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Author: Oleg M. Anshakov
Publisher: Springer Science & Business Media
ISBN: 3540688757
Category : Computers
Languages : en
Pages : 424
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Book Description
Dealing with uncertainty, moving from ignorance to knowledge, is the focus of cognitive processes. Understanding these processes and modelling, designing, and building artificial cognitive systems have long been challenging research problems. This book describes the theory and methodology of a new, scientifically well-founded general approach, and its realization in the form of intelligent systems applicable in disciplines ranging from social sciences, such as cognitive science and sociology, through natural sciences, such as life sciences and chemistry, to applied sciences, such as medicine, education, and engineering. The main subject developed in the book is cognitive reasoning investigated at three levels of abstraction: conceptual, formal, and realizational. The authors offer a model of a cognizing agent for the conceptual theory of cognitive reasoning, and they also present a logically well-founded formal cognitive reasoning framework to handle the various plausible reasoning methods. They conclude with an object model of a cognitive engine. The book is suitable for researchers, scientists, and graduate students working in the areas of artificial intelligence, mathematical logic, and philosophy.
Author: Oleg M. Anshakov
Publisher: Springer Science & Business Media
ISBN: 3540688757
Category : Computers
Languages : en
Pages : 424
Get Book Here
Book Description
Dealing with uncertainty, moving from ignorance to knowledge, is the focus of cognitive processes. Understanding these processes and modelling, designing, and building artificial cognitive systems have long been challenging research problems. This book describes the theory and methodology of a new, scientifically well-founded general approach, and its realization in the form of intelligent systems applicable in disciplines ranging from social sciences, such as cognitive science and sociology, through natural sciences, such as life sciences and chemistry, to applied sciences, such as medicine, education, and engineering. The main subject developed in the book is cognitive reasoning investigated at three levels of abstraction: conceptual, formal, and realizational. The authors offer a model of a cognizing agent for the conceptual theory of cognitive reasoning, and they also present a logically well-founded formal cognitive reasoning framework to handle the various plausible reasoning methods. They conclude with an object model of a cognitive engine. The book is suitable for researchers, scientists, and graduate students working in the areas of artificial intelligence, mathematical logic, and philosophy.
Author: Artur S. D'Avila Garcez
Publisher: Springer Science & Business Media
ISBN: 3540732454
Category : Computers
Languages : en
Pages : 200
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Book Description
This book explores why, regarding practical reasoning, humans are sometimes still faster than artificial intelligence systems. It is the first to offer a self-contained presentation of neural network models for many computer science logics.
Author: Rüdiger F Pohl
Publisher: Psychology Press
ISBN: 1317448286
Category : Psychology
Languages : en
Pages : 521
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Book Description
Cognitive Illusions explores a wide range of fascinating psychological effects in the way we think, judge and remember in our everyday lives. Featuring contributions from leading researchers, the book defines what cognitive illusions are and discusses their theoretical status: are such illusions proof for a faulty human information-processing system, or do they only represent by-products of otherwise adaptive cognitive mechanisms? Throughout the book, background to phenomena such as illusions of control, overconfidence and hindsight bias are discussed, before considering the respective empirical research, potential explanations of the phenomenon, and relevant applied perspectives. Each chapter also features the detailed description of an experiment that can be used as classroom demonstration. Featuring six new chapters, this edition has been thoroughly updated throughout to reflect recent research and changes of focus within the field. This book will be of interest to students and researchers of cognitive illusions, specifically, those focusing on thinking, reasoning, decision-making and memory.
