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008			100717s2010 gw | s |||| 0|eng d
020			_a9783642144356 _9978-3-642-14435-6
040			_cMX-MeUAM
050		4	_aTA329-348
050		4	_aTA640-643
082	0	4	_a519 _223
100	1		_aSrinivasan, Dipti. _eeditor.
245	1	0	_aInnovations in Multi-Agent Systems and Applications - 1 _h[recurso electrónico] / _cedited by Dipti Srinivasan, Lakhmi C. Jain.
264		1	_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg, _c2010.
300			_aX, 302 p. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aStudies in Computational Intelligence, _x1860-949X ; _v310
505	0		_aAn Introduction to Multi-Agent Systems -- Hybrid Multi-Agent Systems -- A Framework for Coordinated Control of Multi-Agent Systems -- A Use of Multi-Agent Intelligent Simulator to Measure the Dynamics of US Wholesale Power Trade: A Case Study of the California Electricity Crisis -- Argument Mining from RADB and Its Usage in Arguing Agents and Intelligent Tutoring System -- Grouping and Anti-predator Behaviors for Multi-agent Systems Based on Reinforcement Learning Scheme -- Multi-agent Reinforcement Learning: An Overview -- Multi-Agent Technology for Fault Tolerant and Flexible Control -- Timing Agent Interactions for Efficient Agent-Based Simulation of Socio-Technical Systems -- Group-Oriented Service Provisioning in Next-Generation Network.
520			_aThis book provides an overview of multi-agent systems and several applications that have been developed for real-world problems. Multi-agent systems is an area of distributed artificial intelligence that emphasizes the joint behaviors of agents with some degree of autonomy and the complexities arising from their interactions. Multi-agent systems allow the subproblems of a constraint satisfaction problem to be subcontracted to different problem solving agents with their own interest and goals. This increases the speed, creates parallelism and reduces the risk of system collapse on a single point of failure. Different multi-agent architectures, that are tailor-made for a specific application are possible. They are able to synergistically combine the various computational intelligent techniques for attaining a superior performance. This gives an opportunity for bringing the advantages of various techniques into a single framework. It also provides the freedom to model the behavior of the system to be as competitive or coordinating, each having its own advantages and disadvantages.
650		0	_aEngineering.
650		0	_aArtificial intelligence.
650		0	_aEngineering mathematics.
650	1	4	_aEngineering.
650	2	4	_aAppl.Mathematics/Computational Methods of Engineering.
650	2	4	_aArtificial Intelligence (incl. Robotics).
700	1		_aJain, Lakhmi C. _eeditor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9783642144349
830		0	_aStudies in Computational Intelligence, _x1860-949X ; _v310
856	4	0	_zLibro electrónico _uhttp://148.231.10.114:2048/login?url=http://link.springer.com/book/10.1007/978-3-642-14435-6
596			_a19
942			_cLIBRO_ELEC
999			_c202641 _d202641