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What function is played by concepts related to meaning and mereology in the cognitive sciences? How can one outline adequate simulation models for the continuous emergence of new categorization forms characterizing cognitive processes? To what extent is it possible to define new measures of meaningful complexity? How is it possible to describe synergetically the symbolic dynamics inherent in cognitive processes? What types of formal models should we use to describe the evolutionary aspects of cognition? These, the most difficult questions in cognitive science, are discussed here in 15 original essays written by distinguished scholars drawn from a variety of disciplines. The first part presents an up-to-date account of some current trends in the functional modeling of cognitive activities, the synergetic models in particular are widely discussed. The second part focuses on recent advances in complexity theory, self-organizing networks, the theory of self- reference, and the theory of self organization. The third part focuses on some methods of formal analysis that can be used to delineate consistent simulation models of cognitive activities at the perceptual, linguistic and computational levels. The volume also highlights traditional philosophical concerns about realism, the cognitivism-connectionism debate, and the role of holistic assumptions. Readership: psychologists, cognitive scientists, theorists working in complexity theory, self-organization theory, synergetics, semantics of natural language and mereology, philosophers, epistemologists.
An introduction to computational modeling for cognitive neuroscientists, covering both foundational work and recent developments. Cognitive neuroscientists need sophisticated conceptual tools to make sense of their field’s proliferation of novel theories, methods, and data. Computational modeling is such a tool, enabling researchers to turn theories into precise formulations. This book offers a mathematically gentle and theoretically unified introduction to modeling cognitive processes. Theoretical exercises of varying degrees of difficulty throughout help readers develop their modeling skills. After a general introduction to cognitive modeling and optimization, the book covers models of decision making; supervised learning algorithms, including Hebbian learning, delta rule, and backpropagation; the statistical model analysis methods of model parameter estimation and model evaluation; the three recent cognitive modeling approaches of reinforcement learning, unsupervised learning, and Bayesian models; and models of social interaction. All mathematical concepts are introduced gradually, with no background in advanced topics required. Hints and solutions for exercises and a glossary follow the main text. All code in the book is Python, with the Spyder editor in the Anaconda environment. A GitHub repository with Python files enables readers to access the computer code used and start programming themselves. The book is suitable as an introduction to modeling cognitive processes for students across a range of disciplines and as a reference for researchers interested in a broad overview.
A cutting-edge reference source for the interdisciplinary field of computational cognitive modeling.
The field of cognitive modeling has progressed beyond modeling cognition in the context of simple laboratory tasks and begun to attack the problem of modeling it in more complex, realistic environments, such as those studied by researchers in the field of human factors. The problems that the cognitive modeling community is tackling focus on modeling certain problems of communication and control that arise when integrating with the external environment factors such as implicit and explicit knowledge, emotion, cognition, and the cognitive system. These problems must be solved in order to produce integrated cognitive models of moderately complex tasks. Architectures of cognition in these tasks focus on the control of a central system, which includes control of the central processor itself, initiation of functional processes, such as visual search and memory retrieval, and harvesting the results of these functional processes. Because the control of the central system is conceptually different from the internal control required by individual functional processes, a complete architecture of cognition must incorporate two types of theories of control: Type 1 theories of the structure, functionality, and operation of the controller, and type 2 theories of the internal control of functional processes, including how and what they communicate to the controller. This book presents the current state of the art for both types of theories, as well as contrasts among current approaches to human-performance models. It will be an important resource for professional and student researchers in cognitive science, cognitive-engineering, and human-factors.Contributors: Kevin A. Gluck, Jerry T. Ball, Michael A. Krusmark, Richard W. Pew, Chris R. Sims, Vladislav D. Veksler, John R. Anderson, Ron Sun, Nicholas L. Cassimatis, Randy J. Brou, Andrew D. Egerton, Stephanie M. Doane, Christopher W. Myers, Hansjorg Neth, Jeremy M Wolfe, Marc Pomplun, Ronald A. Rensink, Hansjorg Neth, Chris R. Sims, Peter M. Todd, Lael J. Schooler, Wai-Tat Fu, Michael C. Mozer, Sachiko Kinoshita, Michael Shettel, Alex Kirlik, Vladislav D. Veksler, Michael J. Schoelles, Jerome R. Busemeyer, Eric Dimperio, Ryan K. Jessup, Jonathan Gratch, Stacy Marsella, Glenn Gunzelmann, Kevin A. Gluck, Scott Price, Hans P. A. Van Dongen, David F. Dinges, Frank E. Ritter, Andrew L. Reifers, Laura Cousino Klein, Michael J. Schoelles, Eva Hudlicka, Hansjorg Neth, Christopher W. Myers, Dana Ballard, Nathan Sprague, Laurence T. Maloney, Julia Trommershauser, Michael S. Landy, A. Hornof, Michael J. Schoelles, David Kieras, Dario D. Salvucci, Niels Taatgen, Erik M. Altmann, Richard A. Carlson, Andrew Howes, Richard L. Lewis, Alonso Vera, Richard P. Cooper, and Michael D. Byrne
Recognition that aging is not the accumulation of disease, but rather comprises fundamental biological processes that are amenable to experimental study, is the basis for the recent growth of experimental biogerontology. As increasingly sophisticated studies provide greater understanding of what occurs in the aging brain and how these changes occur
This book presents an integrated framework for developing and testing computational models in psychology and related disciplines. Researchers and students are given the knowledge and tools to interpret models published in their area, as well as to develop, fit, and test their own models.
