Empirically-informed approaches to emotion often construe our emotions as modules: systems hardwired into our brains by evolution and purpose-built to generate certain coordinated patterns of expressive, physiological, behavioural and phenomenological responses. In ‘Against Modularity’ (2008), de Sousa argues that we shouldn’t think of our emotions in terms of a limited number of modules because this conflicts with our aspirations for a life of greater emotional richness. My aim in this paper is to defend de Sousa’s critique of modular emotion taxonomies (...) from some obvious rejoinders, and to develop his positive proposal as to how we might reconcile the evidence for emotional modularity with an attitude of disapproval towards rigid emotion taxonomies. (shrink)

This commentary starts with a simplified Cartesian vector space of the tristimulus theory of color. This vector space is then further simplified so that bitstrings are used to represent the vector space. The Commission Internationale de l'Eclairage (CIE) diagram is shown to follow directly and simply from this vector space. The Berlin & Kay results are shown to agree quite well with the vector space and the two-dimensional version of it, especially if the dimensions are normalized to take into account (...) the sensitivity of the eye to the different wavelengths comprising color. There is asymmetry with respect to the colors and a similar asymmetry in vocalic phonemes; these effects can be explained in terms of physiology. The (in)famous problem of the color channels is given a unified treatment at various levels. An eight-valued color algebra is created, with addition and multiplication corresponding to additive and subtractive blending of colors. Finally, it is shown that the discrete Hamming metric for colors has a natural toroidal topology. (shrink)

The neurosciences are generating new findings regarding genetic and neurobiological aspects of the pathophysiology of mental disorders. Especially, certain genetic risk factors like neuregulin-1 seem to predispose individuals to a psychotic phenotype beyond the limits of traditional classificatory boundaries between organic psychoses in Alzheimer’s disease, bipolar affective disorder and schizophrenia. Little, however, is known about how such genetic risk factors actually confer an increased risk for psychosis in an individual patient. A gap between neuroscientific findings and psychopathological phenomena exists. The (...) main hypothesis how this gap may be bridged is that mental disorders arise as a consequence of dysfunctions of normal mental functions. Modularity may provide a useful conceptual framework in that temporally and/or spatially stable neural circuits subserve certain physiological functions of the human brain, which become the target of pathophysiological effectors. The idea of a modular construction of the human brain is based on neurobiological evidence regarding the columnar architecture of the cerebral cortex, which provides certain elementary analytical functions. Modular dysfunctions may be assessed with methods of experimental psychopathology, in which subsystems of brain functions are tested with standardized experimental psychological techniques (functional psychopathology). The main questions here are how to define a module, and whether the classical neuroscientific definitions can be used to characterize higher integrative functions of the human brain. (shrink)

The increasing number of newborns has stimulated the infant market. In particular, the baby stroller, serving as an important life partner for both babies and parents, has attracted more attention from society. Stroller design and functionality are of vital importance to babies' physiological and psychological health as well as brain development. Therefore, in this paper, we propose a modularization design method for the novel four-wheeled baby stroller based on the KANO model to ensure the mechanical safety and involve more (...) functionalities. Manual control of the baby stroller requires the rapid response of human motor systems in a completely controlled manner, which could be a potential risk. To enhance the safety and stability of the stroller motion, especially in situations where manual control is hard to achieve (e.g., sharp turns), we propose an autonomous motion control scheme based on model predictive control. Both the modularization design and the motion controller are verified in the MATLAB simulation environment through path tracking tasks. The feasibility is validated by the satisfactory experimental results with lateral position error in a reasonable range and good trajectory smoothness. (shrink)

Quartz (2002) argues that some recent findings about the evolution of the brain (Finlay & Darlington, 1995) are inconsistent with evolutionary psychologists’ massive modularity hypothesis. In substance, Quartz contends that since the volume of the neocortex evolved in a concerted manner, natural selection did not act on neocortical systems independently of each other, which is a necessary condition for the massive modularity of our cognition to be true. I argue however that Quartz’s argument fails to undermine the massive modularity (...) hypothesis. (shrink)

We examine Carruthers’ proposal that sentences in logical form serve to create flexibility within central system modularity, enabling the combination of information from different modalities. We discuss evidence from aphasia and the neurobiology of input-output systems. This work suggests that there exists considerable capacity for interdomain cognitive processing without language mediation. Other challenges for a logical form account are noted.

