In a brief overview this article discusses that, in the multifaceted field of cognitive sciences, the problem of consciousness and mind is far from being resolved. The article then argues that this problem is worked out in careful detail in Peirce’s work. Intelligence, hence mind, for Peirce, is distinct from consciousness. Without being dissociable, they are, in fact, distinct but complementary. Hence, Peirce’s ideas should be recovered not only for the sake of their relevance, but also because cognitivists have a (...) lot to learn from Peirce. (shrink)

This paper introduces a special issue of Cognitive Science initiated on the 25th anniversary of the publication of Parallel Distributed Processing (PDP), a two-volume work that introduced the use of neural network models as vehicles for understanding cognition. The collection surveys the core commitments of the PDP framework, the key issues the framework has addressed, and the debates the framework has spawned, and presents viewpoints on the current status of these issues. The articles focus on both historical roots and contemporary (...) developments in learning, optimality theory, perception, memory, language, conceptual knowledge, cognitive control, and consciousness. Here we consider the approach more generally, reviewing the original motivations, the resulting framework, and the central tenets of the underlying theory. We then evaluate the impact of PDP both on the field at large and within specific subdomains of cognitive science and consider the current role of PDP models within the broader landscape of contemporary theoretical frameworks in cognitive science. Looking to the future, we consider the implications for cognitive science of the recent success of machine learning systems called “deep networks”—systems that build on key ideas presented in the PDP volumes. (shrink)

The history of science can be better understood against the background of a history of knowledge comprising not only theoretical but also intuitive and practical knowledge. This widening of scope necessitates a more concise definition of the concept of knowledge, relating its cognitive to its material and social dimensions. The history of knowledge comprises the history of institutions in which knowledge is produced and transmitted. This is an essential but hitherto neglected aspect of cultural evolution. Taking this aspect into account (...) one is led to the concept of extended evolution, which integrates the perspectives of niche construction and complex regulative networks. The paper illustrates this concept using four examples: the emergence of language, the Neolithic revolution, the invention of writing and the origin of mechanics. (shrink)

This paper uses examples of conversational understandings, misunderstandings and non-understandings to explore the role of prototypes and schemata in conversational understanding. An investigation of the procedures by which we make sense of lexical items in utterances by fitting prototypes into schemata is followed by an examination of how schemata are instantiated across conversational sequences by means of topics. In interaction, conflicts over meaning illuminate the decisive role of social and cultural factors in understanding. Overall, understanding is seen to be critically (...) dependent on principles of categorisation and contrast, which form the basis of both cognitive and sociocultural means of organisation. (shrink)

Deliberate contextual vocabulary acquisition (CVA) is a reader’s ability to figure out a (not the) meaning for an unknown word from its “context”, without external sources of help such as dictionaries or people. The appropriate context for such CVA is the “belief-revised integration” of the reader’s prior knowledge with the reader’s “internalization” of the text. We discuss unwarranted assumptions behind some classic objections to CVA, and present and defend a computational theory of CVA that we have adapted to a new (...) classroom curriculum designed to help students use CVA to improve their reading comprehension. (shrink)

In the Fall of 1983, I offered a junior/senior-level course in Philosophy of Artificial Intelligence, in the Department of Philosophy at SUNY Fredonia, after returning there from a year’s leave to study and do research in computer science and artificial intelligence (AI) at SUNY Buffalo. Of the 30 students enrolled, most were computerscience majors, about a third had no computer background, and only a handful had studied any philosophy. (I might note that enrollments have subsequently increased in the Philosophy Department’s (...) AI-related courses, such as logic, philosophy of mind, and epistemology, and that several computer science students have added philosophy as a second major.) This article describes that course, provides material for use in such a course, and offers a bibliography of relevant articles in the AI, cognitive science, and philosophical literature. (shrink)

The resolution of ambiguities is one of the central problems for Machine Translation. In this paper we propose a knowledge-based approach to disambiguation which uses Description Logics (dl) as representation formalism. We present the process of anaphora resolution implemented in the Machine Translation systemfast and show how thedl systemback is used to support disambiguation.The disambiguation strategy uses factors representing syntactic, semantic, and conceptual constraints with different weights to choose the most adequate antecedent candidate. We show how these factors can be (...) declaratively represented as defaults inback. Disambiguation is then achieved by determining the interpretation that yields a qualitatively minimal number of exceptions to the defaults, and can thus be formalized as exception minimization. (shrink)

Intuitive conceptions guide practice, but practice reciprocally reshapes intuition. The intuitive conception of intelligence in AI was originally highly anthropocentric. However, the internal dynamics of AI research have resulted in a divergence from anthropocentric concerns. In particular, the increasing emphasis on commonsense knowledge and peripheral intelligence (perception and movement) in effect constitutes an incipient reorientation of intuitions about the nature of intelligence in a non-anthropocentric direction. I argue that this conceptual shift undermines Joseph Weizenbaum's claim that the project of artificial (...) intelligence is inherently dehumanizing. (shrink)

This research looks into absurdity focusing on its etymology as well as its relationship with the concepts "sense" and "meaning", looks into the concepts of "context" and "decontextualization" so as to understand the nature of absurd decontextualization. Considering the different meanings of absurdity in literature, philosophy and humour, this research is also meant to provide a breakdown of the architecture of nonsense.

