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.

It seems that I often say things that might mistakenly be thought to identify me as an adherent of the radical neuron doctrine. I take the opportunity to explain my position more clearly and argue that many apparent conflations of the radical and trivial neuron doctrines are merely the result of misunderstanding what is meant when neuroscientists talk about the relations between different levels of description. It follows that there may be considerably fewer followers of the radical doctrine than Gold (...) & Stoljar suggest. (shrink)

Modularity in the human brain remains a controversial issue, with disagreement over the nature of the modules that exist, and why, when, and how they emerge. It is a natural assumption that modularity offers some form of computational advantage, and hence evolution by natural selection has translated those advantages into the kind of modular neural structures familiar to cognitive scientists. However, simulations of the evolution of simplified neural systems have shown that, in many cases, it is actually non-modular architectures that (...) are most efficient. In this paper, the relevant issues are discussed and a series of simulations are presented that reveal crucial dependencies on the details of the learning algorithms and tasks that are being modelled, and the importance of taking into account known physical brain constraints, such as the degree of neural connectivity. A pattern is established which provides one explanation of why modularity should emerge reliably across a range of neural processing tasks. (shrink)

I suggest that the difficulties inherent in discovering the hidden regularities in realistic (type-2) problems can often be resolved by learning algorithms employing simple constraints (such as symmetry and the importance of local information) that are natural from an evolutionary point of view. Neither “heavy-duty nativism” nor “representational recoding” appear to offer totally appropriate descriptions of such natural learning processes.

"The world's leading expert on the unconscious mind reveals the hidden mental processes that secretly govern every aspect of our behavior. For more than three decades, Dr. John Bargh has been conducting revolutionary research into the unconscious mind--not Freud's dark, malevolent unconscious but the new unconscious, a helpful and powerful part of the mind that we can access and understand through experimental science. Now Dr. Bargh presents an engaging and enlightening tour of the influential psychological forces that are at (...) work as we go about our daily lives--checking a dating app, holding a cup of hot coffee, or getting a flu shot. Dr. Bargh takes you into his labs at New York University and Yale where his ingenious experiments have shown how the unconscious guides our actions, goals and motivations in areas like race relations, parenting, business, consumer behavior, and addiction. He reveals the pervasive influence of the unconscious mind on who we choose to date or vote for, what we buy, where we live, how we perform on tests and in job interviews, and much more. Before You Know It is full of surprising and entertaining revelations as well as tricks to help you remember to-do items, shop smarter, and sleep better. Before You Know It will profoundly change the way you understand yourself by introducing you to a fascinating world only recently discovered, the world that exists below the surface of your awareness and yet is the key to unlocking new ways of thinking, feeling and behaving."--Jacket. (shrink)

The notion of Simulative Reasoning in the study of propositional attitudes within Artificial Intelligence (AI) is strongly related to the Simulation Theory of mental ascription in Philosophy. Roughly speaking, when an AI system engages in Simulative Reasoning about a target agent, it reasons with that agent’s beliefs as temporary hypotheses of its own, thereby coming to conclusions about what the agent might conclude or might have concluded. The contrast is with non-simulative meta-reasoning, where the AI system reasons within a detailed (...) theory about the agent’s (conjectured) reasoning acts. The motive within AI for preferring Simulative Reasoning is that it is more convenient and efficient, because of a simplification of the representations and reasoning processes. The chapter discusses this advantage in detail. It also sketches the use of Simulative Reasoning in an AI natural language processing system, ATT-Meta, that is currently being implemented. This system is directed at the understanding of propositional attitude reports. In ATT-Meta, Simulative Reasoning is yoked to a somewhat independent set of ideas about how attitude reports should be treated. Central here are the claims that (a) speakers often employ commonsense (and largely metaphorical) models of mind in describing agents’ attitudes, (b) the listener accordingly needs often to reason within the terms of such models, rather than on the basis of any objectively justifiable characterization of the mind, and (c) the commonsense models filter the suggestions that Simulative Reasoning comes up with concerning target agents’ reasoning conclusions. There is a yet tighter connection between the commonsense models and the Simulative Reasoning. It turns out that Simulative Reasoning can be rationally reconstructed in terms of a more general type of reasoning about the possibly-counterfactual “world” that the target agent believes in, together with an assumption that that agent has a faithful representation of the world. In the ATT-Meta approach, the reasoner adopts that assumption when it views the target agent through a particular commonsense model (called IDEAS-AS-MODELS). (shrink)

