Infrastructure for agents, multi-agent systems, and scalable multi-agent systems
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Infrastructure for agents, multi-agent systems, and scalable multi-agent systems International Workshop on Infrastructure for Scalable Multi-Agent Systems, Barcelona, Spain, June 3-7, 2000 : revised papers by International Workshop on Infrastructure for Scalable Multi-Agent Systems (2000 Barcelona, Spain)

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Published by Springer in Berlin, New York .
Written in English

Subjects:

  • Intelligent agents (Computer software) -- Congresses

Book details:

Edition Notes

Includes bibliographical references and index

StatementTom Wagner, Omer Rana (eds.)
GenreCongresses
SeriesLecture notes in computer science -- 1887. Lecture notes in artificial intelligence, Lecture notes in computer science -- 1887, Lecture notes in computer science
ContributionsWagner, Tom, Rana, Omer
Classifications
LC ClassificationsQA76.76.I58 I593 2000
The Physical Object
Paginationix, 310 p. :
Number of Pages310
ID Numbers
Open LibraryOL17025101M
ISBN 10354042315X
LC Control Number2001042696

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Open Source, Standards and Scaleable Agencies.- Infrastructure Issues and Themes for Scalable Multi-agent Systems. Series Title: Lecture notes in computer science, Lecture notes in artificial intelligence., Responsibility: International Workshop on Infrastructure for Scalable Multi-Agent Systems, Barcelona, Spain, June ,   Get this from a library! Infrastructure for agents, multi-agent systems, and scalable multi-agent systems: International Workshop on Infrastructure for Scalable Multi-Agent Systems, Barcelona, Spain, June , revised papers. [Tom Wagner; Omer Rana;] -- "Building research grade multi-agent systems usually involves a broad variety of software infrastructure ingredients .   In: Wagner T., Rana O.F. (eds) Infrastructure for Agents, Multi-Agent Systems, and Scalable Multi-Agent Systems. AGENTS Lecture Notes in Computer Science, vol Multi-agent systems (MASs) ([5, 6, 19]) are a new and promising area in the field of distributed artificial intelligence (DAI), as well as in the mainstream computer systems are compound of relatively autonomous and intelligent parts, called agents. Even if we restrict ourselves to computer science, a word ‘agent’ has many meanings.

  In: Wagner T., Rana O.F. (eds) Infrastructure for Agents, Multi-Agent Systems, and Scalable Multi-Agent Systems. AGENTS Lecture Notes in Computer Science, vol Cited by: 1.   Nagi K. () Scalability of a Transactional Infrastructure for Multi-Agent Systems. In: Wagner T., Rana O.F. (eds) Infrastructure for Agents, Multi-Agent Systems, and Scalable Multi-Agent Systems. AGENTS Lecture Notes in Computer Science, vol Springer, Berlin, Heidelberg. First Online 18 January BibTeX @INPROCEEDINGS{Flores_anarchitecture, author = {Roberto A. Flores and Rob C. Kremer and Douglas H. Norrie}, title = {An architecture for modeling Internet-based collaborative agent systems}, booktitle = {Rana (Eds.), Infrastructure for Agents, Multi-Agent Systems, and Scalable Multi-Agent Systems, LNAI , International Workshop on Infrastructure for Scalable Multi-Agent Systems.   Multiagent systems are made up of multiple interacting intelligent agents -- computational entities to some degree autonomous and able to cooperate, compete, communicate, act flexibly, and exercise control over their behavior within the frame of their s: 7.

CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): The technical obstacles to development of the Knowledge Web are formidable. A solution to this problem will include an intelligent agent technology capable of serving limited collections of information resources. It will also provide a scalable infrastructure wherein agents can perform effectively. A multi-agent system (MAS or "self-organized system") is a computerized system composed of multiple interacting intelligent agents [citation needed].Multi-agent systems can solve problems that are difficult or impossible for an individual agent or a monolithic system to solve. Intelligence may include methodic, functional, procedural approaches, algorithmic search or reinforcement learning. Multi-agent systems can be used to solve problems that are difficult or impossible for an individual agent or a monolithic system to solve. Multi-agent systems consist of agents and their environment. the framework of strategic power infrastructure def ense (SPID) deployment of a pplications in a scalable and cost-e In a distributed 39 system, two or more agents form a multi-agent.