We don't yet have adequate theories of what the human mind is representing when it represents a social group. Worse still, many people think we do. This mistaken belief is a consequence of the state of play: Until now, researchers have relied on their own intuitions to link up the concept social group on the one hand and the results of particular studies or models on the other. While necessary, this reliance on intuition has been purchased at a considerable cost. (...) When looked at soberly, existing theories of social groups are either literal, but not remotely adequate, or simply metaphorical. Intuition is filling in the gaps of an explicit theory. This paper presents a computational theory of what, literally, a group representation is in the context of conflict: It is the assignment of agents to specific roles within a small number of triadic interaction types. This “mental definition” of a group paves the way for a computational theory of social groups – in that it provides a theory of what exactly the information-processing problem of representing and reasoning about a group is. For psychologists, this paper offers a different way to conceptualize and study groups, and suggests that a non-tautological definition of a social group is possible. For cognitive scientists, this paper provides a computational benchmark against which natural and artificial intelligences can be held. (shrink)

The target article is an appeal to allow explicit computational theorizing into the study of social groups. Some commentators took this proposal and ran with it, some had questions about it, and some were confused or even put off by it. But even the latter did not seem to outright disagree – they thought the proposal was mutually exclusive with some other enterprise, when in fact it is not. Unfortunately, scientists studying social groups have not yet avoided the thread-bare trope (...) of the blind men studying the different parts of the elephant: We see mutual exclusivity when we should see complementarity. I hope we can all take the next steps of examining how the different enterprises and approaches within our area of research might all fit together into a unified whole. (shrink)

It is often assumed that cognitive science is built upon folk psychology, and that challenges to folk psychology are therefore challenges to cognitive science itself. We argue that, in practice, cognitive science and folk psychology treat entirely non-overlapping domains: cognitive science considers aspects of mental life which do not depend on general knowledge, whereas folk psychology considers aspects of mental life which do depend on general knowledge. We back up our argument on theoretical grounds, and also illustrate the separation between (...) cognitive scientific and folk psychological phenomena in a number of cognitive domains. We consider the methodological and theoretical significance of our arguments for cognitive science research. (shrink)

Freedom of will is fundamental to morality, intuition of self, and normal functioning of society. However, science does not provide a clear logical foundation for this idea. This paper considers the fundamental argument against free will, so called reductionism, and why the choice for dualism against monism, follows logically. Then, the paper summarizes unexpected conclusions from recent discoveries in cognitive science. Classical logic turns out not to be a fundamental mechanism of the mind. It is replaced by dynamic logic. Mathematical (...) and experimental evidence are considered conceptually. Dynamic logic counters logical arguments for reductionism. Contemporary science of mind is not reducible; free will can be scientifically accepted along with scientific monism. (shrink)

This paper presents a new language for isomorphic representations of legalknowledge in feature structures. The language includes predefinedstructures based on situation theory for common-sense categories, andpredefined structures based on Van Kralingens frame-based conceptualmodelling language for legal rules. It is shown that the flexibility of thefeature-structure formalism can exploited to allow for structure-preservingrepresentations of non-primitive concepts, and to enable various types ofinteraction and cross- reference between language elements. A fragment of theDutch Opium Act is used to illustrate how modelling and reasoning (...) proceed in practice. (shrink)

Mental spacesare conceptual structures for meaning representation and interpretation in discourse. They are pervasive in everyday language as an important aspect of ongoing language processing and meaning construction (Hamawand 2016). The application ofMental Space Theory(MST) to the analysis of real, attested examples of discourse (e.g. Conversation Analysis) has been undertaken through productive exchanges (seeHougaard 2004,2005,Oakley & Hougaard 2008,Oakley 2009). The integration links external, observable language behaviors to internal, conceptual mental operations (Williams 2008), revealing that the cognitive dimensions of discursive approaches (...) are essential to the analysis of talk-in-interaction. This study focuses on the technical aspects of Conversation Analysis in interactive academic talk and shows how MST can provide a subsequent framework for making plausible accounts of the meaning construction process underlying typical conversational moves in this unique talk setting. The data analyses show that the accessibility and selectivity of cognitive mappings contribute to shaping the structurality of meaning representation, transmission, and interpretation. The findings have implications for understanding and characterizing how co-constructed meaning enters into individual and collective conceptualization in higher education communication. (shrink)

In Gärdenfors and Makinson :197–245, 1994) and Gärdenfors it was shown that it is possible to model nonmonotonic inference using a classical consequence relation plus an expectation-based ordering of formulas. In this article, we argue that this framework can be significantly enriched by adopting a conceptual spaces-based analysis of the role of expectations in reasoning. In particular, we show that this can solve various epistemological issues that surround nonmonotonic and default logics. We propose some formal criteria for constructing and updating (...) expectation orderings based on conceptual spaces, and we explain how to apply them to nonmonotonic reasoning about objects and properties. (shrink)

We advance a model of human probability judgment and apply it to the design of an extrapolation algorithm. Such an algorithm examines a person's judgment about the likelihood of various statements and is then able to predict the same person's judgments about new statements. The algorithm is tested against judgments produced by thirty undergraduates asked to assign probabilities to statements about mammals.

