Language as a mental travel guide

2020 ◽  
Vol 43 ◽  
Author(s):  
Charles P. Davis ◽  
Gerry T. M. Altmann ◽  
Eiling Yee

Abstract Gilead et al.'s approach to human cognition places abstraction and prediction at the heart of “mental travel” under a “representational diversity” perspective that embraces foundational concepts in cognitive science. But, it gives insufficient credit to the possibility that the process of abstraction produces a gradient, and underestimates the importance of a highly influential domain in predictive cognition: language, and related, the emergence of experientially based structure through time.

1992 ◽  
Vol 15 (3) ◽  
pp. 425-437 ◽  
Author(s):  
Allen Newell

AbstractThe book presents the case that cognitive science should turn its attention to developing theories of human cognition that cover the full range of human perceptual, cognitive, and action phenomena. Cognitive science has now produced a massive number of high-quality regularities with many microtheories that reveal important mechanisms. The need for integration is pressing and will continue to increase. Equally important, cognitive science now has the theoretical concepts and tools to support serious attempts at unified theories. The argument is made entirely by presenting an exemplar unified theory of cognition both to show what a real unified theory would be like and to provide convincing evidence that such theories are feasible. The exemplar is SOAR, a cognitive architecture, which is realized as a software system. After a detailed discussion of the architecture and its properties, with its relation to the constraints on cognition in the real world and to existing ideas in cognitive science, SOAR is used as theory for a wide range of cognitive phenomena: immediate responses (stimulus-response compatibility and the Sternberg phenomena); discrete motor skills (transcription typing); memory and learning (episodic memory and the acquisition of skill through practice); problem solving (cryptarithmetic puzzles and syllogistic reasoning); language (sentence verification and taking instructions); and development (transitions in the balance beam task). The treatments vary in depth and adequacy, but they clearly reveal a single, highly specific, operational theory that works over the entire range of human cognition, SOAR is presented as an exemplar unified theory, not as the sole candidate. Cognitive science is not ready yet for a single theory – there must be multiple attempts. But cognitive science must begin to work toward such unified theories.


Sofia ◽  
2019 ◽  
Vol 8 (1) ◽  
pp. 124-145 ◽  
Author(s):  
Diego Azevedo Leite

One of the central aims of the neo-mechanistic framework for the neural and cognitive sciences is to construct a pluralistic integration of scientific explanations, allowing for a weak explanatory autonomy of higher-level sciences, such as cognitive science. This integration involves understanding human cognition as information processing occurring in multi-level human neuro-cognitive mechanisms, explained by multi-level neuro-cognitive models. Strong explanatory neuro-cognitive reduction, however, poses a significant challenge to this pluralist ambition and the weak autonomy of cognitive science derived therefrom. Based on research in current molecular and cellular neuroscience, the framework holds that the best strategy for integrating human neuro-cognitive theories is through direct reductive explanations based on molecular and cellular neural processes. It is my aim to investigate whether the neo-mechanistic framework can meet the challenge. I argue that leading neo-mechanists offer some significant replies; however, they are not able yet to completely remove strong explanatory reductionism from their own framework.


Author(s):  
Tarja Susi ◽  
Tom Ziemke

This paper addresses the relation between an agent and its environment, and more specifically, how subjects perceive object/artefacts/tools and their (possible) use. Four different conceptions of the relation between subject and object are compared here: functional tone (von Uexküll), equipment (Heidegger), affordance (Gibson), and entry point (Kirsh). even as these concepts have developed within different disciplines (theoretical biology, philosophy, psychology, and cognitive science) and in very different historical contexts, they are used more or less interchangeably in much of the literature, and typically conflated under the label of ‘affordance’. However, at closer inspection, they turn out to have not only similarities, but also substantial differences, which are identified and discussed here. Given that the relation between subjects and their objects is crucial to understanding human cognition and interaction with tools and technology, as well as robots’ interaction with their environment, we argue that these differences deserve some more attention than they have received so far.


2013 ◽  
Vol 5 (1) ◽  
pp. 70-86
Author(s):  
Raymond W. Gibbs, Jr.

Most everyone agrees that context is critical to the pragmatic interpretation of speakers’ utterances. But the enduring debate within cognitive science concerns when context has its influence in shaping people’s interpretations of what speakers imply by what they say. Some scholars maintain that context is only referred to after some initial linguistic analysis of an utterance has been performed, with other scholars arguing that context is present at all stages of immediate linguistic processing. Empirical research on this debate is, in my view, hopelessly deadlocked. My goal in this article is to advance a framework for thinking about the context for linguistic performance that conceives of human cognition and language use in terms of dynamical, self-organized processes. A self-organizational view of the context for linguistic performance demands that we acknowledge the multiple, interacting constraints which create, or soft-assemble, any specific moment of pragmatic experience. Pragmatic action and understanding is not producing or recovering a “meaning” but a continuously unfolding temporal process of the person adapting and orienting to the world. I discuss the implications of this view for the study of pragmatic meaning in discourse.