Author: B. Chandrasekaran
Publisher: Menlo Park, Calif. : AAAI Press
ISBN:
Category : Computers
Languages : en
Pages : 816
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Book Description
foreword by Herbert Simon Diagrammatic reasoning -- the understanding of concepts and ideas by the use of diagrams and imagery, as opposed to linguistic or algebraic representations -- not only allows us to gain insight into the way we think, but is a potential base for constructing representations of diagrammatic information that can be stored and processed by computers.Diagrammatic Reasoning brings together recent investigations into the cognitive, the logical, and particularly the computational characteristics of diagrammatic representations and the reasoning that can be done with them. Following a foreword by Herbert Simon and an introduction by the editors, twenty-seven chapters provide an overview of the recent history of the subject, survey and extend the underlying theory of diagrammatic representation, and provide numerous examples of diagrammatic reasoning (human and mechanical) that illustrate both its powers and its limitations.Each of the book's four sections (Historical and Philosophical Background, Theoretical Foundations, Cognitive and Computational Models, and Problem Solving with Diagrams) begins with an introduction by an eminent researcher. These introductions provide interesting personal perspectives as well as place the work in the proper context.Distributed for AAAI Press
Author: Lorenzo Magnani
Publisher: Springer Science & Business Media
ISBN: 364237428X
Category : Science
Languages : en
Pages : 633
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Book Description
This book contains contributions presented during the international conference on Model-Based Reasoning (MBR ́012), held on June 21-23 in Sestri Levante, Italy. Interdisciplinary researchers discuss in this volume how scientific cognition and other kinds of cognition make use of models, abduction, and explanatory reasoning in order to produce important or creative changes in theories and concepts. Some of the contributions analyzed the problem of model-based reasoning in technology and stressed the issues of scientific and technological innovation. The book is divided in three main parts: models, mental models, representations; abduction, problem solving and practical reasoning; historical, epistemological and technological issues. The volume is based on the papers that were presented at the international
Author: Gheorghe Tecuci
Publisher: Cambridge University Press
ISBN: 1107122562
Category : Business & Economics
Languages : en
Pages : 481
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Book Description
Using robust software, this book focuses on learning assistants for evidence-based reasoning that learn complex problem solving from humans.
Author: Susan Howell Brubaker
Publisher:
ISBN: 9780814317600
Category : Aphasic persons
Languages : en
Pages : 0
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Book Description
Directed to the rehabilitation of language dysfunction and cognitive disorders related to neurological impairment. Language tasks have been created to carry over from the clinical environment to the real world by employing the basic language and vocabulary skills used in daily activities. The exercises are appropriate for children of varying grades, brain-damaged or normal, aswell as adults.
Author: Lorenzo Magnani
Publisher: Springer
ISBN: 3319389831
Category : Philosophy
Languages : en
Pages : 674
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Book Description
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.
Author: Jonathon St. B.T. Evans
Publisher: Psychology Press
ISBN: 1135472319
Category : Psychology
Languages : en
Pages : 192
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Book Description
This book addresses an apparent paradox in the psychology of thinking. On the one hand, human beings are a highly successful species. On the other, intelligent adults are known to exhibit numerous errors and biases in laboratory studies of reasoning and decision making. There has been much debate among both philosophers and psychologists about the implications of such studies for human rationality. The authors argue that this debate is marked by a confusion between two distinct notions: (a) personal rationality (rationality1 Evans and Over argue that people have a high degree of rationality1 but only a limited capacity for rationality2. The book re-interprets the psychological literature on reasoning and decision making, showing that many normative errors, by abstract standards, reflect the operation of processes that would normally help to achieve ordinary goals. Topics discussed include relevance effects in reasoning and decision making, the influence of prior beliefs on thinking, and the argument that apparently non-logical reasoning can reflect efficient decision making. The authors also discuss the problem of deductive competence - whether people have it, and what mechanism can account for it. As the book progresses, increasing emphasis is given to the authors' dual process theory of thinking, in which a distinction between tacit and explicit cognitive systems is developed. It is argued that much of human capacity for rationality1 is invested in tacit cognitive processes, which reflect both innate mechanisms and biologically constrained learning. However, the authors go on to argue that human beings also possess an explicit thinking system, which underlies their unique - if limited - capacity to be rational.
Author: Keith Stenning
Publisher: MIT Press
ISBN: 0262293536
Category : Medical
Languages : en
Pages : 422
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Book Description
A new proposal for integrating the employment of formal and empirical methods in the study of human reasoning. In Human Reasoning and Cognitive Science, Keith Stenning and Michiel van Lambalgen—a cognitive scientist and a logician—argue for the indispensability of modern mathematical logic to the study of human reasoning. Logic and cognition were once closely connected, they write, but were “divorced” in the past century; the psychology of deduction went from being central to the cognitive revolution to being the subject of widespread skepticism about whether human reasoning really happens outside the academy. Stenning and van Lambalgen argue that logic and reasoning have been separated because of a series of unwarranted assumptions about logic. Stenning and van Lambalgen contend that psychology cannot ignore processes of interpretation in which people, wittingly or unwittingly, frame problems for subsequent reasoning. The authors employ a neurally implementable defeasible logic for modeling part of this framing process, and show how it can be used to guide the design of experiments and interpret results.