It is proposed that subconscious retro-predictions in conjunction with brain state update cycles are instrumental in the physiological generation of conscious sensations and perceptions, and in all abstract thought. In this paper the hypothesis is supported by conducting a detailed a re-evaluation of the self-referential statements in Set Theory and Formal Logic known as antinomies. This study concludes that the recursive behavior exhibited by abstract enigmas such as "Russell’s Paradox" is analogous to the oscillations typical of bistable perceptual phenomena.

A practical system of reasoning must be both correct and efficient. An efficient system which contains a large body of information can not search for the proof of a conclusion from all information available. Efficiency requires that deduction of the conclusion be carried out in a modular way using only a relatively small and quickly identified subset of the total information. One might assume that data modularity is incompatible with correctness, where a system is correct for a logic L iff (...) it proves exactly what is valid in L. We point out that modularity and correctness are indeed incompatible if the logic in question is classical. On the other hand, the two desiderata are compatible for relevance logic. Furthermore, Horn clause resolution theorem proving is modular (this helps explain its relative efficiency) and the logic for which it is correct is relevance logic not classical logic. (shrink)

This commentary discusses the logic of inferring modularity or the lack of modularity from observed patterns of developmental disorders.

‘Mental processes are brain processes’ is not a logically necessary truth, but nevertheless certain logical conditions must be fulfilled if it is to be a candidate for the role of contingent truth. Not just anything can, conceivably, be contingently identical with anything else: a play cannot be identical with its copies, nor beauty with a beautiful object. The propagation of light may be electromagnetic radiation, but it cannot conceivably be the tri-section of a right-angle. In this paper I (...) shall be concerned with the general question of whether there are any logical barriers to mind-body identification, and I shall approach this via the more particular question of whether the mental processes of persons can conceivably be identical with the physiological processes of brains. It is my contention that identity theorists, by concentrating their attentions upon what were once called the “lower” parts of the soul rather than upon “higher” parts which are more typical of human persons, have paved a logical way for themselves which is artificially straight. (shrink)

Neuroscientists have long sought to study the dynamic activity of the human brain—what's happening in the brain, that is, while people are thinking, feeling, and acting. Ideally, an inside look at brain function would simultaneously and continuously measure the biochemical state of every cell in the central nervous system. While such a miraculous method is science fiction, a century of progress in neuroimaging technologies has made such simultaneous and continuous measurement a plausible fiction. Despite this progress, practitioners (...) of modern neuroimaging struggle with two kinds of limitations: those that attend the particular neuroimaging methods we have today and those that would limit any method of imaging neural activity, no matter how powerful.In this essay, I consider the liabilities and potential of techniques that measure human brain activity. I am concerned here only with methods that measure relevant physiologic states of the central nervous system and relate those measures to particular mental states. I will consider in particular the preeminent method of functional neuroimaging: BOLD fMRI. While there are several practical limits on the biological information that current technologies can measure, these limits—as important as they are—are minor in comparison to the fundamental logical restraints on the conclusions that can be drawn from brain imaging studies. (shrink)

Within a physicalist-mechanistic worldview, in which we cannot be more than intelligent, self-reproducing biomachines or biobots, fundamentals of a new approach to the science of human self-explanation are outlined. Some a priori logical necessities, or determinants, of any biobot’s control system design are recognized. Evolution had to satisfy them, but neuroscience and cognitive science so far do not clearly see these basics. It is concluded that the old part of the brain still contains the genetically fixed drives, responses, (...) and the physiological control. Here is the seat of an ancient somatic self that is not intelligent but is still the active center of our life. The neocortex has evolved to serve the somatic self with intelligence by individually building a virtual model of the external material and social world. This model is used by the somatic self to “pre-play” intended actions and responses to see whether they would satisfy its needs. This schema of global brain function provides the neurological foundation for the ego-id dichotomy in analytic psychology, as well as some critique of it. Following the groundbreaking experiments by Benjamin Libet and John-Dylan Haynes et al. , consciousness is taken as a “theater” that presents what the neural networks already have worked out, and freedom of the will is limited. The explosive growth of culture and civilization began when neocortical power exceeded a certain threshold. This can be taken as a quasi-mutation that projected us into a supra-biological space of existence that is new to natural history. It is not clear whether this event will lead to a positive future for humanity or to doom. Functional religion is seen as a neurosystemic attempt to bring back the earlier natural state. Thus, it can be valuable when cleared of mythological ballast. (shrink)

