Knobe's argument rests on a way of distinguishing performance errors from the competencies that delimit our cognitive architecture. We argue that other sorts of evidence than those that he appeals to are needed to illuminate the boundaries of our folk capacities in ways that would support his conclusions.

Ontic Therapy is briefly defined. I discuss the early context within which the development of Ontic Therapy unfolds and provide the reader some preliminary heuristic tools for engaging in this novel therapy.

Sciences able to identify appropriate analytical units for their domain, their natural kinds, have tended to be more progressive. In the biological sciences, evolutionary natural kinds are adaptations that can be identified by their common history of selection for some function. Human brains are the product of an evolutionary history of selection for component systems which produced behaviours that gave adaptive advantage to their hosts. These structures, behaviour production systems, are the natural kinds that psychology seeks. We argue these can (...) be identified deductively by classing behaviour first according to its level of behavioural control. Early animals in our lineage used only reactive production, Vertebrates evolved motivation, and later Primates developed executive control. Behaviour can also be classified by the type of evolutionary benefit it bestows: it can deliver either immediate benefits (food, gametes), improvements in the individual’s position with respect to the world (resource access, social status), or improvements in the ability to secure future benefits (knowledge, skill). Combining history and function implies the existence of seven types of behaviour production systems in human brains responsible for reflexive, instinctual, exploratory, driven, emotional, playful and planned behaviour. Discovering scientifically valid categories of behaviour can provide a fundamental taxonomy and common language for understanding, predicting and changing behaviour, and a way of discovering the organs in the brain––its natural kinds––that are responsible for behaviour. (shrink)

Scientific inquiry possibly shares with people's ordinary understanding the same evolutionary determinants, and affect-laden intuitions that shape moral judgments also play a decisive role in decision-making, planning, and scientific reasoning. Therefore, if ordinary understanding does differ from scientific inquiry, the reason does not reside in the fact that the former (but not the latter) is endowed with moral considerations.

Mark Changizi et al. (2008) claim that it is possible systematically to organize more than 50 kinds of illusions in a 7 × 4 matrix of 28 classes. This systematization, they further maintain, can be explained by the operation of a single visual processing latency correction mechanism that they call “perceiving the present” (PTP). This brief report raises some concerns about the way a number of illusions are classified by the proposed systematization. It also poses two general problems—one empirical and (...) one conceptual—for the PTP approach. (shrink)

This is the first book to explore the cognitive science of effortless attention and action. Attention and action are generally understood to require effort, and the expectation is that under normal circumstances effort increases to meet rising demand. Sometimes, however, attention and action seem to flow effortlessly despite high demand. Effortless attention and action have been documented across a range of normal activities--from rock climbing to chess playing--and yet fundamental questions about the cognitive science of effortlessness have gone largely unasked. (...) -/- This book draws from the disciplines of cognitive psychology, neurophysiology, behavioral psychology, genetics, philosophy, and cross-cultural studies. Starting from the premise that the phenomena of effortless attention and action provide an opportunity to test current models of attention and action, leading researchers from around the world examine topics including effort as a cognitive resource, the role of effort in decision making, the neurophysiology of effortless attention and action, the role of automaticity in effortless action, expert performance in effortless action, and the neurophysiology and benefits of attentional training. -/- Contributors: Joshua M. Ackerman, James H. Austin, John A. Bargh, Roy F. Baumeister, Sian L. Beilock, Chris Blais, Matthew M. Botvinick, Brian Bruya, Mihaly Csikszentmihalyi, Marci S. DeCaro, Arne Dietrich, Yuri Dormashev, László Harmat, Bernhard Hommel, Rebecca Lewthwaite, Örjan de Manzano, Joseph T. McGuire, Brian P. Meier, Arlen C. Moller, Jeanne Nakamura, Evgeny N. Osin, Michael I. Posner, Mary K. Rothbart, M. R. Rueda, Brandon J. Schmeichel, Edward Slingerland, Oliver Stoll, Yiyuan Tang, Töres Theorell, Fredrik Ullén, Robert D. Wall, Gabriele Wulf. (shrink)