Written as companion texts, the Bendō 弁道 and the Benmei 弁名 present Ogyū Sorai’s most mature and comprehensive expression of his philosophical thought. Sorai modestly spoke of the texts in a letter to a student, Uno Shirō 宇野士朗, calling them “my humble achievements”. In another letter to a student, Yamagata Shūnan 山県周南, Sorai related that after a prolonged bout with ill-health, he feared passing like the morning dew. Therefore, he took up his writing brush and completed the two works. Sorai (...) added that while more than a millennium had passed since Confucius’ death, the Way had only been clarified in recent times. Yet rather than boast of this, Sorai suggested that his hand in the process had been by heaven’s decree. With the two works, he added that even if he passed away soon, his life would not have been wasted. (shrink)

This paper explores Ogyū Sorai’s 荻生徂徠 thinking on the most sensational and controversial incident of eighteenth-century Japan, and perhaps the most well-known in all Japanese history, the forty-seven rōnin incident of 1701–1703. Viewed in relation to his lifework, Sorai’s views on the incident are significant insofar as they reveal the extent to which his philosophical thinking was occasionally shaped decisively by neither ancient Chinese nor later Confucian texts, Neo- or otherwise, but instead by formative life-experiences he had as a youth (...) living in exile. No doubt, Confucian and Neo-Confucian notions, which Sorai knew in-depth, helped him filter, epistemologically, events, issues, and most importantly what he understood to be righteous and just behaviour in a polity. Yet ironically enough, Sorai’s thinking on the rōnin incident shows that however philosophically erudite, cosmopolitan, and urbane he was as an intellectual, his appraisals of things sometimes harked back to rural experiences he had early on with some of the most primitive and foundational expressions of human agency, civilization, and socio-political ethics in early-eighteenth century Japan. In the process, Sorai’s essay reveals, through its later resonance with some Meiji thought, how his views on those same primitive expressions remained relevant even in modern contexts. (shrink)

On the life and philosophy of Ramana Maharshi and his views on Advaita and epistemology.

[Edited from Conclusion section:] We have looked at various challenging issues to do with getting connectionism to cope with high-level cognitive activities such a reasoning and natural language understanding. The issues are to do with various facets of generalization that are not commonly noted. We have been concerned in particular with the special forms these issues take in the arena of propositional attitude processing. The main problems we have looked at are: (1) The need to construct explicit representations of generalizations, (...) not just generalize correctly to individual cases; (2) The need to be able to match two or more complex short-term information structures, to enable rapid generalization from recent examples rather than from long-term memories; (3) The need to represent and reason with anomalous combinations of concepts; (4) The need to perform embedded reasoning. This presents special problems for systems using non-concatenative representations (as in mainstream connectionist approaches). We also touched on vague quantification in attitude report complements. Neither this topic nor that of analogies between short-term structures (point 2) has been adequately addressed in the symbolic framework, let alone in connectionism. -/- The opportunities and problems covered are put forward as things worth being optimistic about or pessimistic about, respectively. They are not put forward as decisive arguments for or against connectionism. The hope is that this chapter contributes to a greater understanding of the connectionist/symbolist gap by presenting some unusual issues and by throwing new light on some well known ones. (shrink)

This unique book applies concepts from the field of anthropology to clinical settings to result in a powerful and dynamic model/theory of clinical anthropology.