It is well known that every propositional logic which satisfies certain very natural conditions can be characterized semantically using a multi-valued matrix ([Los and Suszko, 1958; W´ ojcicki, 1988; Urquhart, 2001]). However, there are many important decidable logics whose characteristic matrices necessarily consist of an infinite number of truth values. In such a case it might be quite difficult to find any of these matrices, or to use one when it is found. Even in case a logic does have a (...) finite characteristic matrix it might be difficult to discover this fact, or to find such a matrix. The deep reason for these difficulties is that in an ordinary multi-valued semantics the rules and axioms of a system should be considered as a whole, and there is no method for separately determining the semantic effects of each rule alone. (shrink)

Just as physics determines physically viable movements, the spatial distribution of input excitations allows the cerebellum to choose physiologically viable beams. Cerebellar–motor coherence implies that the ordering and modes of combination of cerebellar beams reflect (1) the way movement invariants are ordered and combined in movement and (2) the way physical principles are integrated in learning to move.

This review is mainly expository. At one place, Following a suggestion of carnap's, It is suggested that advances in brain physiology might enable us to revive the notion of conventional truth.

Good research requires, among other virtues,(i) methods that yield stable experimentalobservations without arbitrary (post hoc)assumptions, (ii) logical interpretations ofthe sources of observations, and (iii) soundinferences to general causal mechanismsexplaining experimental results by placing themin larger explanatory contexts. In TheNew Phrenology , William Uttal examines theresearch tradition of localization, and findsit deficient in all three virtues, whetherbased on lesion studies or on new technologiesfor functional brain imaging. In this paper Iconsider just the arguments concerning brainimaging, especially functional MagneticResonance Imaging. (...) I think that Uttal is tooharsh in his methodological critique, butcorrect in his assessment of the conceptuallimitations of localist evidence. I proposeinstead a data-driven test for assessingrelative modularity in brain images, and showits use in a secondary analysis of fMRI datafrom the National fMRI Data Center(www.fmridc.org). Although the analysis is alimited pilot study, it offers additionalempirical challenge to localism. (shrink)

In this paper, I define tacit knowledge as a kind of causal-explanatory structure, mirroring the derivational structure in the theory that is tacitly known. On this definition, tacit knowledge does not have to be explicitly represented. I then take the notion of a modular theory, and project the idea of modularity to several different levels of description: in particular, to the processing level and the neurophysiological level. The fundamental description of a connectionist network lies at a level between the processing (...) level and the physiological level. At this level, connectionism involves a characteristic departure from modularity, and a correlative absence of syntactic structure. This is linked to the fact that tacit knowledge descriptions of networks are only approximately true. A consequence is that strict causal systematicity in cognitive processes poses a problem for the connectionist programme. (shrink)

We obtain, for the first time, a modular many-valued semantics for combined logics, which is built directly from many-valued semantics for the logics being combined, by means of suitable universal operations over partial non-deterministic logical matrices. Our constructions preserve finite-valuedness in the context of multiple-conclusion logics, whereas, unsurprisingly, it may be lost in the context of single-conclusion logics. Besides illustrating our constructions over a wide range of examples, we also develop concrete applications of our semantic characterizations, namely regarding the (...) semantics of strengthening a given many-valued logic with additional axioms, the study of conditions under which a given logic may be seen as a combination of simpler syntactically defined fragments whose calculi can be obtained independently and put together to form a calculus for the whole logic, and also general conditions for decidability to be preserved by the combination mechanism. (shrink)

Robert Brain traces the origins of artistic modernism to specific technologies of perception developed in late-nineteenth-century laboratories. Brain argues that the thriving fin-de-siècle field of “physiological aesthetics,” which sought physiological explanations for the capacity to appreciate beauty and art, changed the way poets, artists, and musicians worked and brought a dramatic transformation to the idea of art itself.