Because psychological studies of attention and cognition are most commonly performed within the strict confines of the laboratory or take cognitively impaired patients as subjects, it is difficult to be sure that resultant models of attention adequately account for the phenomenon of effortless attention. The problem is not only that effortless attention is resistant to laboratory study. A further issue is that because the laboratory is the most common way to approach attention, models resulting from such studies are naturally the (...) most widely propagated, these models naturally tend to be biased toward features of attention most amenable to laboratory study, and these models by their implications set the agenda for future study that leads back to the laboratory. In this self-reinforcing system, features of attention not amenable to laboratory study are naturally neglected by researchers. In this chapter, I suggest an alternative model of attention as a heuristic for opening paths to further profitable research. The features of attention emphasized in this model are not new, but the synthesis is novel and sheds some light on issues relevant to the topic of effortless attention. I begin with the five following observations: -/- 1. One naturally pays attention to a task of current interest. 2. There are (at least) two distinct modes of attention—selective and diffuse. 3. Attention is a constantly shifting avenue for the assimilation of information. 4. Information is not forced in from outside but is captured through internal sensitization. 5. Human information processing is fundamentally syntactic. -/- Combining these five observations yields an explanatory model of attention that is not only consistent with the data from the many studies on attention in recent decades but also allows us to investigate the neglected phenomenon of effortless attention. The model relies on the notions of apertures, draw, and syntax and is explicated by addressing each of the above observations in turn. In the final part of the chapter, I explore how the model expands our understanding of effortless attention. (shrink)

In this Introduction, I identify seven discrete aspects of attention brought to the fore by by considering the phenomenon of effortless attention: effort, decision-making, action syntax, agency, automaticity, expertise, and mental training. For each, I provide an overview of recent research, identify challenges to or gaps in current attention theory with respect to it, consider how attention theory can be advanced by including current research, and explain how relevant chapters of this volume offer such advances.

A critique of inferences from 'is' to 'ought' plays a central role in Elqayam and Evans' defense of descriptivism. However, the reflective equilibrium strategy described by Goodman and embraced by Rawls, Cohen and many others poses an important challenge to that critique. Dual system theories may help respond to that challenge.

David Hume endorses three claims that are difficult to reconcile: (1) sympathy with those in distress is sufficient to produce compassion towards their plight, (2) adopting the general point of view often requires us to sympathize with the pain and suffering of distant strangers, but (3) our care and concern is limited to those in our close circle. Hume manages to resolve this tension, however, by distinguishing two types of sympathy. We feel compassion towards those around us because associative sympathy (...) causes us to mirror their pain and suffering, but our ability to enter into the afflictions of those remote from us involves cognitive sympathy and merely requires us to reflect upon how we would feel in their shoes. This hybrid theory of sympathy receives support from recent work on affective mirroring and cognitive pretense. Hume’s account should appeal to contemporary researchers, therefore, who are interested in the nature of moral imagination. (shrink)

It is commonly thought that Hume endorses the claim that causal cognition can be fully explained in terms of nothing but custom and habit. Associative learning does, of course, play a major role in the cognitive psychology of the Treatise. But Hume recognizes that associations cannot provide a complete account of causal thought. If human beings lacked the capacity to reflect on rules for judging causes and effects, then we could not (as we do) distinguish between accidental and genuine regularities, (...) and Hume could not (as he does) carry out his science of human nature. One might reply that what appears to be rule-governed behavior might emerge from associative systems that do not literally employ rules. But this response fails: there is a growing consensus in cognitive science that any adequate account of causal learning must invoke active, controlled cognitive processes. (shrink)

We must rethink our assessment of Hume’s theory of probabilistic inference. Hume scholars have traditionally dismissed his naturalistic explanation of how we make inferences under conditions of uncertainty; however, psychological experiments and computer models from cognitive science provide substantial support for Hume’s account. Hume’s theory of probabilistic inference is far from obsolete or outdated; on the contrary, it stands at the leading edge of our contemporary science of the mind.

In Book I, Part I, Section VII of the Treatise, Hume sets out to settle, once and for all, the early modern controversy over abstract ideas. In order to do so, he tries to accomplish two tasks: (1) he attempts to defend an exemplar-based theory of general language and thought, and (2) he sets out to refute the rival abstraction-based account. This paper examines the successes and failures of these two projects. I argue that Hume manages to articulate a plausible (...) theory of general ideas; indeed, a version of his account has defenders in contemporary cognitive science. But Hume fails to refute the abstraction-based account, and as a result, the early modern controversy ends in a stalemate, with both sides able to explain how we manage to speak and think in general terms. Although Hume fails to settle the controversy, he nevertheless advances it to a point from which we have yet to progress: the contemporary debate over abstract ideas in cognitive science has stalled on precisely this point. (shrink)

We use psychological concepts (e.g., intention and desire) when we ascribe psychological states to others for purposes of describing, explaining, and predicting their actions. Does the evidence reported by Knobe show, as he thinks, that moral evaluation shapes our mastery of psychological concepts? We argue that the evidence so far shows instead that moral evaluation shapes the way we report, not the way we think about, others' psychological states.

