Formalizing Common Sense

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Formalizing Common Sense

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Author : John McCarthy
language : en
Publisher: Intellect Books
Release Date : 1990

Formalizing Common Sense written by John McCarthy and has been published by Intellect Books this book supported file pdf, txt, epub, kindle and other format this book has been release on 1990 with Computers categories.

This is a collection of papers written by John McCarthy on artificial intelligence. The papers range from informal surveys written for a general audience to technical discussions of research problems that should be of interest to specialists.

Common Sense Reasoning And Rationality

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Author : Renee Elio
language : en
Publisher: Oxford University Press
Release Date : 2002-02-07

Common Sense Reasoning And Rationality written by Renee Elio and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002-02-07 with Philosophy categories.

As the eleventh volume in the New Directions in Cognitive Science series (formerly the Vancouver Studies in Cognitive Science series), this work promises superb scholarship and interdisciplinary appeal. It addresses three areas of current and varied interest: common sense, reasoning, and rationality. While common sense and rationality often have been viewed as two distinct features in a unified cognitive map, this volume offers novel, even paradoxical, views of the relationship. Comprised of outstanding essays from distinguished philosophers, it considers what constitutes human rationality, behavior, and intelligence covering diverse areas of philosophy, psychology, cognitive science, and computer science. Indeed, it is at the forefront of cognitive research and promises to be of unprecedented influence across numerous disciplines.

Commonsense Reasoning

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Author : Erik T. Mueller
language : en
Publisher: Elsevier
Release Date : 2010-07-26

Commonsense Reasoning written by Erik T. Mueller and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-07-26 with Computers categories.

To endow computers with common sense is one of the major long-term goals of Artificial Intelligence research. One approach to this problem is to formalize commonsense reasoning using mathematical logic. Commonsense Reasoning is a detailed, high-level reference on logic-based commonsense reasoning. It uses the event calculus, a highly powerful and usable tool for commonsense reasoning, which Erik T. Mueller demonstrates as the most effective tool for the broadest range of applications. He provides an up-to-date work promoting the use of the event calculus for commonsense reasoning, and bringing into one place information scattered across many books and papers. Mueller shares the knowledge gained in using the event calculus and extends the literature with detailed event calculus solutions to problems that span many areas of the commonsense world. - Covers key areas of commonsense reasoning including action, change, defaults, space, and mental states. - The first full book on commonsense reasoning to use the event calculus. - Contextualizes the event calculus within the framework of commonsense reasoning, introducing the event calculus as the best method overall. - Focuses on how to use the event calculus formalism to perform commonsense reasoning, while existing papers and books examine the formalisms themselves. - Includes fully worked out proofs and circumscriptions for every example.

A Formal Theory Of Commonsense Psychology

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Author : Andrew S. Gordon
language : en
Publisher: Cambridge University Press
Release Date : 2017-09-07

A Formal Theory Of Commonsense Psychology written by Andrew S. Gordon and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-09-07 with Computers categories.

This book formalizes commonsense knowledge to enable artificial intelligence to understand and engage with the mental lives of people.

Agi

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Author : Maria Johnsen
language : en
Publisher: Maria Johnsen
Release Date : 2025-07-25

Agi written by Maria Johnsen and has been published by Maria Johnsen this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-25 with Computers categories.