The claim that the human cognitive system tends to allocate resources to the processing of available inputs according to their expected relevance is at the basis of relevance theory. The main thesis of this chapter is that this allocation can be achieved without computing expected relevance. When an input meets the input condition of a given modular procedure, it gives this procedure some initial level of activation. Input-activated procedures are in competition for the energy resources that would allow them to (...) follow their full course. What determines which of the procedures in competition get sufficient resources to trigger their full operation is the dynamics of their activation. This dynamics depend both on the prior degree of mobilisation of a modular procedure and on the activation that propagates from other active modules. It is quite conceivable also that the mobilisation of some procedures has inhibitory effects on some others. The relevance-theoretic claim is that, at every instant, this dynamics of activation provides rough physiological indicators of expected relevance. The flow of energy in the system is locally regulated by these indicators. As a result, those input-procedure combinations that have the greatest expected relevance are the more likely ones to receive sufficient energy to follow their course. (shrink)

The claim that the human cognitive system tends to allocate resources to the processing of available inputs according to their expected relevance is at the basis of relevance theory. The main thesis of this chapter is that this allocation can be achieved without computing expected relevance. When an input meets the input condition of a given modular procedure, it gives this procedure some initial level of activation. Input-activated procedures are in competition for the energy resources that would allow them to (...) follow their full course. What determines which of the procedures in competition get sufficient resources to trigger their full operation is the dynamics of their activation. This dynamics depend both on the prior degree of mobilisation of a modular procedure and on the activation that propagates from other active modules. It is quite conceivable also that the mobilisation of some procedures has inhibitory effects on some others. The relevance-theoretic claim is that, at every instant, this dynamics of activation provides rough physiological indicators of expected relevance. The flow of energy in the system is locally regulated by these indicators. As a result, those input-procedure combinations that have the greatest expected relevance are the more likely ones to receive sufficient energy to follow their course. (shrink)

This paper develops sequent calculi for several classical modal logics. Utilizing a polymodal translation of the standard modal language, we are able to establish a base system for the minimal classical modal logic E from which we generate extensions in a modular manner. Our systems admit contraction and cut admissibility, and allow a systematic proof-search procedure of formal derivations.

There is a distinction between locality and modularity. These two terms have often been used interchangeably in the target article and commentary. Using this distinction we argue in favor of a modularity. In addition we also argue that both PDP-type networks and box-and-arrow models have their own strengths and pitfalls.

We believe the dichotomy of processes introduced in the target article is highly speculative, because the dichotomy is shaped by the questionable assumption of modularity and the complementary assumption of locality. As a result, the author falls into a line of circular reasoning that biases his analysis of the experimental and neuropsychological data, and weakens the proposed model.

The case for massively modular models of mind -- The architecture of animal minds -- Modules of the human mind -- Modularity and flexibility : the first steps -- Creative cognition in a modular mind -- The cognitive basis of science -- Distinctively human practical reason.

As human–machine teams are being considered for a variety of mixed-initiative tasks, detecting and being responsive to human cognitive states, in particular systematic cognitive states, is among the most critical capabilities for artificial systems to ensure smooth interactions with humans and high overall team performance. Various human physiological parameters, such as heart rate, respiration rate, blood pressure, and skin conductance, as well as brain activity inferred from functional near-infrared spectroscopy or electroencephalogram, have been linked to different systemic cognitive states, (...) such as workload, distraction, or mind–wandering among others. Whether these multimodal signals are indeed sufficient to isolate such cognitive states across individuals performing tasks or whether additional contextual information (e.g., about the task state or the task environment) is required for making appropriate inferences remains an important open problem.In this paper, we introduce an experimental and machine learning framework for investigating these questions and focus specifically on using physiological and neurophysiological measurements to learn classifiers associated with systemic cognitive states like cognitive load, distraction, sense of urgency, mind wandering, and interference. Specifically, we describe a multitasking interactive experimental setting used to obtain a comprehensive multimodal data set which provided the foundation for a first evaluation of various standard state-of-the-art machine learning techniques with respect to their effectiveness in inferring systemic cognitive states. While the classification success of these standard methods based on just the physiological and neurophysiological signals across subjects was modest, which is to be expected given the complexity of the classification problem and the possibility that higher accuracy rates might not in general be achievable, the results nevertheless can serve as a baseline for evaluating future efforts to improve classification, especially methods that take contextual aspects such as task and environmental states into account. (shrink)