The purpose of this paper is to present two kinds of analogical representational change, both occurring early in the analogy-making process, and then, using these two kinds of change, to present a model unifying one sort of analogy-making and categorization. The proposed unification rests on three key claims: (1) a certain type of rapid representational abstraction is crucial to making the relevant analogies (this is the first kind of representational change; a computer model is presented that demonstrates this kind of (...) abstraction), (2) rapid abstractions are induced by retrieval across large psychological distances, and (3) both categorizations and analogies supply understandings of perceptual input via construing, which is a proposed type of categorization (this is the second kind of representational change). It is construing that finalizes the unification. (shrink)

Mostly philosophers cause trouble. I know because on alternate Thursdays I am one -- and I live in a philosophy department where I watch all of them cause trouble. Everyone in artificial intelligence knows how much trouble philosophers can cause (and in particular, we know how much trouble one philosopher -- John Searle -- has caused). And, we know where they tend to cause it: in knowledge representation and the semantics of data structures. This essay is about a recent case (...) of this sort of thing. One of the take-home messages will be that AI ought to redouble its efforts t o understand concepts. (shrink)

A recent issue of Time magazine (March 29, 1999) was devoted to the twenty greatest "thinkers" of the twentieth century -- scientists, inventors, and engineers. There is one interesting omission: there are no cognitive psychologists or cognitive scientists. (Cognitive science is an amalgam of cognitive, neuro, and developmental psychology, artificial intelligence, philosophy, linguistics, biology, and anthropology.) Freud is there, to be sure. But, while he was very influential, it is not even clear that he was a scientist, let alone a (...) cognitive scientist. There are those who regard Freud as somewhere between incompetent and a charlatan (see Glymour, 1988). In any case, though Freud's positive proposal for the mind's architecture -- namely, that it contains the unconscious -- seems correct as far as it goes, it does appear that all the details are wrong. For example: (1) there is a lot more to the mind than the mere unconscious; (2) it is doubtful that there is an id, ego, and superego; (3) most dreams may very likely be meaningless; and (4) human motivation, even unconscious motivation, is about a lot more than sex. In the end, because he was most interested in certain kinds of human mental malfunctioning, Freud is probably best thought of as a physician, a proponent and early explorer of human mental health; he was not an experimental cognitive psychologist. (shrink)

Sometimes analogy researchers talk as if the freshness of an experience of analogy resides solely in seeing that something is like something else -- seeing that the atom is like a solar system, that heat is like flowing water, that paint brushes work like pumps, or that electricity is like a teeming crowd. But analogy is more than this. Analogy isn't just seeing that the atom is like a solar system; rather, it is seeing something new about the atom, an (...) observation enabled by 'looking' at atoms from the perspective of one's understanding of solar systems. The question for analogy researchers then is this: Where does this new knowledge about atoms come from? How can an analogy provide new knowledge and new understanding? (shrink)

Analogical reminding in humans and machines is a great source for chance discoveries because analogical reminding can produce representational change and thereby produce insights. Here, we present a new kind of representational change associated with analogical reminding called packing. We derived the algorithm in part from human data we have on packing. Here, we explain packing and its role in analogy making, and then present a computer model of packing in a micro-domain. We conclude that packing is likely used in (...) human chance discoveries, and is needed if our machines are to make their own chance discoveries. (shrink)

Current theories of social cognition are mainly based on a representationalist view. Moreover, they focus on a rather sophisticated and limited aspect of understanding others, i.e. on how we predict and explain others’ behaviours through representing their mental states. Research into the ‘social brain’ has also favoured a third-person paradigm of social cognition as a passive observation of others’ behaviour, attributing it to an inferential, simulative or projective process in the individual brain. In this paper, we present a concept of (...) social understanding as an ongoing, dynamical process of participatory sense-making and mutual incorporation. This process may be described (1) from a dynamical agentive systems point of view as an interaction and coordination of two embodied agents ; (2) from a phenomenological approach as a mutual incorporation , i.e. a process in which the lived bodies of both participants extend and form a common intercorporality. Intersubjectivity, it is argued, is not a solitary task of deciphering or simulating the movements of others but means entering a process of embodied interaction and generating common meaning through it. This approach will be further illustrated by an analysis of primary dyadic interaction in early childhood. (shrink)

We have found that moral considerations interact with belief ascription in determining intentionality judgment. We attribute this finding to a differential availability of plausible counterfactual alternatives that undo the negative side-effect of an action. We conclude that Knobe's thesis does not account for processes by which counterfactuals are generated and how these processes affect moral evaluations.