Closure is the epistemological thesis that if S knows that P and knows that P implies Q, then if S infers that Q, S knows that Q. Fred Dretske acknowledges that closure is plausible but contends that it should be rejected because it conflicts with the plausible thesis: Conclusive reasons (CR): S knows that P only if S believes P on the basis of conclusive reasons, i.e., reasons S wouldn‘t have if it weren‘t the case that P. Dretske develops an (...) analysis of knowing that centers on CR, and argues that the requirement undermines skepticism by implying the falsity of closure. We develop a Dretske-style analysis of knowing that incorporates CR, and we argue that this analysis not only accords with closure, but also implies it. In addition, we argue that the analysis accounts for the prima facie plausibility of closure-invoking skeptical arguments, and nonetheless implies that they are fallacious. If our arguments turn out to be sound, the acceptability of Dretske‘s analysis of knowing will be significantly enhanced by the fact that, despite implying closure, it undermines closure-based skepticism. (shrink)

GUM is a linguistically-motivated ontology originally developed to support natural language processing systems by offering a level of representation intermediate between linguistic forms and domain knowledge. Whereas modeling decisions for individual domains may need to be responsive to domain-specific criteria, a linguistically-motivated ontology offers a characterization that generalizes across domains because its design criteria are derived independently both of domain and of application. With respect to this mediating role, the use of GUM resembles the adoption of upper ontologies as tools (...) for mediating across domains and for supporting domain modeling. This paper briefly introduces the ontology, setting out its origins, design principles and applications. The example cases for this special issue are then described, illustrating particularly some of the principal differences and similarities of GUM to non-linguistically motivated upper ontologies. (shrink)

This volume is a state-of-the-art review of the evidence and theory supporting the existence and significance of automatic processes in our daily lives, with chapters by the leading researchers in this field today.

How, if at all, consciousness can be part of the physical universe remains a baffling problem. This article outlines a new, developing philosophical theory of how it could do so, and offers a preliminary mathematical formulation of a physical grounding for key aspects of the theory. Because the philosophical side has radical elements, so does the physical-theory side. The philosophical side is radical, first, in proposing that the productivity or dynamism in the universe that many believe to be responsible for (...) its systematic regularities is actually itself a physical constituent of the universe, along with more familiar entities. Indeed, it proposes that instances of dynamism can themselves take part in physical interactions with other entities, this interaction then being “meta-dynamism” (a type of meta-causation). Secondly, the theory is radical, and unique, in arguing that consciousness is necessarily partly constituted of meta-dynamic auto-sensitivity, in other words it must react via meta-dynamism to its own dynamism, and also in conjecturing that some specific form of this sensitivity is sufficient for and indeed constitutive of consciousness. The article proposes a way for physical laws to be modified to accommodate meta-dynamism, via the radical step of including elements that explicitly refer to dynamism itself. Additionally, laws become, explicitly, temporally non-local in referring directly to quantity values holding at times prior to a given instant of application of the law. The approach therefore implicitly brings in considerations about what information determines states. Because of the temporal non-locality, and also because of the deep connections between dynamism and time-flow, the approach also implicitly connects to the topic of entropy insofar as this is related to time. (shrink)

Analysing film. Distinguishing the filmic contribution to meaning -- Examples of filmic "textual organisation" -- Redrawing boundaries -- Organisation of the book -- Semiotics and documents. Semiotics and its relations to film -- The nature of discourse semantics -- The film as cinematographic document -- A combined view: filmic documents for filmic discourse -- Constructing the semiotic mode of film. Semiotic multimodality -- The internal organisation of semiotic strata -- Composing and combining semiotic modes -- Materiality and "epistemological commitment" -- (...) Christian Metz and the grande syntagmatique of the image track. The original model -- Two examples of analysis with the grande syntagmatique -- Revisions and rebuttals -- Foundations for analysis: filmic units. The basic units of film: preliminaries -- Audiovisual iconic representations -- Perception, perceptual realism and reliable measurement -- Multiplicity: from perception to discourse -- Filmic units revisited: discourse-motivated definitions -- The paradigmatic organisation of film. Beyond Metz: towards a grande paradigmatique -- Capturing discourse dependency structures in film -- The paradigmatic dimensions of projection, taxis and plane -- Two examples of paradigmatic analysis -- Summary and conclusions. (shrink)

