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081101s2008 caua fsb 000 0 eng d |
| 020 |
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|a 9781598295450 (electronic bk.)
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|a 9781598295442 (pbk.)
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7 |
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|a 10.2200/S00143ED1V01Y200807AIM005
|2 doi
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|a 235377841 (OCLC)
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|a (CaBNvSL)gtp00531508
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|a CaBNvSL
|c CaBNvSL
|d CaBNvSL
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|a QA76.7
|b .T453 2008
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|a 005.13
|2 22
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|a Thielscher, Michael.
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|a Action programming languages
|c Michael Thielscher.
|h [electronic resource] /
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| 250 |
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|a 1st ed.
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| 260 |
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|a San Rafael, Calif (1537 Fourth Street, San Rafael, CA 94901 USA) :
|b Morgan & Claypool Publishers,
|c 2008.
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| 300 |
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|a 1 electronic text (viii, 91 p. : ill.) :
|b digital file.
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| 490 |
1 |
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|a Synthesis lectures on artificial intelligence and machine learning,
|v #5
|x 1939-4616 ;
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| 500 |
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|a Part of: Synthesis digital library of engineering and computer science.
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| 500 |
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|a Title from PDF t.p. (viewed on Nov. 1, 2008).
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| 500 |
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|a Series from website.
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| 504 |
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|a Includes bibliographical references (p. 89-90).
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|a Introduction -- Mathematical preliminaries -- Procedural action programs -- Action programs and planning -- Declarative action programs --Reactive action programs -- Suggested further reading.
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|a Abstract freely available; full-text restricted to subscribers or individual document purchasers.
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|a Compendex
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|a INSPEC
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|a Google scholar
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|a Google book search
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|a Artificial 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.
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|a Also available in print.
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| 538 |
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|a Mode of access: World Wide Web.
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| 538 |
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|a System requirements: Adobe Acrobat Reader.
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| 650 |
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|a Intelligent agents (Computer software)
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| 650 |
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|a Knowledge representation (Information theory)
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| 650 |
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|a Programming languages (Electronic computers)
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| 690 |
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|a Agent programming.
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| 690 |
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|a Cognitive robotics.
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| 690 |
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|a Knowledge representation.
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|a Synthesis digital library of engineering and computer science.
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|a Synthesis lectures on artificial intelligence and machine learning(Online) ;
|v #5.
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4 |
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|u https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.2200/S00143ED1V01Y200807AIM005
|z View fulltext via EzAccess
|