Moral judgment – even the type discussed by Knobe – necessarily relies on substantial information about an agent's mental states, especially regarding beliefs and attitudes. Moreover, the effects described by Knobe can be attributed to norm violations in general, rather than moral concerns in particular. Consequently, Knobe's account overstates the influence of moral judgment on assessments of mental states and causality.

Incremental change and innovation are often regarded as two separate concepts, with some interconnections. Based on two practical cases that emphasize respectively incremental change and innovation, the article discusses whether a division between these concepts can be maintained. Action research is seen as having a central role, offering an integral working method in industrial networks.

Scientists are generally more moral, and moralists more scientific, than Knobe suggests. His own experiments show that people, rather than making unscientific judgements about the moral intentions of others, are behaving as good Bayesians who take account of prior knowledge.

Many types of part-whole relations have been proposed in the literature to aid the conceptual modeller to choose the most appropriate type, but many of those relations lack a formal specification to give clear and unambiguous semantics to them. To remedy this, a formal taxonomy of types of mereological and meronymic part-whole relations is presented that distinguishes between transitive and intransitive relations and the kind of entity types that are related. The demand to use it effectively brings afore new requirements (...) for automated reasoning over a hierarchy of relations. To ensure logically and ontologically correct inferencing over both the class and role hierarchy, the new reasoning service RBox compatibility for Description Logics reasoners is introduced. The proposed combination of formal semantics and the new reasoning service will improve the representation of the application domain when using part-whole relations in conceptual models and ontologies. (shrink)

The concept of acting intentionally is an important nexus where ‘theory of mind’ and moral judgment meet. Preschool children’s judgments of intentional action show a valence-driven asymmetry. Children say that a foreseen but disavowed side-effect is brought about 'on purpose' when the side-effect itself is morally bad but not when it is morally good. This is the first demonstration in preschoolers that moral judgment influences judgments of ‘on-purpose’ (as opposed to purpose influencing moral judgment). Judgments of intentional action are usually (...) assumed to be purely factual. That these judgments are sometimes partly normative — even in preschoolers — challenges current understanding. Young children’s judgments regarding foreseen side-effects depend upon whether the children process the idea that the character does not care about the side-effect. As soon as preschoolers effectively process the ‘theory of mind’ concept, NOT CARE THAT P, children show the side-effect effect.idea.. (shrink)

Highlights the roles of intention and intentionality in social cognition.

This volume will be a fascinating resource for philosophers, cognitive scientists, and psychologists, and the starting point for future research in the study of ...

My response addresses general commentary themes such as my neglect of the forebrain contribution to human consciousness, the bearing of blindsight on consciousness theory, the definition of wakefulness, the significance of emotion and pain perception for consciousness theory, and concerns regarding remnant cortex in children with hydranencephaly. Further specific topics, such as phenomenal and phylogenetic aspects of mesodiencephalic-thalamocortical relations, are also discussed. (Published Online May 1 2007).

This essay critically reviews Andy Clark’s new book Supersizing the Mind: Embodiment, Action, and Cognitive Extension, in which he argues that there are circumstances in which the mind, properly considered, is found to supervene on not only the brain, but the body and the external environment as well. This review summarizes Clark’s major contributions to this viewpoint for the general reader, then raises a few critical points that help to contextualize Clark’s claims, aims, and methods, while highlighting the book’s strengths (...) and weaknesses. (shrink)

