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020			_a9783642148439 _9978-3-642-14843-9
024	7		_a10.1007/978-3-642-14843-9 _2doi
050		4	_aQ334-342
050		4	_aTA347.A78
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072		7	_aCOM004000 _2bisacsh
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082	0	4	_a006.3 _223
245	1	0	_aProgramming Multi-Agent Systems _h[electronic resource] : _b7th International Workshop, ProMAS 2009, Budapest, Hungary, May10-15, 2009.Revised Selected Papers / _cedited by Lars Braubach, Jean-Pierre Briot, John Thangarajah.
250			_a1st ed. 2010.
264		1	_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg : _bImprint: Springer, _c2010.
300			_aXII, 285 p. 57 illus. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aLecture Notes in Artificial Intelligence, _x2945-9141 ; _v5919
505	0		_aCommunication Models -- Programming Multiagent Systems without Programming Agents -- Elements of a Business-Level Architecture for Multiagent Systems -- A Computational Semantics for Communicating Rational Agents Based on Mental Models -- Formal Models -- Multi-Agent Systems: Modeling and Verification Using Hybrid Automata -- Probabilistic Behavioural State Machines -- Golog Speaks the BDI Language -- Organizations and Environments -- A Middleware for Modeling Organizations and Roles in Jade -- An Open Architecture for Service-Oriented Virtual Organizations -- Formalising the Environment in MAS Programming: A Formal Model for Artifact-Based Environments -- Analysis and Debugging -- Debugging BDI-Based Multi-Agent Programs -- Space-Time Diagram Generation for Profiling Multi Agent Systems -- Infrastructure for Forensic Analysis of Multi-Agent Based Simulations -- Agent Architectures -- Representing Long-Term and Interest BDI Goals -- Introducing Relevance Awareness in BDI Agents -- Modularity and Compositionality in Jason -- Applications -- A MultiAgent System for Monitoring Boats in Marine Reserves -- Agent-Oriented Control in Real-Time Computer Games.
520			_aThe earliest work on agents may be traced at least to the ?rst conceptualization of the actor model by Carl Hewitt. In a paper in an AI conference in the early 1970s, Hewitt described actors as entities with knowledge and goals. Research on actors continued to focus on AI with the development of the Sprites model in which a monotonically growing knowledge base could be accessed by actors (inspired by what Hewitt called “the Scienti?c Computing Metaphor”). In the late1970sandwellinto 1980s,controversyragedinAIbetweenthosearguingfor declarative languages and those arguing for procedural ones. Actor researchers stood on the side of a procedural view of knowledge, arguing for an open s- tems perspective rather than the closed world hypothesis necessary for a logical, declarativeview. In the open systemsview,agentshad armslength relationships and could not be expected to store consistent facts, nor could the information in a system be considered complete (the “negation as failure” model). Subsequent work on actors, including my own, focused on using actors for general purpose concurrent and distributed programming. In the late 1980s, a number of actor languages and frameworks were built. These included Act++ (in C++) by Dennis Kafura and Actalk (in Smalltalk) by Jean-Pierre Briot. In recent times, the use of the Actor model, in various guises, has proliferated as new parallel and distributed computing platforms and applications have become common:clusters,Webservices,P2Pnetworks,clientprogrammingonmulticore processors, and cloud computing.
650		0	_aArtificial intelligence.
650		0	_aComputer networks .
650		0	_aSoftware engineering.
650		0	_aComputer programming.
650		0	_aComputer simulation.
650	1	4	_aArtificial Intelligence.
650	2	4	_aComputer Communication Networks.
650	2	4	_aSoftware Engineering.
650	2	4	_aProgramming Techniques.
650	2	4	_aComputer Modelling.
700	1		_aBraubach, Lars. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aBriot, Jean-Pierre. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aThangarajah, John. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt
710	2		_aSpringerLink (Online service)
773	0		_tSpringer Nature eBook
776	0	8	_iPrinted edition: _z9783642148422
776	0	8	_iPrinted edition: _z9783642148446
830		0	_aLecture Notes in Artificial Intelligence, _x2945-9141 ; _v5919
856	4	0	_uhttps://doi.org/10.1007/978-3-642-14843-9
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