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020			_a9783540322597 _9978-3-540-32259-7
024	7		_a10.1007/b106134 _2doi
050		4	_aQ334-342
050		4	_aTA347.A78
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245	1	0	_aEnvironments for Multi-Agent Systems _h[electronic resource] : _bFirst International Workshop, E4MAS, 2004, New York, NY, July 19, 2004, Revised Selected Papers / _cedited by Danny Weyns, H. Van Dyke Parunak, Fabien Michel.
250			_a1st ed. 2005.
264		1	_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg : _bImprint: Springer, _c2005.
300			_aX, 279 p. _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 ; _v3374
505	0		_aSurvey -- Environments for Multiagent Systems State-of-the-Art and Research Challenges -- Conceptual Models -- AGRE: Integrating Environments with Organizations -- From Reality to Mind: A Cognitive Middle Layer of Environment Concepts for Believable Agents -- A Spatially Dependent Communication Model for Ubiquitous Systems -- Languages for Design and Specification -- ELMS: An Environment Description Language for Multi-agent Simulation -- MIC*: A Deployment Environment for Autonomous Agents -- Simulation and Environments -- About the Role of the Environment in Multi-agent Simulations -- Modelling Environments for Distributed Simulation -- Mediated Coordination -- Supporting Context-Aware Interaction in Dynamic Multi-agent Systems -- Environment-Based Coordination Through Coordination Artifacts -- “Exhibitionists” and “Voyeurs” Do It Better: A Shared Environment for Flexible Coordination with Tacit Messages -- Applications -- Swarming Distributed Pattern Detection and Classification -- Digital Pheromones for Coordination of Unmanned Vehicles -- Motion Coordination in the Quake 3 Arena Environment: A Field-Based Approach.
520			_aThe modern ?eld of multiagent systems has developed from two main lines of earlier research. Its practitioners generally regard it as a form of arti?cial intelligence (AI). Some of its earliest work was reported in a series of workshops in the US dating from1980,revealinglyentitled,“DistributedArti?cialIntelligence,”andpioneers often quoted a statement attributed to Nils Nilsson that “all AI is distributed. ” The locus of classical AI was what happens in the head of a single agent, and much MAS research re?ects this heritage with its emphasis on detailed modeling of the mental state and processes of individual agents. From this perspective, intelligenceisultimatelythepurviewofasinglemind,thoughitcanbeampli?ed by appropriate interactions with other minds. These interactions are typically mediated by structured protocols of various sorts, modeled on human conver- tional behavior. But the modern ?eld of MAS was not born of a single parent. A few - searchershavepersistentlyadvocatedideasfromthe?eldofarti?ciallife(ALife). These scientists were impressed by the complex adaptive behaviors of commu- ties of animals (often extremely simple animals, such as insects or even micro- ganisms). The computational models on which they drew were often created by biologists who used them not to solve practical engineering problems but to test their hypotheses about the mechanisms used by natural systems. In the ar- ?cial life model, intelligence need not reside in a single agent, but emerges at the level of the community from the nonlinear interactions among agents. - cause the individual agents are often subcognitive, their interactions cannot be modeled by protocols that presume linguistic competence.
650		0	_aArtificial intelligence.
650		0	_aComputer networks .
650	1	4	_aArtificial Intelligence.
650	2	4	_aComputer Communication Networks.
700	1		_aWeyns, Danny. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aVan Dyke Parunak, H. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aMichel, Fabien. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt
710	2		_aSpringerLink (Online service)
773	0		_tSpringer Nature eBook
776	0	8	_iPrinted edition: _z9783540245759
776	0	8	_iPrinted edition: _z9783540807742
830		0	_aLecture Notes in Artificial Intelligence, _x2945-9141 ; _v3374
856	4	0	_uhttps://doi.org/10.1007/b106134
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