The primacy of practice in the development of knowledge is one of materialism’s fundamental tenets. Most arguments supporting it have been strictly philosophical. However, over the past thirty years cognitive science has provided mounting evidence supporting the primacy of practice. Particularly striking is its finding that thought is fundamentally metaphoric—that images emerging from everyday embodied activities not only make ordinary experiences intelligible, but also underpin our more abstract engagements with the world, elaborated in disciplines such as ethics and science. Cognitive (...) science’s implications must now be absorbed into critical realism. Cognitive science bolsters critical realism by providing a scientifically-grounded analysis of the passage from body to mind and the fundamental unity between them, while sustaining their distinctiveness. Its implications for critical realism ripple out in four waves: first, critical realism’s understanding of the mind/body relationship; second, its concepts of the process that connects theory and practice, and what that means for critical realism’s view of intellectual production, the place of metaphor in scientific theorization, and cultural development; its view of culture as a complexwhole; and finally, its theory of human agency as embodied and intentional. (shrink)

Does Cantorian set theory alter our intuitive conception of number? Yes. In particular, Cantorian set theory revises our intuitive conception of when two sets have the same size (cardinal number). Consider a variant of Galileo’s Paradox, which notes that the members of the set of natural numbers, N, can be put in one-to-one correspondence with the members of the set of even numbers, E.

Autism spectrum disorder (ASD) is characterised by differences in unimodal and multimodal sensory and proprioceptive processing, with complex biases towards local over global processing. Many of these elements are implicated in versions of the rubber hand illusion (RHI), which were therefore studied in high-functioning individuals with ASD and a typically developing control group. Both groups experienced the illusion. A number of differences were found, related to proprioception and sensorimotor processes. The ASD group showed reduced sensitivity to visuotactile-proprioceptive discrepancy but more (...) accurate proprioception. This group also differed on acceleration in subsequent reach trials. Results are discussed in terms of weak top-down integration and precision-accuracy trade-offs. The RHI appears to be a useful tool for investigating multisensory processing in ASD. (shrink)

Do moral appraisals shape judgments of intentionality? A traditional view is that individuals first evaluate whether an action has been carried out intentionally. Then they use this evaluation as input for their moral judgments. Recent studies, however, have shown that individuals’ moral appraisals can also influence their intentionality attributions. They attribute intentionality to the negative side effect of a given action, but not to the positive side effect of the same action. In three experiments, we show that this asymmetry is (...) a robust effect that critically depends on the agent’s beliefs. The asymmetry is reduced when agents are described as not knowing that their action can bring about side effects, and is eliminated when they are deemed to hold a false belief about the consequences of their actions. These results suggest that both evaluative and epistemic considerations are used in intentionality attribution. (shrink)

Mental probability logic is a psychological competence theory about how humans interpret and reason about common-sense conditionals. Probability logic is proposed as an appropriate standard of reference for evaluating the rationality of human inferences. Common-sense conditionals are interpreted as “high” conditional probabilities, P(B|A) > .5. Probability logical accounts of nonmonotonic reasoning and inference rules like the modus ponens are explored. Categorical syllogisms with comparative and quantitative quantifiers are investigated. A series of eight experiments on human probabilistic reasoning in the framework (...) of the basic nonmonotonic system p corroborate the psychological plausibility of the proposed approach. (shrink)

Newell was a founder of artificial intelligence (AI) and a pioneer in the use of computer simulations in psychology. In collaboration with J. Cliff Shaw and Herbert A. <span class='Hi'>Simon</span>, Newell developed the first list-processing programming language as well as the earliest computer programs for simulating human problem solving. Over a long and prolific career, he contributed to many techniques, such as protocol analysis and heuristic search, that are now part of psychology and computer science. Colleagues remembered Newell for his (...) deep commitment to science, his care for details, and his inexhaustible energy. (shrink)

Tool use rivals language as an important domain of cognitive phenomena, and so as a source of insight into the nature of cognition in general. But the favoured current definition of tool use is inadequate because it does not carve the phenomena of interest at the joints. Heidegger's notion of equipment provides a more adequate theoretical framework. But Heidegger's account leads directly to a non-individualist view of the nature of cognition. Thus non-individualism is supported by concrete considerations about the nature (...) of tools and tool use. (shrink)

A computer can come to understand natural language the same way Helen Keller did: by using “syntactic semantics”—a theory of how syntax can suffice for semantics, i.e., how semantics for natural language can be provided by means of computational symbol manipulation. This essay considers real-life approximations of Chinese Rooms, focusing on Helen Keller’s experiences growing up deaf and blind, locked in a sort of Chinese Room yet learning how to communicate with the outside world. Using the SNePS computational knowledge-representation system, (...) the essay analyzes Keller’s belief that learning that “everything has a name” was the key to her success, enabling her to “partition” her mental concepts into mental representations of: words, objects, and the naming relations between them. It next looks at Herbert Terrace’s theory of naming, which is akin to Keller’s, and which only humans are supposed to be capable of. The essay suggests that computers at least, and perhaps non-human primates, are also capable of this kind of naming. (shrink)