The method of positron emission tomography illustrates the circular logic popular in subtractive neuroimaging and linear reductive cognitive psychology. Both require that strictly feed-forward, modular, cognitive components exist, before the fact, to justify the inference of particular components from images after the fact. Also, both require a "true" componential theory of cognition and laboratory tasks, before the fact, to guarantee reliable choices for subtractive contrasts. None of these possibilities are likely. Consequently, linear reductive analysis has failed to yield general, reliable, (...) componential accounts. (shrink)

Modules, as Marr and Fodor conceive of them, lie between sensory and central processes. Modules have the functional property of representing that portion of the world which turns them on, and nine non-functional or structural properties that facilitate carrying out that function. Fodor has proposed that the processing of linguistic information is carried out by a language module , which therefore has the functional and structural features of modules. We argue that the proposed LM does not have the functional property (...) of modules in general . And we argue that Fodor's candidate for the output of the LM, interpreted syntactic form, does not satisfy important structural properties of modules . We propose another candidate, speech act potential, and argue that it fits almost all of Fodor's conditions . We next report on some pilot sentence completion studies suggesting that speech act information can influence the course of a parse and hence are a part of the LM . Finally, we outline possible experiments to test the modularity of speech act information by online methods of priming. (shrink)

This text centers around three main subjects. The first is the concept of modularity and independence in classical logic and nonmonotonic and other nonclassical logic, and the consequences on syntactic and semantical interpolation and language change. In particular, we will show the connection between interpolation for nonmonotonic logic and manipulation of an abstract notion of size. Modularity is essentially the ability to put partial results achieved independently together for a global result. The second aspect of the book is the authors' (...) uniform picture of conditionals, including many-valued logics and structures on the language elements themselves and on the truth value set. The third topic explained by the authors is neighbourhood semantics, their connection to independence, and their common points and differences for various logics, e.g., for defaults and deontic logic, for the limit version of preferential logics, and for general approximation"--Publisher. (shrink)

The discovery of participation of astrocytes as active elements in glutamatergic tripartite synapses (composed by functional units of two neurons and one astrocyte) has led to the construction of models of cognitive functioning in the human brain, focusing on associative learning, sensory integration, conscious processing and memory formation/retrieval. We have modelled human cognitive functions by means of an ensemble of functional units (tripartite synapses) connected by gap junctions that link distributed astrocytes, allowing the formation of intra- and intercellular calcium (...) waves that putatively mediate large-scale cognitive information processing. The model contains a diagram of molecular mechanisms present in tripartite synapses and contributes to explain the physiological bases of cognitive functions. It can be potentially expanded to explain emotional functions and psychiatric phenomena. (shrink)

The article discusses the evolutionary development of horror and fear in animals and humans, including in regard to cognition and physiological aspects of the brain. An overview of the social aspects of emotions, including the role that emotions play in interpersonal relations and the role that empathy plays in humans' ethics, is provided. An overview of the psychological aspects of monsters, including humans' simultaneous repulsion and interest in horror films that depict monsters, is also provided.

In the period running roughly from 1810 to 1860, French brain research remained split into two large provinces, each of which provided its own epistemological principles, methodological rules, and theoretical aims for the study of man’s mind. The controversies resulting from this split concerned issues as diverse as the intelligibility of mental processes, the unitary or the modular structure of cerebral activities, the relations holding between organic matter and mental function, the relevance and evidential weight of clinical and of (...) experimental—i.e., physiological—data for the explanation of the brain’s workings, and other similarly troublesome conceptual, ontological, and metaphysical riddles pertaining to something that had not yet been baptized ‘the mind-body problem’. (shrink)