Are you ready to see beyond the current buzz surrounding AI? While Large Language Models (LLMs) and generative tools impress us daily, they’re just the tip of the iceberg. AGI Beyond Current Models offers a profound and necessary exploration into Artificial General Intelligence (AGI), the truly human-like intelligence that promises to redefine our world. The book contains 41 chapters. What You’ll Discover: Unmasking True Intelligence: This book precisely differentiates AGI from today’s narrow AI, defining AGI as a system capable of broad knowledge, skill transfer, and solving novel problems across diverse domains – mirroring the expansive capabilities of human intelligence. Beyond Scaling: The Limits of Current AI: We critically examine the fundamental limitations of modern AI, from their reliance on statistical learning without true understanding to their susceptibility to “hallucinations” and the escalating energy and ethical costs of merely scaling up. Discover why simply “bigger” doesn’t mean “smarter.” The Missing Pieces of AGI: Explore the crucial elements missing from today’s systems, such as causality, agency, intent, and explainability. The book meticulously outlines essential AGI capabilities, including real-world grounding, continuous learning, and the vital role of common sense reasoning. The Blueprint for True AGI: Dive into concepts like meta-cognition and self-reflection, the ability to set goals and plan purposeful actions, and the pursuit of true creativity and innovation. Learn about the importance of human-like memory systems (episodic, semantic, and working memory) and the necessity of social intelligence and a Theory of Mind for AGI to understand human behavior. Ethical AI for a Better Future: Understand why alignment with human values and ethics is paramount to ensuring AGI’s goals genuinely support human well-being. Promising Paths Forward: The book investigates exciting avenues toward AGI, including hybrid models blending symbolic and neural methods, neuro-inspired architectures, developmental learning, and novel algorithms that go beyond traditional approaches. Navigating the Future: Finally, we confront the profound societal implications of AGI, discussing how to benchmark progress, manage potential risks like the “singleton problem,” and foster interdisciplinary collaboration to responsibly shape the future of AGI and its impact on humanity. Why This Book Now? As AI rapidly evolves, understanding the distinction between what we have and what’s possible has never been more critical. Whether you’re an AI enthusiast, a researcher, a policymaker, or simply curious about the future of intelligence, AGI – Beyond Current Models provides the clarity and depth you need to navigate this transformative era. For AI Professionals and Innovators: This work critically evaluates the ambitions and technical realities of key AI initiatives, including Meta’s Superintelligence Project, Google Gemini, and OpenAI’s GPTs. Through a direct comparison, I illuminate their respective contributions to the current AI paradigm and assess their potential paths toward artificial general intelligence. If you work at one of these pioneering companies, or indeed any organization developing advanced AI, you will discover actionable insights and strategic considerations for product improvements. This book is designed to help you: Identify overlooked limitations in current approaches. Uncover opportunities for innovative feature development by understanding AGI’s foundational elements. Refine your product roadmap with a clearer vision of long-term AGI capabilities. Enhance user trust and adoption by prioritizing explainability, ethical alignment, and robust learning mechanisms. Gain a competitive edge by anticipating future shifts in the AI landscape and aligning your development with true intelligence. Security and Defenses of AI and AGI ( more details can be found in my other book called ( Attacks and Defenses in Robust Machine Learning) ) Don’t just observe the future of AI, understand it. Get your copy of AGI -Beyond Current Models

Bayesian Rationality

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Author : Mike Oaksford
language : en
Publisher: Oxford University Press
Release Date : 2007-02-22

Bayesian Rationality written by Mike Oaksford and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-02-22 with Philosophy categories.

For almost 2,500 years, the Western concept of what is to be human has been dominated by the idea that the mind is the seat of reason - humans are, almost by definition, the rational animal. In this text a more radical suggestion for explaining these puzzling aspects of human reasoning is put forward.

Principles Of Knowledge Representation And Reasoning

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Author : Luigia Carlucci Aiello
language : en
Publisher: Morgan Kaufmann
Release Date : 1996

Principles Of Knowledge Representation And Reasoning written by Luigia Carlucci Aiello and has been published by Morgan Kaufmann this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996 with Computers categories.

Logic Language And Computation

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Author : S. Akama
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06

Logic Language And Computation written by S. Akama 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 2012-12-06 with Philosophy categories.