The representation of propositional attitudes (beliefs, desires, etc.) and the analysis of natural-language, propositional-attitude reports presents difficult problems for cognitive science and artificial intelligence. In particular, various representational approaches to attitudes involve the incorrect “imputation,” to cognitive agents, of the use of artificial theory-laden notions. Interesting cases of this problem are shown to occur in several approaches to attitudes. The imputation problem is shown to arise from the way that representational approaches explicate properties and relationships, and in particular from the (...) way they explicate propositional attitudes themselves. Another factor contributing to imputation is the compositional nature of typical semantic approaches to propositional-attitude reports. Some strategies for avoiding undesirable imputation are examined. One of the main conclusions is that the importance of imputations that arise in a representation scheme depends strongly on the use to which the scheme is put -- on whether, for instance, the scheme is used as part of a formal, objective account of natural language, or is used rather as a representational tool within an agent. (shrink)

This volume provides an exposition of the key concept of avidya maya as set forth by advaitins and as criticized by Visistadvaitins. the philosophical conflicts ...

It is inevitable that some inmates in large state prison systems will suffer from terminal conditions and die while incarcerated. But how those inmates experience that event is primarily controlled by correctional policies and by the prison medical and correctional staff assigned to their care. Compassion for inmates who are dying cannot be legislated or mandated, but humane and compassionate care for the dying can be facilitated or thwarted by legislative and correctional policies, and by the manner in which correctional (...) personnel interpret those policies.Death in New York State prisons is a frequent event, occurring at a rate substantially higher than that in most other states. With a prison population that has risen to 70,000 inmates and with the nation’s highest rate of human immunodeficiency virus infection, more than 2,817 inmates died in New York prisons during the period 1990-1998. In April 1992, in the face of an ever-increasing death rate in its prisons, the New York State legislature passed the Medical Parole Law, a measure designed to permit dying inmates to be released on parole prior to their normal release eligibility date. (shrink)

It is inevitable that some inmates in large state prison systems will suffer from terminal conditions and die while incarcerated. But how those inmates experience that event is primarily controlled by correctional policies and by the prison medical and correctional staff assigned to their care. Compassion for inmates who are dying cannot be legislated or mandated, but humane and compassionate care for the dying can be facilitated or thwarted by legislative and correctional policies, and by the manner in which correctional (...) personnel interpret those policies.Death in New York State prisons is a frequent event, occurring at a rate substantially higher than that in most other states. With a prison population that has risen to 70,000 inmates and with the nation’s highest rate of human immunodeficiency virus infection, more than 2,817 inmates died in New York prisons during the period 1990-1998. In April 1992, in the face of an ever-increasing death rate in its prisons, the New York State legislature passed the Medical Parole Law, a measure designed to permit dying inmates to be released on parole prior to their normal release eligibility date. (shrink)

The book is thought-provoking and informative, wide in scope while also being technically detailed, and still relevant to modem AI [at least as of 1998, the time of writing this review, but probably also at the time of posting this entry here, 2023] even though it was published in 1989. This relevance lies mainly in the book’s advocacy of distributed computation at multiple levels of description, its combining of neural networks and other techniques, its emphasis on the interplay between action (...) and perception, and its particular approach to natural language processing. The criticisms I have occasionally made above are relatively minor, and one of the major shortcomings of schema theory at least at the time of the book’s publication -- namely the lack of a detailed, preferably neural, mechanism for schema instantiation -- is one of which Arbib is well aware. The book is well produced, for the most part clearly written, and has useful summaries at the beginning of each chapter. Both general readers and AI researchers (mainly but not exclusively those working on robotics, vision and neural networks) could benefit from reading the book. (shrink)

This chapter argues that scientific and philosophical progress in our understanding of the living world requires that we abandon a metaphysics of things in favour of one centred on processes. We identify three main empirical motivations for adopting a process ontology in biology: metabolic turnover, life cycles, and ecological interdependence. We show how taking a processual stance in the philosophy of biology enables us to ground existing critiques of essentialism, reductionism, and mechanicism, all of which have traditionally been associated with (...) substance ontology. We illustrate the consequences of embracing an ontology of processes in biology by considering some of its implications for physiology, genetics, evolution, and medicine. And we attempt to locate the subsequent chapters of the book in relation to the position we defend. (shrink)