texas, the National Map of Security Threats in Poland, and digital placemaking by a grassroots movement in an urban planning participation process in Zürich, Switzerland. The findings of the article show that (1) digital citizen participation fosters novel multi-actor networks negotiating governance of the urban space, (2) studies of citizen participation need to acknowledge the multi-layered hybridity and (3) new modes of governance enable novel senses of informality in participation. (shrink)

When modelling complex systems one can not include all the causal factors, but one has to settle for partial models. This is alright if the factors left out are either so constant that they can be ignored or one is able to recognise the circumstances when they will be such that the partial model applies. The transference of knowledge from the point of application to the point of learning utilises a combination of recognition and inference ­ a simple model of (...) the important features is learnt and later situations where inferences can be drawn from the model are recognised. Context is an abstraction of the collection of background features that are later recognised. Different heuristics for recognition and model formulation will be effective for different learning tasks. Each of these will lead to a different type of context. Given this, there are (at least) two ways of modelling context: one can either attempt to investigate the contexts that arise out of the heuristics that a particular agent actually applies (the `internal' approach); or (if this is feasible) one can attempt to model context using the external source of regularity that the heuristics exploit. There are also two basic methodologies for the investigation of context: a top-down (or `foundationalist') approach where one tries to lay down general, a priori principles and a bottom-up (or `scientific') approach where one can try and find what sorts of context arise by experiment and simulation. A simulation is exhibited which is designed to illustrate the practicality of the bottom-up approach in elucidating the sorts of internal context that arise in an artificial agent which is attempting to learn simple models of a complex environment. It ends with a plea for the cooperation of the AI and Machine Learning communities as both learning and inference is needed if context is to make complete sense. (shrink)

The aim of the present investigation is to sketch a new approach to analysing normativity. First I locate the problem of normativity in the landscape of contemporary philosophy and focus on the dispute between naturalism and antinaturalism. Then I discuss the so-called top-down approach to studying normativity, to which I oppose the bottom-up approach inspired by contemporary philosophy of science. I see the integration of these approaches as enabling investigations of normative phenomena that do not (...) reduce them to just one type of normativity. (shrink)