Cognitive Reasoning
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Cognitive Reasoning
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Author : Oleg M. Anshakov
language : en
Publisher: Springer Science & Business Media
Release Date : 2010-03-11
Cognitive Reasoning written by Oleg M. Anshakov and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-03-11 with Computers categories.
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.
Neural Symbolic Cognitive Reasoning
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Author : Artur S. D'Avila Garcez
language : en
Publisher: Springer Science & Business Media
Release Date : 2009
Neural Symbolic Cognitive Reasoning written by Artur S. D'Avila Garcez and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with Computers categories.
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.
Diagrammatic Reasoning
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Author : B. Chandrasekaran
language : en
Publisher: Menlo Park, Calif. : AAAI Press
Release Date : 1995
Diagrammatic Reasoning written by B. Chandrasekaran and has been published by Menlo Park, Calif. : AAAI Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995 with Computers categories.
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
Handbook Of Cognitive Mathematics
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Author : Marcel Danesi
language : en
Publisher: Springer Nature
Release Date : 2022-10-31
Handbook Of Cognitive Mathematics written by Marcel Danesi and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-10-31 with Mathematics categories.
Cognitive mathematics provides insights into how mathematics works inside the brain and how it is interconnected with other faculties through so-called blending and other associative processes. This handbook is the first large collection of various aspects of cognitive mathematics to be amassed into a single title, covering decades of connection between mathematics and other figurative processes as they manifest themselves in language, art, and even algorithms. It will be of use to anyone working in math cognition and education, with each section of the handbook edited by an international leader in that field.
Human Reasoning And Cognitive Science
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Author : Keith Stenning
language : en
Publisher: MIT Press
Release Date : 2012-01-13
Human Reasoning And Cognitive Science written by Keith Stenning and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-01-13 with Medical categories.
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.
The Routledge International Handbook Of Research On Teaching Thinking
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Author : Rupert Wegerif
language : en
Publisher: Routledge
Release Date : 2015-05-22
The Routledge International Handbook Of Research On Teaching Thinking written by Rupert Wegerif and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-05-22 with Education categories.
The Routledge International Handbook of Research on Teaching Thinking is a comprehensive guide to research on teaching thinking. Teaching thinking is key to growing a more successful economy, is needed for increased democratic engagement and is vital for the well-being of individuals faced with the complexity of a globalised world. However, there are questions about what we mean by ‘thinking’, how best to teach it and how best to assess it, and it is these questions that this handbook explores and addresses. Containing surveys and summaries of international, cutting-edge research on every aspect of teaching thinking in a range of contexts, the handbook is thorough in its delivery, examining many different approaches and methods to help readers understand what teaching thinking is and how we can best take this movement forward. Key topics include: • Theoretical perspectives on teaching thinking • Approaches for teaching thinking • Developing creative thinking • Developing critical thinking and metacognition • The assessment of thinking • Teaching thinking in the context of STEM • Collaborative thinking and new technology • Neuro-educational research on teaching thinking This book is an essential guide for policy-makers, teachers and researchers who are interested in teaching thinking
Artificial Intelligence
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Author : Gennady S. Osipov
language : en
Publisher: Springer Nature
Release Date : 2019-10-17
Artificial Intelligence written by Gennady S. Osipov and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-10-17 with Computers categories.
This volume contains selected tutorial and young scientist school papers of the 5th RAAI Summer School on Artificial Intelligence, held in July 2019 at Institute of Physics and Technology (MIPT) campus in Dolgoprudny, a suburb of Moscow, Russia. The 11 chapters in this volume present papers focusing on various important aspects of Multiagent systems; Behavior planning; Natural language processing; Modeling of reasoning; and Machine learning and data analysis.
Hypothetical Thinking
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Author : Jonathan St. B. T. Evans
language : en
Publisher: Psychology Press
Release Date : 2007-08-07
Hypothetical Thinking written by Jonathan St. B. T. Evans and has been published by Psychology Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-08-07 with Psychology categories.
Hypothetical thought involves the imagination of possibilities and the exploration of their consequences by a process of mental simulation. In this Classic Edition, Jonathan St B T Evans’ presents his pioneering Hypothetical Thinking Theory; an integrated theoretical account of a wide range of psychological studies on hypothesis testing, reasoning, judgement and decision making. Hypothetical Thinking Theory is built on three key principles and implemented in a version of Evans' well-known heuristic–analytic theory of reasoning. The central claim of this book is that this theory can provide an integrated account of apparently diverse phenomena including confirmation bias in hypothesis testing, acceptance of fallacies in deductive reasoning, belief biases in reasoning and judgement, biases of statistical judgement and numerous characteristic findings in the study of decision making. Featuring a reflective and insightful new introduction to the book, this classic edition discusses contemporary theory on cognitive biases, human rationality and dual-process theories of higher cognition. It will be of great interest to researchers, post graduates as well as advanced undergraduate students.
