Logic Based Artificial Intelligence
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Logic Based Artificial Intelligence
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Author : Jack Minker
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Logic Based Artificial Intelligence written by Jack Minker 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 Computers categories.
The use of mathematical logic as a formalism for artificial intelligence was recognized by John McCarthy in 1959 in his paper on Programs with Common Sense. In a series of papers in the 1960's he expanded upon these ideas and continues to do so to this date. It is now 41 years since the idea of using a formal mechanism for AI arose. It is therefore appropriate to consider some of the research, applications and implementations that have resulted from this idea. In early 1995 John McCarthy suggested to me that we have a workshop on Logic-Based Artificial Intelligence (LBAI). In June 1999, the Workshop on Logic-Based Artificial Intelligence was held as a consequence of McCarthy's suggestion. The workshop came about with the support of Ephraim Glinert of the National Science Foundation (IIS-9S2013S), the American Association for Artificial Intelligence who provided support for graduate students to attend, and Joseph JaJa, Director of the University of Maryland Institute for Advanced Computer Studies who provided both manpower and financial support, and the Department of Computer Science. We are grateful for their support. This book consists of refereed papers based on presentations made at the Workshop. Not all of the Workshop participants were able to contribute papers for the book. The common theme of papers at the workshop and in this book is the use of logic as a formalism to solve problems in AI.
Correct Reasoning
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Author : Esra Erdem
language : en
Publisher: Springer
Release Date : 2012-06-03
Correct Reasoning written by Esra Erdem and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-06-03 with Mathematics categories.
This Festschrift published in honor of Vladimir Lifschitz on the occasion of his 65th birthday presents 39 articles by colleagues from all over the world with whom Vladimir Lifschitz had cooperation in various respects. The 39 contributions reflect the breadth and the depth of the work of Vladimir Lifschitz in logic programming, circumscription, default logic, action theory, causal reasoning and answer set programming.
From Natural Language Processing To Logic For Expert Systems
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Author : Jean-Louis Binot
language : en
Publisher:
Release Date : 1991-08-21
From Natural Language Processing To Logic For Expert Systems written by Jean-Louis Binot and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1991-08-21 with Computers categories.
Covers some of the most significant applications of artificial intelligence, namely: natural language processing, speech understanding, expert system design, requirement engineering, machine learning, truth maintenance systems, advanced concepts and methods of logic programming. Together with the previous two volumes edited by Thayse, this completes a comprehensive exposition of the subject of logics applied to AI.
From Standard Logic To Logic Programming
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Author : Paul Gochet
language : en
Publisher:
Release Date : 1988-09-08
From Standard Logic To Logic Programming written by Paul Gochet and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1988-09-08 with Computers categories.
Logic; Predicate calculus; Axiomatic systems; Knowledge representation and reasoning; Logic and revisable reasoning; Formal grammars and logic programming; Prolog and logic programming.
Design Of Logic Based Intelligent Systems
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Author : Klaus Truemper
language : en
Publisher: John Wiley & Sons
Release Date : 2004-05-20
Design Of Logic Based Intelligent Systems written by Klaus Truemper and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-05-20 with Technology & Engineering categories.
Principles for constructing intelligent systems Design of Logic-based Intelligent Systems develops principles and methods for constructing intelligent systems for complex tasks that are readily done by humans but are difficult for machines. Current Artificial Intelligence (AI) approaches rely on various constructs and methods (production rules, neural nets, support vector machines, fuzzy logic, Bayesian networks, etc.). In contrast, this book uses an extension of propositional logic that treats all aspects of intelligent systems in a unified and mathematically compatible manner. Topics include: * Levels of thinking and logic * Special cases: expert systems and intelligent agents * Formulating and solving logic systems * Reasoning under uncertainty * Learning logic formulas from data * Nonmonotonic and incomplete reasoning * Question-and-answer processes * Intelligent systems that construct intelligent systems Design of Logic-based Intelligent Systems is both a handbook for the AI practitioner and a textbook for advanced undergraduate and graduate courses on intelligent systems. Included are more than forty algorithms, and numerous examples and exercises. The purchaser of the book may obtain an accompanying software package (Leibniz System) free of charge via the internet at leibnizsystem.com.
Design Of Logic Based Intelligent Systems
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Author : K. Truemper
language : en
Publisher:
Release Date : 2004
Design Of Logic Based Intelligent Systems written by K. Truemper and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with Artificial intelligence categories.
Principles for constructing intelligent systems Design of Logic-based Intelligent Systems develops principles and methods for constructing intelligent systems for complex tasks that are readily done by humans but are difficult for machines. Current Artificial Intelligence (AI) approaches rely on various constructs and methods (production rules, neural nets, support vector machines, fuzzy logic, Bayesian networks, etc.). In contrast, this book uses an extension of propositional logic that treats all aspects of intelligent systems in a unified and mathematically compatible manner. Topics include: Levels of thinking and logic Special cases: expert systems and intelligent agents Formulating and solving logic systems Reasoning under uncertainty Learning logic formulas from data Nonmonotonic and incomplete reasoning Question-and-answer processes Intelligent systems that construct intelligent systems Design of Logic-based Intelligent Systems is both a handbook for the AI practitioner and a textbook for advanced undergraduate and graduate courses on intelligent systems. Included are more than forty algorithms, and numerous examples and exercises.; The purchaser of the book may obtain an accompanying software package (Leibniz System) free of charge via the internet at leibnizsystem.com.
