An Interdisciplinary Approach To Cognitive Modelling
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| Author | : Partha Ghose |
| Publisher | : Taylor & Francis |
| Total Pages | : 139 |
| Release | : 2023-12-05 |
| Genre | : Philosophy |
| ISBN | : 1003818552 |
An Interdisciplinary Approach to Cognitive Modelling presents a new approach to cognition that challenges long-held views. It systematically develops a broad-based framework to model cognition, which is mathematically equivalent to the emerging ‘quantum-like modelling’ of the human mind. The book argues that a satisfactory physical and philosophical basis of such an approach is missing, a particular issue being the application of quantization to the mind for which there is no empirical evidence as yet. In response to this issue, the book adopts a COM (classical optical modelling) approach, broad-based but mathematically equivalent to quantum-like modelling while avoiding its problematic features. It presents a philosophically informed and empirically motivated mathematical model of cognition, mainly concerning decision-making processes. It also deals with applications to different areas of the social sciences. It will be of interest to scholars and research students interested in the mathematical modelling of cognition and decision-making, and also interdisciplinary researchers interested in broader issues of cognition.
| Author | : Carolyn P. Sobel |
| Publisher | : SAGE Publications |
| Total Pages | : 465 |
| Release | : 2013-01-17 |
| Genre | : Psychology |
| ISBN | : 1483306194 |
The Cognitive Sciences: An Interdisciplinary Approach, Second Edition offers an engaging, thorough introduction to the cognitive sciences. Authors Carolyn Sobel and Paul Li examine the historical and contemporary issues and research findings of the core cognitive science disciplines: cognitive psychology, neuroscience, artificial intelligence, linguistics, evolutionary psychology, and philosophy. For each of these core disciplines, the historical development and classic research studies are presented in one chapter and current research development and issues follow in a second chapter, offering students a broad understanding of the development of each concentration in the cognitive sciences. The text presents a student-friendly approach to understanding how each discipline has contributed to the growth of cognitive science and the implications for future research. NEW TO THIS EDITION Includes a new chapter on evolutionary psychology, an important emerging field in the cognitive sciences. Offers fully updated research, including subjects such as embodied cognition and extended cognition (philosophy), bilingualism indicating its wide-ranging effects on brain capabilities (linguistics), and current work in neuroplasticity (neuroscience). A new image program helps illustrate new and key concepts in the text. The companion website contains helpful pedagogical features to aid faculty and students. Praise for The Cognitive Sciences, Second Edition “I am impressed with the completeness of the text. I have suffered from some tunnel vision thinking that all cognitive science intros needed to be more thematic. The field approach of this one is a refreshing change.” - Kenneth M. Moorman, Transylvania University “You have a winner. It is well organized, cutting edge, theoretical, and substantive, and easy to read. The stories and contextualization of the material for the reader was the biggest strength of this text.” - Thelon Byrd Jr., Bowie State University “The text is clear, organized, and, overall, very well-written. In fact, it has been a pleasure to read. It should be very accessible to undergrads in an introductory cognitive science course, whether majors or not." - Michael R. Scheessele, Indiana University South Bend
| Author | : Zheng Joyce Wang |
| Publisher | : MIT Press |
| Total Pages | : 305 |
| Release | : 2021-03-09 |
| Genre | : Science |
| ISBN | : 0262361655 |
The emerging interdisciplinary field of cognitive choice models integrates theory and recent research findings from both decision process and choice behavior. Cognitive decision processes provide the interface between the environment and brain, enabling choice behavior, and the basic cognitive mechanisms underlying decision processes are fundamental to all fields of human activity. Yet cognitive processes and choice processes are often studied separately, whether by decision theorists, consumer researchers, or social scientists. In Cognitive Choice Modeling, Zheng Joyce Wang and Jerome R. Busemeyer introduce a new cognitive modeling approach to the study of human choice behavior. Integrating recent research findings from both cognitive science and choice behavior, they lay the groundwork for the emerging interdisciplinary field of cognitive choice modeling.
| Author | : Jensine Andresen |
| Publisher | : Imprint Academic |
| Total Pages | : 298 |
| Release | : 2000 |
| Genre | : Consciousness |
| ISBN | : 9780907845133 |
This book throws down a challenge to religious studies, offering a multidisciplinary approach - including developmental psychology, neuropsychology, philosophy of mind, and anthropology.
| Author | : Tom Verguts |
| Publisher | : MIT Press |
| Total Pages | : 265 |
| Release | : 2022-02-01 |
| Genre | : Science |
| ISBN | : 0262045362 |
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.
| Author | : Ron Sun |
| Publisher | : Cambridge University Press |
| Total Pages | : 767 |
| Release | : 2008-04-28 |
| Genre | : Computers |
| ISBN | : 0521674107 |
A cutting-edge reference source for the interdisciplinary field of computational cognitive modeling.
