Agent and Multi-Agent Systems in Distributed Systems - Digital Economy and E-Commerce, 2013 Studies in Computational Intelligence Series, Vol. 462

Information and communication technology, in particular artificial intelligence, can be used to support economy and commerce using digital means. This book is about agents and multi-agent distributed systems applied to digital economy and e-commerce to meet, improve, and overcome challenges in the digital economy and e-commerce sphere. Agent and multi-agent solutions are applied in implementing real-life, exciting developments associated with the need to eliminate problems of distributed systems.

The book presents solutions for both technology and applications, illustrating the possible uses of agents in the enterprise domain, covering design and analytic methods, needed to provide a solid foundation required for practical systems. More specifically, the book provides solutions for the digital economy, e-sourcing clusters in network economy, and knowledge exchange between agents applicable to online trading agents, and security solutions to both digital economy and e-commerce. Furthermore, it offers solutions for e-commerce, such as, mapping and alignment of ontologies for business, negotiation, automated auctions, recommender systems to support traders in business activities, and game simulations.

Improving multi-actor production, inventory and transportation planning through agent-based optimization.- e-Sourcing Clusters in Network Economy.- Formalization and verification of knowledge management in digital economy.- Agent-based Artificial Immune Systems (ABAIS) for Intrusion Detections: Inspiration from Danger Theory.- Enhancing security of e-commerce software using multi-agent systems.- Conceptual Ontology Intersection for Mapping and Alignment of Ontologies.- Implications and solution for high-speed business architecture.- Mathematical Models of Automated Auctions.- Generating B2C Recommendations Using a Fully Decentralized Architecture.- Simulation analysis using multi-agent systems for generalized matching pennies games.