The Computational Metaphor is an extremely influential notion, and more than any other trend has given rise to the field of Cognitive Science. Environmentalism is at present better formalised as a political movement than as a scientific paradigm, despite significant research by Gibson and his followers. This article attempts to address the difficult problem of synthesising these two apparently antagonistic research paradigms.

In this article, I present a software architecture for intelligent agents. The essence of AI is complex information processing. It is impossible, in principle, to process complex information as a whole. We need some partial processing strategy that is still somehow connected to the whole. We also need flexible processing that can adapt to changes in the environment. One of the candidates for both of these is situated reasoning, which makes use of the fact that an agent is in a (...) situation, so it only processes some of the information – the part that is relevant to that situation. The combination of situated reasoning and context reflection leads to the idea of organic programming, which introduces a new building block of programs called a cell. Cells contain situated programs and the combination of cells is controlled by those programs. (shrink)

Abstract:Employee-employee conflicts are common occasions for managerial intervention. In judging such disputes, managers bring to encounters a frame that is not conducive to employee due process. Making managers aware of their legal responsibilities in resolving employee disputes is a poor substitute for managers’ understanding and implementation of their ethical due process obligations. Moreover, moral imagination is necessary in order to counter the effects of the managerial frame that employees are either not worthy of due process protections or that such protections (...) are not a priority. (shrink)

Abstract:Employee-employee conflicts are common occasions for managerial intervention. In judging such disputes, managers bring to encounters a frame that is not conducive to employee due process. Making managers aware of their legal responsibilities in resolving employee disputes is a poor substitute for managers’ understanding and implementation of their ethical due process obligations. Moreover, moral imagination is necessary in order to counter the effects of the managerial frame that employees are either not worthy of due process protections or that such protections (...) are not a priority. (shrink)

Concepts are highly theoretical entities. One cannot study them empirically without committing oneself to substantial preliminary assumptions. Among the competing theories of concepts and categorization developed by psychologists in the last thirty years, the implicit theoretical assumption that what falls under a concept is determined by description () has never been seriously challenged. I present a nondescriptionist theory of our most basic concepts, which include (1) stuffs (gold, milk), (2) real kinds (cat, chair), and (3) individuals (Mama, Bill Clinton, the (...) Empire State Building). On the basis of something important that all three have in common, our earliest and most basic concepts of substances are identical in structure. The membership of the category like that of is a natural unit in nature, to which the concept does something like pointing, and continues to point despite large changes in the properties the thinker represents the unit as having. For example, large changes can occur in the way a child identifies cats and the things it is willing to call without affecting the extension of its word The difficulty is to cash in the metaphor of in this context. Having substance concepts need not depend on knowing words, but language interacts with substance concepts, completely transforming the conceptual repertoire. I will discuss how public language plays a crucial role in both the acquisition of substance concepts and their completed structure. (shrink)

McRae, Brown and Elman argue against the view that events are structured as frequently‐occurring sequences of world stimuli. They underline the importance of temporal structure defining event types and advance a more complex temporal structure, which allows for some variance in the component elements.

A theory is presented which proposes that knowledge acquisition involves direct perception of schematic information in the form of structural and transformational invariances. Individual components with salient verbal descriptions are considered conscious place-holders for non-conscious invariant schemes. It is speculated that theories positing mental construction have three related causes: The first is a lack of consciousness of the schema processing capacities of the right hemisphere; the second is the paucity of adequate words to express schematic relationships; and the last involves (...) the dominance of verbal processes in consciousness. Philosophical theories are reviewed and schematic data relevant to biological survival is offered. Applications to education are suggested. (shrink)

Natural dialogue does not proceed haphazardly; it has an easily recognized “episodic” structure and coherence which conform to a well developed set of conventions. This paper represents these conventions formally in terms related to speech act theory and to a theory of action.The major formal unit, the dialogue game, specifies aspects of the communication of both participants in a dialogue. We define the formal notion of dialogue games, and describe some of the important games of English. Dialogue games are conventions (...) of interactive goal pursuit. Using them, each participant pursues his own goals in a way which sometimes serves the goals of the other. The idea of dialogue games can thus be seen as a part of a broader theoretical perspective which characterizes virtually all communication as goal pursuit activity.We also define and exemplify the property of Motivational Coherence of dialogues. Motivational Coherence can be used as an interpretive principle in explaining language comprehension.Actual dialogue games have a kind of causal connectedness which is not a consequence of their formal properties. This is explained in terms of a theory of action, which is also seen to explain a similar attribute of speech acts. (shrink)