The Symbolic And Connectionist Paradigms
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Author | : John Dinsmore |
Publisher | : Psychology Press |
Total Pages | : 313 |
Release | : 2014-01-14 |
Genre | : Psychology |
ISBN | : 1317782399 |
The modern study of cognition finds itself with two widely endorsed but seemingly incongruous theoretical paradigms. The first of these, inspired by formal logic and the digital computer, sees reasoning in the principled manipulation of structured symbolic representations. The second, inspired by the physiology of the brain, sees reasoning as the behavior that emerges from the direct interactions found in large networks of simple processing components. Each paradigm has its own accomplishments, problems, methodology, proponents, and agenda. This book records the thoughts of researchers -- from both computer science and philosophy -- on resolving the debate between the symbolic and connectionist paradigms. It addresses theoretical and methodological issues throughout, but at the same time exhibits the current attempts of practicing cognitive scientists to solve real problems.
Author | : John Dinsmore |
Publisher | : Psychology Press |
Total Pages | : 316 |
Release | : 2014-01-14 |
Genre | : Psychology |
ISBN | : 1317782380 |
The modern study of cognition finds itself with two widely endorsed but seemingly incongruous theoretical paradigms. The first of these, inspired by formal logic and the digital computer, sees reasoning in the principled manipulation of structured symbolic representations. The second, inspired by the physiology of the brain, sees reasoning as the behavior that emerges from the direct interactions found in large networks of simple processing components. Each paradigm has its own accomplishments, problems, methodology, proponents, and agenda. This book records the thoughts of researchers -- from both computer science and philosophy -- on resolving the debate between the symbolic and connectionist paradigms. It addresses theoretical and methodological issues throughout, but at the same time exhibits the current attempts of practicing cognitive scientists to solve real problems.
Author | : Achim G. Hoffmann |
Publisher | : Springer Science & Business Media |
Total Pages | : 350 |
Release | : 1998-09 |
Genre | : Computers |
ISBN | : 9789813083974 |
This book presents a new methodological analysis of two competing research paradigms of artificial intelligence and cognitive science-the symbolic versus the connectionist paradigms. Providing an accessible introduction to the fundamentals of both paradigms, the book derives new objectives for future research that will help to integrate aspects of both areas to obtain more powerful AI techniques and to promote a deeper understanding of cognition.
Author | : Uwe Engel |
Publisher | : Taylor & Francis |
Total Pages | : 417 |
Release | : 2021-11-10 |
Genre | : Computers |
ISBN | : 1000448584 |
The Handbook of Computational Social Science is a comprehensive reference source for scholars across multiple disciplines. It outlines key debates in the field, showcasing novel statistical modeling and machine learning methods, and draws from specific case studies to demonstrate the opportunities and challenges in CSS approaches. The Handbook is divided into two volumes written by outstanding, internationally renowned scholars in the field. This first volume focuses on the scope of computational social science, ethics, and case studies. It covers a range of key issues, including open science, formal modeling, and the social and behavioral sciences. This volume explores major debates, introduces digital trace data, reviews the changing survey landscape, and presents novel examples of computational social science research on sensing social interaction, social robots, bots, sentiment, manipulation, and extremism in social media. The volume not only makes major contributions to the consolidation of this growing research field but also encourages growth in new directions. With its broad coverage of perspectives (theoretical, methodological, computational), international scope, and interdisciplinary approach, this important resource is integral reading for advanced undergraduates, postgraduates, and researchers engaging with computational methods across the social sciences, as well as those within the scientifi c and engineering sectors.
Author | : Ron Sun |
Publisher | : Psychology Press |
Total Pages | : 391 |
Release | : 2013-04-15 |
Genre | : Psychology |
ISBN | : 1134802064 |
A variety of ideas, approaches, and techniques exist -- in terms of both architecture and learning -- and this abundance seems to lead to many exciting possibilities in terms of theoretical advances and application potentials. Despite the apparent diversity, there is clearly an underlying unifying theme: architectures that bring together symbolic and connectionist models to achieve a synthesis and synergy of the two different paradigms, and the learning and knowledge acquisition methods for developing such architectures. More effort needs to be extended to exploit the possibilities and opportunities in this area. This book is the outgrowth of The IJCAI Workshop on Connectionist-Symbolic Integration: From Unified to Hybrid Approaches, held in conjunction with the fourteenth International Joint Conference on Artificial Intelligence (IJCAI '95). Featuring various presentations and discussions, this two-day workshop brought to light many new ideas, controversies, and syntheses which lead to the present volume. This book is concerned with the development, analysis, and application of hybrid connectionist-symbolic models in artificial intelligence and cognitive science. Drawing contributions from a large international group of experts, it describes and compares a variety of models in this area. The types of models discussed cover a wide range of the evolving spectrum of hybrid models, thus serving as a well-balanced progress report on the state of the art. As such, this volume provides an information clearinghouse for various proposed approaches and models that share the common belief that connectionist and symbolic models can be usefully combined and integrated, and such integration may lead to significant advances in understanding intelligence.