Contextual vocabulary acquisition (CVA) is the deliberate acquisition of a meaning for a word in a text by reasoning from context, where “context” includes: (1) the reader’s “internalization” of the surrounding text, i.e., the reader’s “mental model” of the word’s “textual context” (hereafter, “co-text” [3]) integrated with (2) the reader’s prior knowledge (PK), but it excludes (3) external sources such as dictionaries or people. CVA is what you do when you come across an unfamiliar word in your reading, realize that (...) you don’t know what it means, decide that you need to know what it means in order to understand the passage, but there is no one around to ask, and it is not in the dictionary (or you are too lazy to look it up). In such a case, you can try to figure out its meaning “from context”, i.e., from clues in the co-text together with your prior knowledge. Our computational theory of CVA—implemented in a the SNePS knowledge representation and reasoning system [28]—begins with a stored knowledge base containing SNePS representations of relevant PK, inputs SNePS representations of a passage containing an unfamiliar word, and draws inferences from these two (integrated) information sources. When asked to define the word, definition algorithms deductively search the resulting network for information of the sort that might be found in a dictionary definition, outputting a definition frame whose slots are the kinds of features that a definition might contain (e.g., class membership, properties, actions, spatio-temporal information, etc.) and whose slot-fillers contain information gleaned from the network [6–8,20,23,24]. We are investigating ways to make our system more robust, to embed it in a naturallanguage-processing system, and to incorporate morphological information. Our research group, including reading educators, is also applying our methods to the develop-. (shrink)

“Contextual” vocabulary acquisition is the active, deliberate acquisition of a meaning for a word in a text by reasoning from textual clues and prior knowledge, including language knowledge and hypotheses developed from prior encounters with the word, but without external sources of help such as dictionaries or people. But what is “context”? Is it just the surrounding text? Does it include the reader’s background knowledge? I argue that the appropriate context for contextual vocabulary acquisition is the reader’s “internalization” of the (...) text “integrated” into the reader’s “prior” knowledge via belief revision. (shrink)

We discuss a research project that develops and applies algorithms for computational contextual vocabulary acquisition (CVA): learning the meaning of unknown words from context. We try to unify a disparate literature on the topic of CVA from psychology, first- and secondlanguage acquisition, and reading science, in order to help develop these algorithms: We use the knowledge gained from the computational CVA system to build an educational curriculum for enhancing students’ abilities to use CVA strategies in their reading of science texts (...) at the middle-school and college undergraduate levels. The knowledge gained from case studies of students using our CVA techniques feeds back into further development of our computational theory. Keywords: artificial intelligence, knowledge representation, reading, reasoning, science education, vocabulary acquisition. (shrink)

This project continues our interdisciplinary research into computational and cognitive aspects of narrative comprehension. Our ultimate goal is the development of a computational theory of how humans understand narrative texts. The theory will be informed by joint research from the viewpoints of linguistics, cognitive psychology, the study of language acquisition, literary theory, geography, philosophy, and artificial intelligence. The linguists, literary theorists, and geographers in our group are developing theories of narrative language and spatial understanding that are being tested by the (...) cognitive psychologists and language researchers in our group, and a computational model of a reader of narrative text is being developed by the AI researchers, based in part on these theories and results and in part on research on knowledge representation and reasoning. This proposal describes the knowledge-representation and natural-language-processing issues involved in the computational implementation of the theory; discusses a contrast between communicative and narrative uses of language and of the relation of the narrative text to the story world it describes; investigates linguistic, literary, and hermeneutic dimensions of our research; presents a computational investigation of subjective sentences and reference in narrative; studies children’s acquisition of the ability to take third-person perspective in their own storytelling; describes the psychological validation of various linguistic devices; and examines how readers develop an understanding of the geographical space of a story. This report is a longer version of a project description submitted to NSF. This document, produced in May 2007, is a L ATEX version of Technical Report 89-07 (Buffalo: SUNY Buffalo Department of Computer Science, August 1989), with slightly.. (shrink)