Applied Biomedical Engineering Using Artificial Intelligence And Cognitive Models
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Author : Jorge Garza Ulloa
language : en
Publisher: Elsevier
Release Date : 2021-11-30
Applied Biomedical Engineering Using Artificial Intelligence And Cognitive Models written by Jorge Garza Ulloa and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-30 with Science categories.
Applied Biomedical Engineering Using Artificial Intelligence and Cognitive Models focuses on the relationship between three different multidisciplinary branches of engineering: Biomedical Engineering, Cognitive Science and Computer Science through Artificial Intelligence models. These models will be used to study how the nervous system and musculoskeletal system obey movement orders from the brain, as well as the mental processes of the information during cognition when injuries and neurologic diseases are present in the human body. The interaction between these three areas are studied in this book with the objective of obtaining AI models on injuries and neurologic diseases of the human body, studying diseases of the brain, spine and the nerves that connect them with the musculoskeletal system. There are more than 600 diseases of the nervous system, including brain tumors, epilepsy, Parkinson's disease, stroke, and many others. These diseases affect the human cognitive system that sends orders from the central nervous system (CNS) through the peripheral nervous systems (PNS) to do tasks using the musculoskeletal system. These actions can be detected by many Bioinstruments (Biomedical Instruments) and cognitive device data, allowing us to apply AI using Machine Learning-Deep Learning-Cognitive Computing models through algorithms to analyze, detect, classify, and forecast the process of various illnesses, diseases, and injuries of the human body. Applied Biomedical Engineering Using Artificial Intelligence and Cognitive Models provides readers with the study of injuries, illness, and neurological diseases of the human body through Artificial Intelligence using Machine Learning (ML), Deep Learning (DL) and Cognitive Computing (CC) models based on algorithms developed with MATLAB® and IBM Watson®. - Provides an introduction to Cognitive science, cognitive computing and human cognitive relation to help in the solution of AI Biomedical engineering problems - Explain different Artificial Intelligence (AI) including evolutionary algorithms to emulate natural evolution, reinforced learning, Artificial Neural Network (ANN) type and cognitive learning and to obtain many AI models for Biomedical Engineering problems - Includes coverage of the evolution Artificial Intelligence through Machine Learning (ML), Deep Learning (DL), Cognitive Computing (CC) using MATLAB® as a programming language with many add-on MATLAB® toolboxes, and AI based commercial products cloud services as: IBM (Cognitive Computing, IBM Watson®, IBM Watson Studio®, IBM Watson Studio Visual Recognition®), and others - Provides the necessary tools to accelerate obtaining results for the analysis of injuries, illness, and neurologic diseases that can be detected through the static, kinetics and kinematics, and natural body language data and medical imaging techniques applying AI using ML-DL-CC algorithms with the objective of obtaining appropriate conclusions to create solutions that improve the quality of life of patients
Digital Personality
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Author : Kuldeep Singh Kaswan
language : en
Publisher: CRC Press
Release Date : 2024-08-30
Digital Personality written by Kuldeep Singh Kaswan and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-30 with Computers categories.
A computer that imbibes human characteristics is considered to have a digital personality. The character is akin to real-life human with his/her distinguishing characteristics such as history, morality, beliefs, abilities, looks, and sociocultural embeddings. It also contains stable personality characteristics; fluctuating emotional, cognitive, SOAR technology, and motivational states. Digital Personality focuses on the creation of systems and interfaces that can observe, sense, predict, adapt to, affect, comprehend, or simulate the following: character based on behavior and situation, behavior based on character and situation, or situation based on character and behavior. Character sensing and profiling, character-aware adaptive systems, and artificial characters are the three primary subfields in digital personality. Digital Personality has attracted the interest of academics from a wide range of disciplines, including psychology, human-computer interaction, and character modeling. It is expected to expand quickly as technology and computer systems become more and more intertwined into our daily lives. Digital Personality is expected to draw at least as much attention as Affective Computing. The goal of affective computing is to enable computers to comprehend both spoken and nonverbal messages from people, use implicit body language, gaze, speech tones, and facial expressions, etc. to infer the emotional state and then reply appropriately or even show affect through interaction modalities. More natural and seamless human-computer connection would be the larger objective. Users will benefit from a more individualized experience as a result. Additionally, this will affect how well the user performs since they will have the assistance of the robots to do their jobs quickly and effectively. This book provides an overview of the character dimensions and how technology is aiding this area of study. It offers a fresh portrayal of character from several angles. It also discusses the applications of this new field of study.