| Author | : Nancy J. Nersessian |
| Publisher | : MIT Press |
| Total Pages | : 393 |
| Release | : 2022-11-22 |
| Genre | : Science |
| ISBN | : 0262544660 |
A cognitive ethnography of how bioengineering scientists create innovative modeling methods. In this first full-scale, long-term cognitive ethnography by a philosopher of science, Nancy J. Nersessian offers an account of how scientists at the interdisciplinary frontiers of bioengineering create novel problem-solving methods. Bioengineering scientists model complex dynamical biological systems using concepts, methods, materials, and other resources drawn primarily from engineering. They aim to understand these systems sufficiently to control or intervene in them. What Nersessian examines here is how cutting-edge bioengineering scientists integrate the cognitive, social, material, and cultural dimensions of practice. Her findings and conclusions have broad implications for researchers in philosophy, science studies, cognitive science, and interdisciplinary studies, as well as scientists, educators, policy makers, and funding agencies. In studying the epistemic practices of scientists, Nersessian pushes the boundaries of the philosophy of science and cognitive science into areas not ventured before. She recounts a decades-long, wide-ranging, and richly detailed investigation of the innovative interdisciplinary modeling practices of bioengineering researchers in four university laboratories. She argues and demonstrates that the methods of cognitive ethnography and qualitative data analysis, placed in the framework of distributed cognition, provide the tools for a philosophical analysis of how scientific discoveries arise from complex systems in which the cognitive, social, material, and cultural dimensions of problem-solving are integrated into the epistemic practices of scientists. Specifically, she looks at how interdisciplinary environments shape problem-solving. Although Nersessian’s case material is drawn from the bioengineering sciences, her analytic framework and methodological approach are directly applicable to scientific research in a broader, more general sense, as well.
| Author | : T. Dartnall |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 444 |
| Release | : 2013-04-17 |
| Genre | : Psychology |
| ISBN | : 9401707936 |
Creativity is one of the least understood aspects of intelligence and is often seen as `intuitive' and not susceptible to rational enquiry. Recently, however, there has been a resurgence of interest in the area, principally in artificial intelligence and cognitive science, but also in psychology, philosophy, computer science, logic, mathematics, sociology, and architecture and design. This volume brings this work together and provides an overview of this rapidly developing field. It addresses a range of issues. Can computers be creative? Can they help us to understand human creativity? How can artificial intelligence (AI) enhance human creativity? How, in particular, can it contribute to the `sciences of the artificial', such as design? Does the new wave of AI (connectionism, geneticism and artificial life) offer more promise in these areas than classical, symbol-handling AI? What would the implications be for AI and cognitive science if computers could not be creative? These issues are explored in five interrelated parts, each of which is introducted and explained by a leading figure in the field. - Prologue (Margaret Boden) - Part I: Foundational Issues (Terry Dartnall) - Part II: Creativity and Cognition (Graeme S. Halford and Robert Levinson) - Part III: Creativity and Connectionism (Chris Thornton) - Part IV: Creativity and Design (John Gero) - Part V: Human Creativity Enhancement (Ernest Edmonds) - Epilogue (Douglas Hofstadter) For researchers in AI, cognitive science, computer science, philosophy, psychology, mathematics, logic, sociology, and architecture and design; and anyone interested in the rapidly growing field of artificial intelligence and creativity.
| Author | : Thierry Poibeau |
| Publisher | : Cambridge University Press |
| Total Pages | : 351 |
| Release | : 2018-01-25 |
| Genre | : Computers |
| ISBN | : 110850678X |
How do infants learn a language? Why and how do languages evolve? How do we understand a sentence? This book explores these questions using recent computational models that shed new light on issues related to language and cognition. The chapters in this collection propose original analyses of specific problems and develop computational models that have been tested and evaluated on real data. Featuring contributions from a diverse group of experts, this interdisciplinary book bridges the gap between natural language processing and cognitive sciences. It is divided into three sections, focusing respectively on models of neural and cognitive processing, data driven methods, and social issues in language evolution. This book will be useful to any researcher and advanced student interested in the analysis of the links between the brain and the language faculty.
| Author | : Lorenzo Magnani |
| Publisher | : Springer |
| Total Pages | : 674 |
| Release | : 2016-07-01 |
| Genre | : Philosophy |
| ISBN | : 3319389831 |
This book discusses how scientific and other types of cognition make use of models, abduction, and explanatory reasoning in order to produce important or creative changes in theories and concepts. It includes revised contributions presented during the international conference on Model-Based Reasoning (MBR’015), held on June 25-27 in Sestri Levante, Italy. The book is divided into three main parts, the first of which focuses on models, reasoning and representation. It highlights key theoretical concepts from an applied perspective, addressing issues concerning information visualization, experimental methods and design. The second part goes a step further, examining abduction, problem solving and reasoning. The respective contributions analyze different types of reasoning, discussing various concepts of inference and creativity and their relationship with experimental data. In turn, the third part reports on a number of historical, epistemological and technological issues. By analyzing possible contradictions in modern research and describing representative case studies in experimental research, this part aims at fostering new discussions and stimulating new ideas. All in all, the book provides researchers and graduate students in the field of applied philosophy, epistemology, cognitive science and artificial intelligence alike with an authoritative snapshot of current theories and applications of model-based reasoning.