2020 ◽  
Vol 32 (3) ◽  
pp. 288-298
Author(s):  
Brad Stoddard

Abstract Seven researchers in the growing field of the cognitive science of religion recently claimed to have documented the unique neural correlates of spirituality separate from and independent of religion. They claimed that spirituality is therefore a natural part of human cognition and suggested that they proved definitively that spirituality is substantively different than religion. Using insights developed by scholars associated with the critical religion approach to the academic study of religion, this article identifies a series of methodological errors that undermine the researchers’ project and that potentially impacts the larger academic study of the cognitive science of religion.


2009 ◽  
Vol 32 (5) ◽  
pp. 429-448 ◽  
Author(s):  
Nicholas Evans ◽  
Stephen C. Levinson

AbstractTalk of linguistic universals has given cognitive scientists the impression that languages are all built to a common pattern. In fact, there are vanishingly few universals of language in the direct sense that all languages exhibit them. Instead, diversity can be found at almost every level of linguistic organization. This fundamentally changes the object of enquiry from a cognitive science perspective. This target article summarizes decades of cross-linguistic work by typologists and descriptive linguists, showing just how few and unprofound the universal characteristics of language are, once we honestly confront the diversity offered to us by the world's 6,000 to 8,000 languages. After surveying the various uses of “universal,” we illustrate the ways languages vary radically in sound, meaning, and syntactic organization, and then we examine in more detail the core grammatical machinery of recursion, constituency, and grammatical relations. Although there are significant recurrent patterns in organization, these are better explained as stable engineering solutions satisfying multiple design constraints, reflecting both cultural-historical factors and the constraints of human cognition.Linguistic diversity then becomes the crucial datum for cognitive science: we are the only species with a communication system that is fundamentally variable at all levels. Recognizing the true extent of structural diversity in human language opens up exciting new research directions for cognitive scientists, offering thousands of different natural experiments given by different languages, with new opportunities for dialogue with biological paradigms concerned with change and diversity, and confronting us with the extraordinary plasticity of the highest human skills.


2009 ◽  
Vol 32 (1) ◽  
pp. 105-120 ◽  
Author(s):  
Mike Oaksford ◽  
Nick Chater

AbstractHuman cognition requires coping with a complex and uncertain world. This suggests that dealing with uncertainty may be the central challenge for human reasoning. InBayesian Rationalitywe argue that probability theory, the calculus of uncertainty, is the right framework in which to understand everyday reasoning. We also argue that probability theory explains behavior, even on experimental tasks that have been designed to probe people's logical reasoning abilities. Most commentators agree on the centrality of uncertainty; some suggest that there is a residual role for logic in understanding reasoning; and others put forward alternative formalisms for uncertain reasoning, or raise specific technical, methodological, or empirical challenges. In responding to these points, we aim to clarify the scope and limits of probability and logic in cognitive science; explore the meaning of the “rational” explanation of cognition; and re-evaluate the empirical case for Bayesian rationality.


2015 ◽  
Vol 40 (1) ◽  
pp. 91-109
Author(s):  
Łukasz Afeltowicz ◽  
Witold Wachowski

Abstract The aim of this paper is to discuss the concept of distributed cognition (DCog) in the context of classic questions posed by mainstream cognitive science. We support our remarks by appealing to empirical evidence from the fields of cognitive science and ethnography. Particular attention is paid to the structure and functioning of a cognitive system, as well as its external representations. We analyze the problem of how far we can push the study of human cognition without taking into account what is underneath an individual’s skin. In light of our discussion, a distinction between DCog and the extended mind becomes important.


2007 ◽  
Vol 7 (3-4) ◽  
pp. 341-353 ◽  
Author(s):  
Anders Lisdorf

AbstractThe consensus in the cognitive science of religion is that some sort of hyperactive agency detection in the human mind is responsible for the origin and spread of beliefs in superhuman agents such as gods, spirits and ancestors among human populations. While it is expressed differently in different authors, they all agree that hyperactive agency detection is a basic function of human cognition. Most well known perhaps is the formulation of this by Justin Barrett as the Hyperactive Agency Detection Device or HADD. Problems, however, arise when we begin to consider the neural basis of this: It doesn't add up, or more precisely the HADD does not work that way. Like the magician pulling rabbits from the hat this explanation may be a "self"-conjuring trick, only for us the hat is a HADD and the rabbits are superhuman agents (no reference to were-rabbits intended). This paper will try to point to a more parsimonious explanation.


Author(s):  
RAMAKRUSHNA SWAIN ◽  
NARENDRA KUMAR KAMILA

This paper focuses on current progress for the understanding of human cognition. Here different models have been considered such as MLP, FLANN, PNN, MLR, and HSN for recognition of one of the state of mind. It is argued that in addition to other models, PSO occupies a prominent place in the future of cognitive science, and that cognitive scientists should play an active role in the process. Baysian Approach in the same context has also discussed. The special case of predicting harm doing in a particular mental state has been experimented taking different models into account in depicting decision making as a process of probabilistic, knowledge-driven inference.


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