Quantum physics is a linear theory, so it is somewhat puzzling that it can underlie very complex systems such as digital computers and life. This paper investigates how this is possible. Physically, such complex systems are necessarily modular hierarchical structures, with a number of key features. Firstly, they cannot be described by a single wave function: only local wave functions can exist, rather than a single wave function for a living cell, a cat, or a brain. Secondly, the quantum (...) to classical transition is characterised by contextual wave-function collapse shaped by macroscopic elements that can be described classically. Thirdly, downward causation occurs in the physical hierarchy in two key ways: by the downward influence of time dependent constraints, and by creation, modification, or deletion of lower level elements. Fourthly, there are also logical modular hierarchical structures supported by the physical ones, such as algorithms and computer programs, They are able to support arbitrary logical operations, which can influence physical outcomes as in computer aided design and 3-d printing. Finally, complex systems are necessarily open systems, with heat baths playing a key role in their dynamics and providing local arrows of time that agree with the cosmological direction of time that is established by the evolution of the universe. (shrink)

A familiar trope of cognitive science, linguistics, and the philosophy of psychology over the past forty or so years has been the idea of the mind as a modular system-that is, one consisting of functionally specialized subsystems responsible for processing different classes of input, or handling specific cognitive tasks like vision, language, logic, music, and so on. However, one of the major achievements of neuroscience has been the discovery that the brain has incredible powers of renewal and reorganization. This (...) "neuroplasticity," in its various forms, has challenged many of the orthodox conceptions of the mind which originally led cognitive scientists to postulate hardwired mental modules. -/- This book examines how such discoveries have changed the way we think about the structure of the mind. It contends that the mind is more supple than prevailing theories in cognitive science and artificial intelligence acknowledge. The book uses language as a test case. The claim that language is cognitively special has often been understood as the claim that it is underpinned by dedicated-and innate-cognitive mechanisms. Zerilli offers a fresh take on how our linguistic abilities could be domain-general: enabled by a composite of very small and redundant cognitive subsystems, few if any of which are likely to be specialized for language. In arguing for this position, however, the book takes seriously various cases suggesting that language dissociates from other cognitive faculties. -/- Accessibly written, The Adaptable Mind is a fascinating account of neuroplasticity, neural reuse, the modularity of mind, the evolution of language, and faculty psychology. (shrink)

We provide a logical analysis of private international law, a rather esoteric, but increasingly important, domain of the law. Private international law addresses overlaps and conflicts between legal systems by distributing cases between the authorities of such systems (jurisdiction) and establishing what rules these authorities have to apply to each case (choice of law). A formal model of the resulting interactions between legal systems is proposed based on modular argumentation. It is argued that this model may also be useful (...) for governing the interactions between heterogeneous agents, belonging to different and differently regulated virtual societies, without recourse to a central regulatory agency. The model also provides for multiple interpretations concerning rules of private international law as well as substantive rules of the different legal systems. (shrink)

The nature of the human being in general and the existence and nature of the soul in particular has been discussed throughout the history of thought. As a knowing subject, man firstly tried to know himself. While making this questioning, he not only wondered about his phenomenal existence (body), but also about his spiritual identity, which he did not doubt was out there somewhere. This curiosity has created an ongoing scientific journey from anatomy to physiology, from science to philosophy, (...) from medicine to sociology, from biology to neurobiology, from psychology to neuropsychology, from chemistry to neurochemistry. In the end, various human conceptions have been developed in accordance with the scientific and philosophical background of each civilization. The ancient tradition of thought, which is the common accumulation of humanity, has largely included man in a dualist definition. Along with modern science, many devices have been developed to study human beings physically. Numerous data have been reached with the opportunities provided by technology, and these data have provided great usefulness in understanding what aspects a human being has in terms of physics and metaphysics. However, with the increase in our knowledge of the natural world and human, which is a part of it, the perspectives of the period were forced into paradigmatic changes. The philosophical movements that developed and changed in parallel with scientific knowledge, the decline of religion, especially in the Western world, regressed the dominant models in the interpretation of knowledge. Notions of human have inevitably taken their share from this great change. Is the subject behind the actions separate/independent from the body/brain and completely autonomous and rational? Or is it just the body/brain or its functionality, as modern neuroscience suggests? Does this coherent functionality arise entirely or in part from natural causation? Is there an essence or a distinctive feature that makes us human? If so, is this essence/property physical or is it a metaphysical substance? What answers did the early theologians give to these questions? What are the points of overlap between the hypotheses developed mainly on religious knowledge, partly on medical knowledge of the period via largely logical reasoning, and the definitions of human and soul revealed by contemporary experimental science? This line forms the main frame of the article. In summary, this study; It aims to identify the parallels and similarities of approach between the spiritual theories of the early theologians and current scientific data, which we see as two important phases of the ongoing ancient investigation. It is thought that the theories developed in this first period, when the transformation due to the acculturation process is not sufficiently determinative on thought, are more original and valuable. After giving brief information about the definitions of soul, mind, self and consciousness, which are among the basic concepts of the problem, the thoughts of early Mu‘tazilī and Ahl al-Sunnah thinkers on the subject are presented comparatively with current scientific data. We tried to make a healthy descriptive inference by making analytical and semantic arguments on the data obtained during the research. (shrink)

