Cover image for Distributed artificial intelligence, agent technology, and collaborative applications
Distributed artificial intelligence, agent technology, and collaborative applications
Title:
Distributed artificial intelligence, agent technology, and collaborative applications
Author:
Sugumaran, Vijayan, 1960-
ISBN:
9781605661452
Publication Information:
Hershey, Pa. : IGI Global (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA), c2009.
Physical Description:
electronic texts (xxii, 426 p. : ill.) : digital files.
Contents:
Designing multi-agent systems from logic specifications: a case study -- Multi-agent architecture for knowledge-driven decision support -- A decision support system for trust formalization -- Using misunderstanding and discussion in dialog as a knowledge acquisition or enhancement process -- Improving e-trade auction volume by consortium -- Extending loosely coupled federated information systems using agent technology -- Modeling fault tolerant and secure mobile agent execution in distributed systems -- Search engine performance comparisons -- A user-centered approach for information retrieval -- Classification and retrieval of images from databases using rough set theory -- Supporting text retrieval by typographical term weighting -- Web mining by automatically organizing web pages into categories -- Mining matrix pattern from mobile users -- Conceptual modeling of events for active information systems -- Information modeling and the problem of universals -- Empirical inference of numerical information into causal strategy models by means of artificial intelligence -- Improving mobile web navigation using n-grams prediction models -- Forecasting supply chain demand using machine learning algorithms -- Supporting demand supply network optimization with Petri nets.
Abstract:
Cutting-edge developments in artificial intelligence are now driving applications that are only hinting at the level of value they will soon contribute to organizations, consumers, and societies across all domains. This publication offers an enriched set of research articles in artificial intelligence (AI), covering significant AI subjects such as information retrieval, conceptual modeling, supply chain demand forecasting, and machine learning algorithms.
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