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020			_a9780429453151(e-book : PDF)
035			_a(OCoLC)1076543433
040			_aFlBoTFG _cFlBoTFG _erda
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072		7	_aUYQ _2bicscc
082	0	4	_a006.3 _223
100	1		_aLawless, William F., _eauthor.
245	1	0	_aComputational Context : _bThe Value, Theory and Application of Context with AI / _cby William F. Lawless, Ranjeev Mittu and Donald Sofge.
250			_aFirst edition.
264		1	_aBoca Raton, FL : _bCRC Press, _c[2018].
264		4	_c©2019.
300			_a1 online resource (328 pages) : _b96 illustrations, text file, PDF
336			_atext _2rdacontent
337			_acomputer _2rdamedia
338			_aonline resource _2rdacarrier
504			_aIncludes bibliographical references and index.
505	0	0	_tTABLE OF CONTENTS -- Introduction -- W.F. Lawless, Ranjeev Mittu, and Donald Sofge -- Learning Context through Cognitive Priming -- Laura M. Hiatt, Wallace E. Lawson, and Mark Roberts -- The Use of Contextual Knowledge in a Digital Society -- Shu-Heng Chen, and Ragupathy Venkatachalam -- Challenges with addressing the issue of context within AI and human-robot teaming -- Kristin E Schaefer, Derya Aksaray, Julia Wright, and Nicholas Roy -- Machine Learning Approach for Task Generation in Uncertain Contexts -- Luke Marsh, Iryna Dzieciuch, and Douglas S. Lange -- Creating and Maintaining a World Model for Automated Decision Making -- Hope Allen, and Donald Steiner -- Probabilistic Scene Parsing -- Michael Walton, Doug Lange, and Song-Chun Zhu -- Using Computational Context Models to Generate Robot Adaptive Interactions with Humans -- Wayne Zachary, Taylor J Carpenter, and Thomas Santarelli -- Context-Driven Proactive Decision Support: Challenges and Applications -- Manisha Mishra, David Sidoti, Gopi V. Avvari, Pujitha Mannaru, Diego F. M. Ayala, and Krishna R. Pattipati -- The Shared Story Narrative Principles for Innovative Collaboration -- Beth Cardier -- Algebraic Modeling of the Causal Break and Representation of the Decision Process in Contextual Structures -- Olivier Bartheye and Laurent Chaudron -- A Contextual Decision-Making Framework -- Eugene Santos Jr., Hien Nguyen, Keum Joo Kim, Jacob A. Russell, Gregory M. Hyde, Luke J. Veenhuis, Ramnjit S. Boparai, Luke T. De Guelle, and Hung Vu Mac -- Cyber-(in)Security, context and theory: Proactive Cyber-Defenses -- Lawless, W.F., Mittu, R., Moskowitz, I.S., Sofge, D.A. and Russell, S.
520	3		_aThis volume addresses context from three comprehensive perspectives: first, its importance, the issues surrounding context, and its value in the laboratory and the field; second, the theory guiding the AI used to model its context; and third, its applications in the field (e.g., decision-making) This breadth poses a challenge. The book analyzes how the environment (context) influences human perception, cognition and action. While current books approach context narrowly, the major contribution of this book is to provide an in-depth review over a broad range of topics for a computational context no matter its breadth. The volume outlines numerous strategies and techniques from world-class scientists who have adapted their research to solve different problems with AI, in difficult environments and complex domains to address the many computational challenges posed by context. Context can be clear, uncertain or an illusion. Clear contexts: A father praising his child; a trip to the post office to buy stamps; a policewoman asking for identification. Uncertain contexts: A sneak attack; a surprise witness in a courtroom; a shout of "Fire! Fire!" Contexts as illusion: Humans fall prey to illusions that machines do not (Adelson’s checkerboard illusion versus a photometer) Determining context is not easy when disagreement exists, interpretations vary, or uncertainty reigns. Physicists like Einstein (relativity), Bekenstein (holographs) and Rovelli (universe) have written that reality is not what we commonly believe. Even outside of awareness, individuals act differently whether alone or in teams. Can computational context with AI adapt to clear and uncertain contexts, to change over time, and to individuals, machines or robots as well as to teams? If a program automatically "knows" the context that improves performance or decisions, does it matter whether context is clear, uncertain or illusory? Written and edited by world class leaders from across the field of autonomous systems research, this volume carefully considers the computational systems being constructed to determine context for individual agents or teams, the challenges they face, and the advances they expect for the science of context.
530			_aAlso available in print format.
650		7	_aCOMPUTERS / Computer Engineering. _2bisacsh
650		7	_aMATHEMATICS / General. _2bisacsh
650		7	_aClear contexts. _2bisacsh
650		7	_aillusory contexts. _2bisacsh
650		7	_auncertain contexts. _2bisacsh
650		0	_aComputational intelligence.
650		0	_aArtificial intelligence.
650		0	_aContext-aware computing.
655		0	_aElectronic books.
700	1		_aMittu, Ranjeev, _eauthor.
700	1		_aSofge, Donald, _eauthor.
710	2		_aTaylor and Francis.
776	0	8	_iPrint version: _z9781138320642
856	4	0	_uhttps://www.taylorfrancis.com/books/9780429453151 _zClick here to view
999			_c130543 _d130543