This article addresses whether cardiopulmonary resuscitation and sustained physiological support should ever be permitted in individuals who are diagnosed as brain dead and who had held previously expressed moral or religious objections to the currently accepted criteria for such a determination. It contrasts how requests for care would normally be treated in cases involving a brain-dead individual with previously expressed wishes to donate and a similarly diagnosed individual with previously expressed beliefs that did not conform to a (...) class='Hi'>brain-based conception of death. The paper first focuses narrowly on requests for CPR and then expands its scope to address extended physiological support. It describes how refusing the brain-dead non-donor's requests for either CPR or extended support would represent enduring harm to the antemortem or previously autonomous individual by negating their beliefs and self-identity. The paper subsequently discusses potential implications of policy that would allow greater accommodations to those with conscientious objections to currently accepted brain-based death criteria, such as for cost, insurance, higher brain formulations and bedside communication. The conclusion is that granting wider latitude to personal conceptions around the definition of death, rather than forcing a contested definition on those with valid moral and religious objections, would benefit both individuals and society. (shrink)

Principles of constructivism are used here to explore how organisms develop tools, subagents, scaffolds, signs, and adaptations. Here I discuss reasons why organisms have composite nature and include diverse subagents that interact in partially cooperating and partially conflicting ways. Such modularity is necessary for efficient and robust functionality, including mutual construction and adaptability at various time scales. Subagents interact via material and semiotic relations, some of which force or prescribe actions of partners. Other interactions, which I call “guiding”, do not (...) have immediate effects and do not disrupt the evolution and learning capacity of partner agents. However, they modify the extent of learning and evolutionary possibilities of partners via establishment of scaffolds and constraints. As a result, subagents construct reciprocal scaffolding for each other to rebalance their communal evolution and learning. As an example, I discuss guiding interactions between the body and mind of animals, where the pain system adjusts mind-based learning to the physical and physiological constraints of the body. Reciprocal effects of mind and behaviors on the development and evolution of the body includes the effects of Lamarck and Baldwin. (shrink)

Müller argues that double dissociations do not imply underlying modularity of the cognitive system, citing neural networks as examples of fully distributed systems that can give rise to double dissociations. We challenge this claim, noting that suchdouble dissociations typically do not “scale-up,” and that even some singledissociations can be difficult to account for in a distributed system.

The method of positron emission tomography (PET imaging) illustrates the circular logic popular in subtractive neuroimaging and linear reductive cognitive psychology. Both require that strictly feed-forward, modular, cognitive components exist, before the fact, to justify the inference of particular components from images (or other observables) after the fact. Also, both require a "true" componential theory of cognition and laboratory tasks, before the fact, to guarantee reliable choices for subtractive contrasts. None of these possibilities are likely. Consequently, linear reductive analysis has (...) failed to yield general, reliable, componential accounts. (shrink)

Evolutionary developmental biology (“evo-devo”) may provide insights and new methods for studies of cognition and cultural evolution. For example, I propose using cultural selection and individual learning to examine constraints on cultural evolution. Modularity, the idea that traits vary independently, can facilitate evolution (increase “evolvability”), because evolution can act on one trait without disrupting another. I explore links between cognitive modularity, evolutionary modularity, and cultural evolvability. (Published Online November 9 2006).