Author | : T. Horgan |
Publisher | : Springer Science & Business Media |
Total Pages | : 484 |
Release | : 2012-12-06 |
Genre | : Computers |
ISBN | : 940113524X |
This series will include monographs and collections of studies devoted to the investigation and exploration of knowledge, information and data processing systems of all kinds, no matter whether human, (other) animal, or machine. Its scope is intended to span the full range of interests from classical problems in the philosophy of mind and philosophical psychology through issues in cognitive psychology and sociobiology (concerning the mental capabilities of other species) to ideas related to artificial intelligence and to computer science. While primary emphasis will be placed upon theoretical, conceptual and epistemological aspects of these problems and domains, empirical, experimental and methodological studies will also appear from time to time. One of the most, if not the most, exciting developments within cognitive science has been the emergence of connectionism as an alternative to the computational conception of the mind that tends to dominate the discipline. In this volume, John Tienson and Terence Horgan have brought together a fine collection of stimulating studies on connectionism and its significance. As the Introduction explains, the most pressing questions concern whether or not connectionism can provide a new conception of the nature of mentality. By focusing on the similarities and differences between connectionism and other approaches to cognitive science, the chapters of this book supply valuable resources that advance our understanding of these difficult issues. J.H.F.
Author | : Tiansi Dong |
Publisher | : Springer Nature |
Total Pages | : 155 |
Release | : 2020-08-24 |
Genre | : Technology & Engineering |
ISBN | : 3030562751 |
The unification of symbolist and connectionist models is a major trend in AI. The key is to keep the symbolic semantics unchanged. Unfortunately, present embedding approaches cannot. The approach in this book makes the unification possible. It is indeed a new and promising approach in AI. -Bo Zhang, Director of AI Institute, Tsinghua It is indeed wonderful to see the reviving of the important theme Nural Symbolic Model. Given the popularity and prevalence of deep learning, symbolic processing is often neglected or downplayed. This book confronts this old issue head on, with a historical look, incorporating recent advances and new perspectives, thus leading to promising new methods and approaches. -Ron Sun (RPI), on Governing Board of Cognitive Science Society Both for language and humor, approaches like those described in this book are the way to snickerdoodle wombats. -Christian F. Hempelmann (Texas A&M-Commerce) on Executive Board of International Society for Humor Studies
Author | : Dragan Gaševic |
Publisher | : Springer Science & Business Media |
Total Pages | : 385 |
Release | : 2009-06-12 |
Genre | : Computers |
ISBN | : 364200282X |
Defining a formal domain ontology is considered a useful, not to say necessary step in almost every software project. This is because software deals with ideas rather than with self-evident physical artefacts. However, this development step is hardly ever done, as ontologies rely on well-defined and semantically powerful AI concepts such as description logics or rule-based systems, and most software engineers are unfamiliar with these. This book fills this gap by covering the subject of MDA application for ontology development on the Semantic Web. The writing is technical yet clear, and is illustrated with examples. The book is supported by a website.
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 | : Vincent C. Müller |
Publisher | : Springer Science & Business Media |
Total Pages | : 413 |
Release | : 2012-08-23 |
Genre | : Technology & Engineering |
ISBN | : 3642316743 |
Can we make machines that think and act like humans or other natural intelligent agents? The answer to this question depends on how we see ourselves and how we see the machines in question. Classical AI and cognitive science had claimed that cognition is computation, and can thus be reproduced on other computing machines, possibly surpassing the abilities of human intelligence. This consensus has now come under threat and the agenda for the philosophy and theory of AI must be set anew, re-defining the relation between AI and Cognitive Science. We can re-claim the original vision of general AI from the technical AI disciplines; we can reject classical cognitive science and replace it with a new theory (e.g. embodied); or we can try to find new ways to approach AI, for example from neuroscience or from systems theory. To do this, we must go back to the basic questions on computing, cognition and ethics for AI. The 30 papers in this volume provide cutting-edge work from leading researchers that define where we stand and where we should go from here.