Explanatory Nonmonotonic Reasoning


Book Description

Many approaches in the field of nonmonotonic and ?commonsense? reasoning are actually different representations of the same basic ideas and constructions. This book gives a logical formalization of the original, explanatory approach to nonmonotonic reasoning. It uses the basic formalism of biconsequence relations, as well as derived systems of default, autoepistemic and causal inference, to cover in a single framework such diverse systems as default logic, autoepistemic and modal nonmonotonic logics, input/output and causal logics, argumentation theory, and semantics of general logic programs with negation as failure. This approach provides a clear separation between logical (monotonic) and nonmonotonic aspects of nonmonotonic reasoning. The separation allows, in particular, to single out the logics underlying modern logic programming and restore thereby the connection between logic programming and logic.




Reasons as Defaults


Book Description

In this volume, John Horty brings to bear his work in logic to present a framework that allows for answers to key questions about reasons and reasoning, namely: What are reasons, and how do they support actions or conclusions?




Logics in Artificial Intelligence


Book Description

This book presents the refereed proceedings of the Sixth European Workshop on Logics in Artificial Intelligence, JELIA '96, held in Evora, Portugal in September/October 1996. The 25 revised full papers included together with three invited papers were selected from 57 submissions. Many relevant aspects of AI logics are addressed. The papers are organized in sections on automated reasoning, modal logics, applications, nonmonotonic reasoning, default logics, logic programming, temporal and spatial logics, and belief revision and paraconsistency.




Logic Programming and Non-Monotonic Reasoning


Book Description

This is the second in a series of workshops that are bringing together researchers from the theoretical end of both the logic programming and artificial intelligence communities to discuss their mutual interests. This workshop emphasizes the relationship between logic programming and non-monotonic reasoning.Luis' Moniz Pereira is Professor in the Department of Computer Science at the Universidade Nova Lisboa, Portugal. Anil Nerode is Professor and Director of the Mathematical Sciences Institute at Cornell University.Topics include: Stable Semantics. Autoepistemic Logic. Abduction. Implementation Issues. Well-founded Semantics. Truth Maintenance. Probabilistic Theories. Applications. Default Logic. Diagnosis. Complexity and Theory. Handling Inconsistency.




Computational Logic and Proof Theory


Book Description

This book constitutes the refereed proceedings of the 5th Kurt Gödel Colloquium on Computational Logic and Proof Theory, KGC '97, held in Vienna, Austria, in August 1997. The volume presents 20 revised full papers selected from 38 submitted papers. Also included are seven invited contributions by leading experts in the area. The book documents interdisciplinary work done in the area of computer science and mathematical logics by combining research on provability, analysis of proofs, proof search, and complexity.




Nonmonotonic Reasoning


Book Description

The capability to reason in a world full of uncertainties, vagueness and ignorance is what distinguishes humans. This ability to argument in a partially known world is the informal definition of common-sense reasoning. The question how common-sense reasoning is performed occupied humanity since we can think of. Last century this issue reached an immense importance. Especially during the last three decades the study of common-sense reasoning became one of the major research topics in Artificial Intelligence (AI). Several formalisms to capture the mechanism of common-sense reasoning have been proposed so far. This book concentrates on presenting the most important formalisms for common-sense reasoning, and, showing that one of the discussed formalisms serves perfectly to capture the mechanism of common-sense reasoning, since this formalism subsumes all other in this book introduced formalisms dealing with common-sense reasoning.




Defaults in Domain Theory


Book Description




Non Monotonic Logic


Book Description

What Is Non Monotonic Logic A formal logic is said to be non-monotonic if its conclusion connection does not follow a monotonic pattern. In other words, the purpose of non-monotonic logics is to capture and represent defeasible inferences. This refers to a type of inference in which reasoners form tentative conclusions, which allows reasoners to retract their conclusion(s) based on future data. Non-monotonic logics are designed to do this.The vast majority of formal logics that have been examined have a monotonic entailment relation, which indicates that the addition of a formula to a theory does not result in the trimming of its set of conclusions. Intuitively, the concept of monotonicity suggests that acquiring new information does not have the potential to narrow the scope of what is already known. A monotonic logic is incapable of handling a variety of reasoning tasks, including reasoning by default, abductive reasoning, key approaches to reasoning about knowledge, and belief revision. How You Will Benefit (I) Insights, and validations about the following topics: Chapter 1: Non-monotonic logic Chapter 2: Abductive reasoning Chapter 3: Deductive reasoning Chapter 4: Inductive reasoning Chapter 5: Default logic Chapter 6: Belief revision Chapter 7: Defeasible reasoning Chapter 8: Defeasible logic Chapter 9: Abductive logic programming Chapter 10: Logic (II) Answering the public top questions about non monotonic logic. (III) Real world examples for the usage of non monotonic logic in many fields. (IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of non monotonic logic' technologies. Who This Book Is For Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of non monotonic logic.




Symbolic and Quantitative Approaches to Reasoning and Uncertainty


Book Description

In recent years it has become apparent that an important part of the theory of artificial intelligence is concerned with reasoning on the basis of uncertain, incomplete, or inconsistent information. A variety of formalisms have been developed, including nonmonotonic logic, fuzzy sets, possibility theory, belief functions, and dynamic models of reasoning such as belief revision and Bayesian networks. Several European research projects have been formed in the area and the first European conference was held in 1991. This volume contains the papers accepted for presentation at ECSQARU-93, the European Conference on Symbolicand Quantitative Approaches to Reasoning and Uncertainty, held at the University of Granada, Spain, November 8-10, 1993.