How to Build a Brain provides a detailed exploration of a new cognitive architecture - the Semantic Pointer Architecture - that takes biological detail seriously, while addressing cognitive phenomena. Topics ranging from semantics and syntax, to neural coding and spike-timing-dependent plasticity are integrated to develop the world's largest functional brain model.
This text provides practical information, tools and resources for implementation of the Multicontext Approach (MC) in cognitive rehabilitation. The Multicontext approach is uniquely designed to promote and enhance cognitive strategy use, self-awareness and self-monitoring skills across everyday activities in a way that maximizes functional outcomes for people with cognitive impairments due to acquired brain injury and other health conditions. Assembled by a leading worldwide expert in cognitive rehabilitation, this is the first comprehensive volume that integrates Multicontext treatment principles, evidence and guidelines all in one place and provides "how to" information to guide clinical practice and research. Organized into 3 sections, the first part provides foundational knowledge and clinical examples of the impact of cognitive impairments on functional performance and includes tools for observing, analyzing, and interpreting cognitive performance within daily life activities. The second part provides in-depth coverage of the Multicontext approach including theoretical concepts, strategies to address different cognitive performance problems, and detailed guidelines for using a structured metacognitive framework, guided learning techniques, and structuring treatment activities along a transfer continuum to optimize generalization or carryover of learning. The final part of the book provides additional clinical scenarios and case examples to illustrate how the Multicontext approach can be tailored to meet individual needs across a wide range of clinical problems and settings as well as within interprofessional teams. This landmark publication is an essential resource for occupational therapy practitioners, students, clinical neuropsychologists, researchers, and other healthcare professionals who work within the field of cognitive rehabilitation in inpatient, outpatient or community-based settings. In a large-size format for easy photocopying, this invaluable book features an extensive appendix with a full of a range of learning exercises and reflective activities, summaries, observational tools, training guides, clinical examples, treatment forms and worksheets that can be reproduced for clinical practice to enable readers to carry out these methods with their clients. Purchasers obtain access to a Web page where they can download and print reproducible materials from appendices.
This book, intended primarily for researchers and advanced students, expands greatly on previous work by the authors exploring the topography of the multidimensional “functional-cognitive space” within which functional, cognitive and/or constructionist approaches to language can be located. The analysis covers a broad range of 16 such approaches, with some additional references to Chomskyan minimalism, and is based on 58 questionnaire items, each rated by 29 experts on particular models for their importance in the model concerned. These ratings are analysed statistically to reveal overall patterns of (dis)similarity across models. The questionnaire ratings and experts’ comments are then used, together with the authors’ close reading of the literature, in detailed discussion leading to a final dichotomous rating for each feature in each model, the results again being analysed statistically. The final chapter presents the overall conclusions and suggests how existing collaborations between approaches could be strengthened, and new ones created, in future research. Exploring Functional-Cognitive Space has been awarded the 2016 prize of the Spanish Association for Applied Linguistics (Asociación Española de Lingüística Aplicada, AESLA) for work by experienced researchers.