000			03894nam a2200529 i 4500
001			6267253
003			IEEE
005			20220712204611.0
006			m o d
007			cr |n|||||||||
008			151223s1983 mau ob 001 eng d
010			_z 83007926 (print)
020			_z9780262541558 _qprint
020			_a9780262256063 _qelectronic
020			_z0262040735 _qprint
035			_a(CaBNVSL)mat06267253
035			_a(IDAMS)0b000064818b4205
040			_aCaBNVSL _beng _erda _cCaBNVSL _dCaBNVSL
050		4	_aQ335 _b.D93 1983eb
082	0	0	_a001.53/5 _219
100	1		_aDyer, Michael George, _eauthor. _921772
245	1	0	_aIn-depth understanding : _ba computer model of integrated processing for narrative comprehension / _cMichael George Dyer.
264		1	_aCambridge, Massachusetts : _bMIT Press, _cc1983.
264		2	_a[Piscataqay, New Jersey] : _bIEEE Xplore, _c[1983]
300			_a1 PDF (xvii, 458 pages).
336			_atext _2rdacontent
337			_aelectronic _2isbdmedia
338			_aonline resource _2rdacarrier
490	1		_aThe MIT Press series in artificial intelligence
500			_aIncludes index.
502			_aRevision of the author's thesis (doctoral--Yale University, 1982)
504			_aIncludes bibliographical references (p. 437-447).
506	1		_aRestricted to subscribers or individual electronic text purchasers.
520			_aThis book describes a theory of memory representation, organization, and processing for understanding complex narrative texts. The theory is implemented as a computer program called BORIS which reads and answers questions about divorce, legal disputes, personal favors, and the like. The system is unique in attempting to understand stories involving emotions and in being able to deduce adages and morals, in addition to answering fact and event based questions about the narratives it has read. BORIS also manages the interaction of many different knowledge sources such as goals, plans, scripts, physical objects, settings, interpersonal relationships, social roles, emotional reactions, and empathetic responses.The book makes several original technical contributions as well. In particular, it develops a class of knowledge constructs called Thematic Abstraction Units (TAUs) which share similarities with other representational systems such as Schank's Thematic Organization Packets and Lehnert's Plot Units. TAUs allow BORIS to represent situations which are more abstract than those captured by scripts, plans, and goals. They contain processing knowledge useful in dealing with the kinds of planning and expectation failures that characters often experience in narratives; and, they often serve as episodic memory structures, organizing events which involve similar kinds of planning failures and divergent domains.An appendix contains a detailed description of a demon-based parser, a kernel of the BORIS system, as well as the actual LISP code of a microversion of this parser and a number of exercises for expanding it into a full-fledged story-understander.Michael G. Dyer is an Assistant Professor in the Department of Computer Science at UCLA. His book is included in The MIT Press Artificial Intelligence Series.
530			_aAlso available in print.
538			_aMode of access: World Wide Web
588			_aDescription based on PDF viewed 12/23/2015.
650		0	_aArtificial intelligence _xMathematical models. _921773
650		0	_aComprehension _xData processing. _921774
655		0	_aElectronic books. _93294
710	2		_aIEEE Xplore (Online Service), _edistributor. _921775
710	2		_aMIT Press, _epublisher. _921776
776	0	8	_iPrint version _z9780262541558
830		0	_aThe MIT Press series in artificial intelligence _921777
856	4	2	_3Abstract with links to resource _uhttps://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=6267253
942			_cEBK
999			_c72911 _d72911