In this paper I provide an epistemological context for Artificial Life projects. Later on, the insights which such projects will exhibit may be used as a general direction for further Artificial Life implementations. The purpose of such a model is to demonstrate by way of simulation how higher cognitive structures may emerge from building invariants by simple sensorimotor beings. By using the bottom-up methodology of Artificial Life, it is hoped to overcome problems that arise from dealing with complex systems, such (...) as the phenomenon of cognition. The research will lead to both epistemological and technical implications.
The proposed ALife model is intended to point out the usefulness of an interdisciplinary approach including methodological approaches from disciplines such as Artificial Intelligence, Cognitive Science, Theoretical Biology, and Artificial Life. I try to put them in one single context. The epistemological background which is necessary for this purpose comes from the ideas developed in both epistemological and psychological Constructivism.
The model differs from other ALife approaches— and is somewhat radical in this sense—as it tries to start on the lowest possible level, i.e. avoids several a priori assumptions and anthropocentric ascriptions. Due to this characterization, the project may be alternatively viewed as testing the complementary relationship between epistemology and methodology. (shrink)

A considerable body of recent work in developmental psychology and animal behavior has addressed the cognitive processes required to recognize oneself in a mirror. Most models of such "mirrored self-recognition" (MSR) treat it as the result of inferential processes drawing on the subject’s possession of some sort of mature "self-awareness". The present chapter argues that such an approach to MSR is not obligatory, and suggests some empirical grounds for rejecting it. We also sketch the outlines of an alternative, "embodied" theory (...) of MSR, and propose a way to evaluate it using the tools of adaptive robotics. (shrink)

SNePS, the Semantic Network Processing System 45, 54], has been designed to be a system for representing the beliefs of a natural-language-using intelligent system (a \cognitive agent"). It has always been the intention that a SNePS-based \knowledge base" would ultimatelybe built, not by a programmeror knowledge engineer entering representations of knowledge in some formallanguage or data entry system, but by a human informing it using a natural language (NL) (generally supposed to be English), or by the system reading books or (...) articles that had been prepared for human readers. Because of this motivation, the criteria for the development of SNePS have included: it should be able to represent anything and everything expressible in NL; it should be able to represent generic, as well as speci c information; it should be able to use the generic and the speci c information to reason and infer information implied by what it has been told; it cannot count on any particular order among the pieces of information it is given; it must continue to act reasonably even if the information it is given includes circular de nitions, recursive rules, and inconsistent information. (shrink)

The Relevance of Cognitive Science to Teaching, Proceedings of the 6th International History, Philosophy & Science Teaching Conference (IHPST), Denver, Colorado, November 7-10, 2001. (PDF).

The paper is a contribution to formal ontology. It seeks to use topological means in order to derive ontological laws pertaining to the boundaries and interiors of wholes, to relations of contact and connectedness, to the concepts of surface, point, neighbourhood, and so on. The basis of the theory is mereology, the formal theory of part and whole, a theory which is shown to have a number of advantages, for ontological purposes, over standard treatments of topology in set-theoretic terms. One (...) central goal of the paper is to provide a rigorous formulation of Brentano's thesis to the effect that a boundary can exist as a matter of necessity only as part of a whole of higher dimension which it is the boundary of. It concludes with a brief survey of current applications of mereotopology in areas such as natural-language analysis, geographic information systems, machine vision, naive physics, and database and knowledge engineering. (shrink)

Robert Nozick famously asks us whether we would plug in to an experience machine, or whether we would insist upon ‘living in contact with reality’. Felipe De Brigard, after conducting a series of empirical ‘inverted’ experience machine studies, suggests that this is a false dilemma. Rather, he says, '…the fact is that people tend to prefer the state of affairs they are in currently,' or the status quo. In this paper, I argue that these studies are a test case for (...) ‘experimental philosophy’ as such. Specifically, I argue that De Brigard offers a series of faulty studies, and so, reaches unfounded conclusions. More generally, I argue that certain philosophical thought experiments cannot be tested empirically at all, and this limits what experimental philosophy can do. (shrink)

This paper concerns a recently discovered, puzzling asymmetry in judgments of whether an action is intentional or not (Knobe, Philosophical Psychology 16:309–324, 2003a ; Analysis 63:190–193, b ). We report new data replicating the asymmetry in the context of scenarios wherein an agent achieves an amoral or immoral goal due to luck. Participants’ justifications of their judgments of the intentionality of the agent’s action indicate that two distinct folk concepts of intentional action played a role in their judgments. When viewed (...) from this perspective, the puzzle disappears, although the asymmetry remains. (shrink)

