Intelligent Agents and Multi-Agent Systems

The world’s industries are moving into the ‘new economy’ of electronic market. The success of this move depends on efficient and reliable management of the business processes that will drive the e-Market’s valuechain. Efficiency can only be achieved through automation. Reliability will be achieved by reliable and dependable process management systems. These electronic trans-corporate processes cover the range from basic business transactions, workflows to sophisticated business processes that rely on a high level of personalisation. Management of these processes requires safety critical computer systems that can survive local catastrophes. Multi-agent systems have this level of dependability and personalisation. An analysis of the full range of processes is followed by an implementation framework for their management using a powerful multiagent architecture.

[1]  Pattie Maes,et al.  Social information filtering: algorithms for automating “word of mouth” , 1995, CHI '95.

[2]  Michael P. Wellman,et al.  Auction Protocols for Decentralized Scheduling , 2001, Games Econ. Behav..

[3]  Jennifer Widom,et al.  The TSIMMIS Project: Integration of Heterogeneous Information Sources , 1994, IPSJ.

[4]  Victor R. Lesser,et al.  The Soft Real-Time Agent Control Architecture , 2005, Autonomous Agents and Multi-Agent Systems.

[5]  Patricia Charlton,et al.  Agentcities: A Worldwide Open Agent Network , 2001 .

[6]  R. Stephenson.  A and V , 1962, The British journal of ophthalmology.

[7]  John Riedl,et al.  Analysis of recommendation algorithms for e-commerce , 2000, EC '00.

[8]  Jaideep Srivastava,et al.  Web usage mining: discovery and applications of usage patterns from Web data , 2000, SKDD.

[9]  Stephen Soderland,et al.  Learning Information Extraction Rules for Semi-Structured and Free Text , 1999, Machine Learning.

[10]  Terrence Harvey.  Problems in Heterogeneous Knowledge Source Integration: TraumaGEN and the Metathesaurus* , 1998 .

[11]  Udi Manber,et al.  Introduction to algorithms , 1989 .

[12]  Jaideep Srivastava,et al.  Automatic personalization based on Web usage mining , 2000, CACM.

[13]  José M. Molina López,et al.  Solving Travel Problems by Integrating WEB Information with Planning , 2002, ISMIS.

[14]  John Riedl,et al.  Application of Dimensionality Reduction in Recommender System - A Case Study , 2000 .

[15]  John Riedl,et al.  GroupLens: an open architecture for collaborative filtering of netnews , 1994, CSCW '94.

[16]  Jaeyoung Yang,et al.  A Shopping Agent That Automatically Constructs Wrappers for Semi-Structured Online Vendors , 2000, IDEAL.

[17]  Viviana Mascardi,et al.  Error-Tolerant Agents , 2002, Computational Logic: Logic Programming and Beyond.

[18]  Munindar P. Singh,et al.  Multiagent Systems in Information-Rich Environments , 1998, CIA.

[19]  Eric K. Clemons,et al.  - 1-Price Dispersion and Differentiation in On-Line Travel : An Empirical Investigation forthcoming , Management Science , 2001 .

[20]  J. Hendler,et al.  The Challenges of Real-time Ai , 1995 .

[21]  Tuomas Sandholm,et al.  An Implementation of the Contract Net Protocol Based on Marginal Cost Calculations , 1993, AAAI.

[22]  Vasant Honavar,et al.  Ontology-Driven Information Extraction and Knowledge Acquisition from Heterogeneous, Distributed, Autonomous Biological Data Sources , 2001 .

[23]  Maria-Esther Vidal,et al.  Wrapper generation for Web accessible data sources , 1998, Proceedings. 3rd IFCIS International Conference on Cooperative Information Systems (Cat. No.98EX122).