The editors of the Applied Logic Series are happy to present to the reader the fifth volume in the series, a collection of papers on Logic, Language and Computation. One very striking feature of the application of logic to language and to computation is that it requires the combination, the integration and the use of many diverse systems and methodologies - all in the same single application. The papers in this volume will give the reader a glimpse into the problems of this active frontier of logic. The Editors CONTENTS Preface IX 1. S. AKAMA Recent Issues in Logic, Language and Computation 1 2. M. J. CRESSWELL Restricted Quantification 27 3. B. H. SLATER The Epsilon Calculus' Problematic 39 4. K. VON HEUSINGER Definite Descriptions and Choice Functions 61 5. N. ASHER Spatio-Temporal Structure in Text 93 6. Y. NAKAYAMA DRT and Many-Valued Logics 131 7. S. AKAMA On Constructive Modality 143 8. H. W ANSING Displaying as Temporalizing: Sequent Systems for Subintuitionistic Logics 159 9. L. FARINAS DEL CERRO AND V. LUGARDON 179 Quantification and Dependence Logics 10. R. SYLVAN Relevant Conditionals, and Relevant Application Thereof 191 Index 245 Preface This is a collection of papers by distinguished researchers on Logic, Lin guistics, Philosophy and Computer Science. The aim of this book is to address a broad picture of the recent research on related areas. In particular, the contributions focus on natural language semantics and non-classical logics from different viewpoints.

Models Of Simon

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Author : Kumaraswamy Vela Velupillai
language : en
Publisher: Routledge
Release Date : 2017-11-22

Models Of Simon written by Kumaraswamy Vela Velupillai and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-11-22 with Business & Economics categories.

Herbert Simon (1916-2001) is mostly celebrated for the theory of bounded rationality and satisficing. This book of essays on Models of Simon tackles these topics that the he broached in a professional career spanning more than 60 years. Expository material on the fundamental concepts he introduced are re-interpreted in terms of the theory of computability. This volume frames the behavioural issues of concern for economists, such as: hierarchy, causality, near-diagonal linear dynamical systems, discovery, the contrasts between the notion of heuristics, and the Church-Turing Thesis of Computability Theory. There is, consistently, an emphasis on the historical origins of the concepts Simon worked with, in emphasising Human Problem Solving and Decision Making – by rational individuals and institutions (like Organizations). The main feature of the results in the book are its emphasis on the procedural aspects of human problem solving, decision making and the remarkable way Simon harnessed many tools of mathematical logic, mathematics, cognitive sciences, economics and econometrics. This long-awaited volume is an important read for those who study economic theory and philosophy, microeconomics and political economy, as well as those interested in the great Herbert Simon’s work.

Handbook Of Knowledge Representation

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Author : Frank van Harmelen
language : en
Publisher: Elsevier
Release Date : 2008-01-08

Handbook Of Knowledge Representation written by Frank van Harmelen and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-01-08 with Computers categories.

Handbook of Knowledge Representation describes the essential foundations of Knowledge Representation, which lies at the core of Artificial Intelligence (AI). The book provides an up-to-date review of twenty-five key topics in knowledge representation, written by the leaders of each field. It includes a tutorial background and cutting-edge developments, as well as applications of Knowledge Representation in a variety of AI systems. This handbook is organized into three parts. Part I deals with general methods in Knowledge Representation and reasoning and covers such topics as classical logic in Knowledge Representation; satisfiability solvers; description logics; constraint programming; conceptual graphs; nonmonotonic reasoning; model-based problem solving; and Bayesian networks. Part II focuses on classes of knowledge and specialized representations, with chapters on temporal representation and reasoning; spatial and physical reasoning; reasoning about knowledge and belief; temporal action logics; and nonmonotonic causal logic. Part III discusses Knowledge Representation in applications such as question answering; the semantic web; automated planning; cognitive robotics; multi-agent systems; and knowledge engineering. This book is an essential resource for graduate students, researchers, and practitioners in knowledge representation and AI. * Make your computer smarter* Handle qualitative and uncertain information* Improve computational tractability to solve your problems easily