Recently, a number of philosophers have advanced a surprising conclusion: people's judgments about whether an agent brought about an outcome intentionally are pervasively influenced by normative considerations. In this paper, we investigate the ‘Chairman case’, an influential case from this literature and disagree with this conclusion. Using a statistical method called structural path modeling, we show that people's attributions of intentional action to an agent are driven not by normative assessments, but rather by attributions of underlying values and characterological dispositions (...) to the agent. In a second study, we examined people's judgments about what they think drives asymmetric intuitions in the Chairman case and found that people are highly inaccurate in identifying which features of the case their intuitions track. In the final part of the paper, we discuss how the statistical methods used in this study can help philosophers with the critical features problem, the problem of figuring out which among the myriad features present in hypothetical cases are the critical ones that our intuitions are responsive to. We show how the methods used in this study have some advantages over both armchair methods used by traditional philosophers and survey methods used by experimental philosophers. (shrink)

Affective information processing is analysed considering the emotion circuits within the brain substrates of emotionality. Based on Gärdenfors’ conceptual spaces model we try to examine an emotion episode from its elicitation to the differentiation into affective processes. An affectiveconceptual spaces model is developed taking in consideration Panksepp’s nested BrainMind hierarchies.

Abstract: Each affective state has distinct motor-expressions, sensory perceptions, autonomic, and cognitive patterns. Panksepp (1998) proposed seven neural affective systems of which the SEEKING system, a generalized approach-seeking system, motivates organisms to pursue resources needed for survival. When an organism is presented with a novel stimulus, the dopamine (DA) in the nucleus accumbens septi (NAS) is released. The DA circuit outlines the generalized mesolimbic dopamine-centered SEEKING system and is especially responsive when there is an element of unpredictability in forthcoming rewards. (...) We propose that when the outcome of this interaction is unexpected or unanticipated then Panksepp’s “cognitive or expectancy reset” mechanism involving the cognitive dissonance would yield the subjective emotion of surprise. In order to appropriately react to the environment’s stimuli one needs fundamental processes that would enable one to distinguish between what is novel and what has been already experienced, as well as the different degrees of novelty. Novel events are those whose essential features of the representation (visceral and perceptual) are altered and being discrepant provoke more sustained attention. Novelty arises from salient and arousing events and the organism experiences surprise, as coming out of a habitual state. In this framework, we shall look at established theories of emotions and propose a different approach to their taxonomy. (shrink)

Neither personal belief nor a phenomenal self model can exist without attachment to a pre-reflective core self.

Jill de Villiers has argued that children's mastery of sentential complements plays a crucial role in enabling them to succeed at false-belief tasks. Josef Perner has disputed that and has argued that mastery of false-belief tasks requires an understanding of the multiplicity of perspectives. This paper attempts to resolve the debate by explicating attributions of desires and beliefs as extensions of the linguistic practices of making commands and assertions, respectively. In terms of these linguistic practices one can explain why desire-talk (...) will precede belief-talk and why even older children will have difficulty attributing incompatible desires. (shrink)

This article deals with the relationship between language and thought, focusing on the question of whether language can be a vehicle of thought, as, for example, Peter Carruthers has claimed. We develop and examine a powerful argument—the "argument from explicitness"—against this cognitive role of language. The premises of the argument are just two: (1) the vehicle of thought has to be explicit, and (2) natural languages are not explicit. We explain what these simple premises mean and why we should believe (...) they are true. Finally, we argue that even though the argument from explicitness shows that natural language cannot be a vehicle of thought, there is a cognitive function for language. (shrink)

Neural Geographies draws together recent feminist and deconstructive theories, early Freudian neurology and contemporary connectionist theories of cognition. In this original work, Elizabeth A. Wilson explores the convergence between Derrida, Freud and recent cognitive theory to pursue two important issues: the nature of cognition and neurology, and the politics of feminist and critical interventions into contemporary scientific psychology. This book seeks to reorient the usual presumptions of critical studies of the sciences by addressing the divisions between the static and the (...) changeable; the natural and the political; the neuro-cognitive and the cultural that have been traditional to both scientific and critical accounts of neurology and cognition. (shrink)