000			03370nam a2200553 i 4500
001			6813356
003			IEEE
005			20200413152851.0
006			m||||eo||d||||||||
007			cr an |||m|||a
008			081101s2008 caua fob 000 0 eng d
020			_a9781598295450 (electronic bk.)
020			_a9781598295442 (pbk.)
024	7		_a10.2200/S00143ED1V01Y200807AIM005 _2doi
035			_a(OCoLC)235377841
035			_a(CaBNVSL)gtp00531508
040			_aCaBNVSL _cCaBNVSL _dCaBNVSL
050		4	_aQA76.7 _b.T453 2008
082	0	4	_a005.13 _222
100	1		_aThielscher, Michael.
245	1	0	_aAction programming languages _h[electronic resource] / _cMichael Thielscher.
250			_a1st ed.
260			_aSan Rafael, Calif (1537 Fourth Street, San Rafael, CA 94901 USA) : _bMorgan & Claypool Publishers, _c2008.
300			_a1 electronic text (viii, 91 p. : ill.) : _bdigital file.
490	1		_aSynthesis lectures on artificial intelligence and machine learning, _x1939-4616 ; _v#5
538			_aMode of access: World Wide Web.
538			_aSystem requirements: Adobe Acrobat Reader.
500			_aPart of: Synthesis digital library of engineering and computer science.
500			_aSeries from website.
504			_aIncludes bibliographical references (p. 89-90).
505	0		_aIntroduction -- Mathematical preliminaries -- Procedural action programs -- Action programs and planning -- Declarative action programs --Reactive action programs -- Suggested further reading.
506	1		_aAbstract freely available; full-text restricted to subscribers or individual document purchasers.
510	0		_aCompendex
510	0		_aINSPEC
510	0		_aGoogle scholar
510	0		_aGoogle book search
520			_aArtificial systems that think and behave intelligently are one of the most exciting and challenging goals of Artificial Intelligence. Action Programming is the art and science of devising high-level control strategies for autonomous systems which employ a mental model of their environment and which reason about their actions as a means to achieve their goals. Applications of this programming paradigm include autonomous software agents, mobile robots with high-level reasoning capabilities, and General Game Playing. These lecture notes give an in-depth introduction to the current state-of-the-art in action programming. The main topics are knowledge representation for actions, procedural action programming, planning, agent logic programs, and reactive, behavior-based agents. The only prerequisite for understanding the material in these lecture notes is some general programming experience and basic knowledge of classical first-order logic.
530			_aAlso available in print.
588			_aTitle from PDF t.p. (viewed on Nov. 1, 2008).
650		0	_aIntelligent agents (Computer software)
650		0	_aKnowledge representation (Information theory)
650		0	_aProgramming languages (Electronic computers)
690			_aAgent programming.
690			_aCognitive robotics.
690			_aKnowledge representation.
730	0		_aSynthesis digital library of engineering and computer science.
830		0	_aSynthesis lectures on artificial intelligence and machine learning(Online) ; _v#5.
856	4	2	_3Abstract with links to resource _uhttp://ieeexplore.ieee.org/servlet/opac?bknumber=6813356
999			_c561632 _d561632