Malta Convoy

Hunter, Anthony

Shankland, Peter

Children's Books

Collins

This text is intended to highlight the significance of uncertainty in the management of information, introduce methods of modelling uncertain information and discuss current and potential applications of such methods in information systems. It provides the reader with the following: a discussion of the kinds of information that are problematical; a discussion of the ways this impinges upon systems, eg. null values in relational databases; heuristics in rule-based decision-support systems; vagueness of keywords used in information retrieval; and appropriateness of cases selected in case-based decision-support. It also provides an exposition of means of modelling uncertain information including probability theory, possibility theory, fuzzy set theory and non-classical logics, and a review of the current and potential applications of handling uncertainty in information systems.

Uncertainty in Information Systems: An Introduction to Techniques and Applications

Computers & Technology

Software

McGraw-Hill Book Co Ltd

Background and techniques for formalizing deductive argumentation in a logic-based framework for artificial intelligence.
Logic-based formalizations of argumentation, which assume a set of formulae and then lay out arguments and counterarguments that can be obtained from these formulae, have been refined in recent years in an attempt to capture more closely real-world practical argumentation. In Elements of Argumentation, Philippe Besnard and Anthony Hunter introduce techniques for formalizing deductive argumentation in artificial intelligence, emphasizing emerging formalizations for practical argumentation. Besnard and Hunter discuss how arguments can be constructed, how key intrinsic and extrinsic factors can be identified, and how these analyses can be harnessed for formalizing argumentation for use in real-world problem analysis and decision making.
The book focuses on a monological approach to argumentation, in which there is a set of possibly conflicting pieces of information (each represented by a formula) that has been collated by an agent or a pool of agents. The role of argumentation is to construct a collection of arguments and counterarguments pertaining to some particular claim of interest to be used for analysis or presentation.
Elements of Argumentation is the first book to elucidate and formalize key elements of deductive argumentation. It will be a valuable reference for researchers in computer science and artificial intelligence and of interest to scholars in such fields as logic, philosophy, linguistics, and cognitive science.

Elements of Argumentation (Mit Press)

Besnard, Philippe

Computer Science

MIT Press]

Dardanelles Patrol

History

Military

Academy Chicago Pub

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