Cooperative Information Agents VIII: 8th International Workshop, CIA 2004, Erfurt, Germany, September 27-29, 2004, Proceedings
Matthias Klusch, Sascha Ossowski, Vipul Kashyap, Rainer Unland
Springer Science & Business Media, Sep 23, 2004 - Computers - 312 pages
These are the proceedings of the 8th International Workshop on Cooperative Information Agents (CIA 2004), held at the Fair and Congress Center in - furt, Germany, September 27–29, 2004. It was part of the multi-conference Net. ObjectDays 2004, and, in particular, was co-located with the 2nd German Conference on Multiagent Systems Technologies (MATES 2004). In today’s networked world of linked heterogeneous, pervasive computer systems, devices, and information landscapes, the intelligent coordination and provision of relevant added-value information at any time, anywhere, by means of cooperative information agents becomes increasingly important for a variety of applications. An information agent is a computational software entity that has access to one or multiple, heterogeneous, and geographically dispersed data and information sources. It proactively searches for and maintains information on behalf of its human users, or other agents, preferably just in time. In other words,itismanagingandovercomingthedi?cultiesassociatedwithinformation overload in open, pervasive information and service landscapes. Cooperative - formation agents may collaborate with each other to accomplish both individual and shared joint goals depending on the actual preferences of their users, b- getary constraints, and resources available. One major challenge of developing agent-based intelligent information systems in open environments is to balance the autonomy of networked data, information, and knowledge sources with the potential payo? of leveraging them using information agents. Interdisciplinaryresearchanddevelopmentofinformationagentsrequires- pertise in relevant domains of information retrieval, arti?cial intelligence, database systems, human-computer interaction, and Internet and Web techn- ogy.
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actions actors agent communication agent communication language agent platform agent systems algorithms analysis application approach architecture Artificial Intelligence behavior bullwhip effect buyer agents calculate central clustering algorithms collaborative filtering components cooperation coordination cost CSCW Data Mining defined developed device distributed clustering distributed data documents dynamics engines environment equation equilibrium evaluation event example execution expected utility explicit ratings Figure FIPA frame framework function implementation interest centers interface Java Klusch LNAI metamodel method middle agent mobile Moyaux multi-agent systems nodes optimal ordering scheme paper parameters participatory simulation peer-to-peer peers performance personal agent prediction algorithms Q/SAH query QWSG recommender systems requesting agent reservation value retrieved RoleX scenario seller agents Semantic Web semantics sensor social network social roles specific Springer-Verlag strategy supply chain task tion trust ubiquitous computing user’s