A I
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Author : Daniel Lucas
language : en
Publisher: Independently Published
Release Date : 2023-09-09
A I written by Daniel Lucas and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-09 with categories.
Artificial Intelligence (AI) is a multidisciplinary branch of computer science that aims to create systems capable of performing tasks that would typically require human intelligence. These tasks include problem-solving, pattern recognition, planning, language understanding, and perception, among others. Logic-Based AI: In the early days of AI, the primary approach was logic-based. This means systems were designed to operate based on a set of predefined rules. Expert systems, which were dominant in the 1970s and 1980s, are classic examples of this. They relied on a base of knowledge and a set of rules to make decisions or provide answers. Learning-Based AI: With advancements in computational power and the availability of vast amounts of data, the paradigm shifted towards machine learning, a subset of AI. Instead of manually entering rules, systems are now trained using data. The system 'learns' from this data and can then make predictions or decisions based on it. This approach has powered breakthroughs in many areas, from image and speech recognition to game playing and natural language processing. Neural networks and their deep learning variants are at the forefront of this learning-based AI revolution, inspired by the human brain's structure and function. While logic-based AI systems are deterministic and can be easily explained, learning-based AI, especially deep learning, often acts as a black box, making its decision-making process less transparent. Both approaches have their advantages and challenges. Logic-based AI is clear in its reasoning but can be rigid, while learning-based AI is adaptable but can lack interpretability. Modern AI often combines aspects of both for optimal performance and reliability.
Artificial Intelligence And Computing Logic
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Author : Cyrus F. Nourani
language : en
Publisher: CRC Press
Release Date : 2021-12-23
Artificial Intelligence And Computing Logic written by Cyrus F. Nourani and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-12-23 with Computers categories.
Focusing on the cutting-edge applications of AI cognitive computing from neuromorphic to quantum cognition as applied to AI business analytics, this new volume explores AI’s importance in managing cognitive processes along with ontological modeling concepts for venturing into new business frontiers. The volume presents a selection of significant new accomplishments in the areas of AI cognitive computing ranging from neurocognition perception and decision-making in the human brain—combining neurocognitive techniques and effective computing—to basic facial recognition computing models. Topics include: Agent neurocomputing techniques for facial expression recognition Computing haptic motion and ontology epistemic Characterizations of morph schemas for visual analytics Learning and perceptive computing Functional and structural neuroimaging modeling Observed links between facial recognition and affective emotional processes Interaction of cognitive and emotional processes during social decision-making Neurocognitive processing of emotional facial expressions in individuals Neurocognitive affective system for emotive robot androids Virtual reality-based affect adaptive neuromorphic computing Executive surveys indicate that cognitive adoption is very important in business strategy for success and to remain competitive. Employing cognitive-based processes provides the way to get the right information in the right hands at the right time, which is the key to winning in the digital era and to driving business value that emphasizes competitive differentiation. Several chapters of the volume address the goal of using cognitive technology to improve search capabilities, to provide personalized customer service in business and in health and wellness, and to create better workflow management. Key features: Looks at the newest frontiers on very popular AI and analytics topics Discusses new techniques for visual analytics and data filtering Shows how AI and cognitive science merges with quantum neurocognitive computing Presents ontology models with ontology preservation data filtering techniques Provides a cross-transposition on AI and digitizations for business model innovations Artificial Intelligence and Computing Logic: Cognitive Technology for AI Business Analytics is a valuable resource that informs businesses and other enterprises the value of artificial intelligence and computing logic applications.
Logic For Programming Artificial Intelligence And Reasoning
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Author : Nachum Dershowitz
language : en
Publisher: Springer
Release Date : 2007-10-07
Logic For Programming Artificial Intelligence And Reasoning written by Nachum Dershowitz and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-10-07 with Computers categories.
This book constitutes the refereed proceedings of the 14th International Conference on Logic for Programming, Artificial Intelligence, and Reasoning, LPAR 2007, held in Yerevan, Armenia. It contains 36 revised full papers, 15 short papers and three invited talks that were carefully selected from 78 submissions. The papers address all current issues in logic programming, logic-based program manipulation, formal method, automated reasoning, and various kinds of AI logics.
Logic Based Knowledge Representation
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Author : Peter Jackson
language : en
Publisher: Mit Press
Release Date : 1989
Logic Based Knowledge Representation written by Peter Jackson and has been published by Mit Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1989 with Computers categories.
This book explores the building of expert systems using logic for knowledge representation and meta-level inference for control. It presents research done by members of the expert systems group of the Department of Artificial Intelligence in Edinburgh, often in collaboration with others, based on two hypotheses: that logic is a suitable knowledge representation language, and that an explicit representation of the control regime of the theorem prover has many advantages. The editors introduce these hypotheses and present the arguments in their favor They then describe Socrates' a tool for the construction of expert systems that is based on these assumptions. They devote the remaining chapters to the solution of problems that arise from the restrictions imposed by Socrates's representation language and from the system's inefficiency. The chapters dealing with the representation problem present a reified approach to temporal logic that makes it possible to use nonstandard logics without extending the system, and describe a general proof method for arbitrary modal logics. Those dealing with the efficiency problem discuss the technique of partial evaluation and its limitations, as well as another possible solution known as assertion-time inference. Peter Jackson is a Senior Scientist in the Department of Applied Mathematics and Computer Sciences at the McDonnell Douglas Research Laboratory in St. Louis. Han Reichgelt is a Lecturer in Department of Psychology at the University of Nottingham. Frank van Harmelen is a Research Fellow in the Mathematical Reasoning Group at the University of Edinburgh.