Zobrazeno 1 - 10
of 24
pro vyhledávání: '"John D. Lowrance"'
Autor:
John D. Lowrance
Publikováno v:
Law, Probability and Risk. 6:225-240
A semi-automated approach to evidential reasoning uses template-based structured argumentation. Graphical depictions convey lines of reasoning, from evidence through to conclusions.
Publikováno v:
Journal of Experimental & Theoretical Artificial Intelligence. 7:121-152
Agents situated in dynamic and uncertain environments require several capabilities for successful operation. Such agents must monitor the world and respond appropriately to important events. The agents should be able to accept goals, synthesize compl
Publikováno v:
LISP and Symbolic Computation. 7:251-290
Grasper-CL is a system for manipulating and displaying graphs, and for building graph-based user interfaces for application programs. It is implemented in COMMON LISP and CLIM, and has been proven by use in a number of applications. Grasper-CL includ
Autor:
Robert Tynes, John D. Lowrance, Kim Holloman, Ken Murray, Ken Sharpe, Keith Grembam, Clarke K. Speed, Doug Williams
Publikováno v:
Social Computing, Behavioral-Cultural Modeling and Prediction ISBN: 9783642196553
SBP
SBP
The Socio-Cultural Analysis Tool (S-CAT) is being developed to help decision makers better understand the plausible effects of actions taken in situations where the impact of culture is both significant and subtle. We describe S-CAT in the context of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6a89cff2430f040779db5eba1bf692cd
https://doi.org/10.1007/978-3-642-19656-0_2
https://doi.org/10.1007/978-3-642-19656-0_2
Autor:
John D. Lowrance, Keith Gremban, Ken Murray, Doug Williams, Clarke K. Speed, Ken Sharpe, Kim Holloman
Publikováno v:
Advances in Human Factors and Ergonomics Series ISBN: 9781439834954
Advances in Cross-Cultural Decision Making
Advances in Cross-Cultural Decision Making
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cc757537516ec132298d59ac0e566edf
https://doi.org/10.1201/ebk1439834954-c37
https://doi.org/10.1201/ebk1439834954-c37
Publikováno v:
International Journal of Approximate Reasoning. 6:401-424
We address recent criticisms of evidential reasoning, an approach to the analysis of imprecise and uncertain information that is based on the Dempster-Shafer calculus of evidence. We show that evidential reasoning can be interpreted in terms of class
Publikováno v:
Classic Works of the Dempster-Shafer Theory of Belief Functions ISBN: 9783540253815
AAAI
AAAI
Evidential reasoning is a body of techniques that supports automated reasoning from evidence. It is based upon the Dempster-Shafer theory of belief functions. Both the formal basis and a framework for the implementation of automated reasoning systems
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b04c51ef635e83561c1c3cc2d6715237
https://doi.org/10.1007/978-3-540-44792-4_16
https://doi.org/10.1007/978-3-540-44792-4_16
Autor:
Janet Murdock, Ian Harrison, Jerome Thomere, Ken Murray, Eric Yeh, John D. Lowrance, Andres Rodriguez, Tom Boyce
Publikováno v:
Advanced Information and Knowledge Processing ISBN: 9781848001480
Advanced Information and Knowledge Processing ISBN: 9781447164692
Advanced Information and Knowledge Processing ISBN: 9781447164692
A semiautomated approach to evidential reasoning uses template-based structured argumentation. A template captures best analytic practice as a hierarchically structured set of coordinated questions; an argument answers the questions posed by a templa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ea1a792649150c02d93d70dde97ecc40
https://doi.org/10.1007/978-1-84800-149-7_15
https://doi.org/10.1007/978-1-84800-149-7_15
Publikováno v:
2006 IEEE International Conference on Computational Intelligence for Homeland Security and Personal Safety.
Intelligence professionals work with incomplete and noisy data. Their information needs are often hard to express, and almost impossible to get right the first time. This paper describes the G EM pattern language for encoding analysts' information ne
Autor:
Douglas Yeung, John D. Lowrance
Publikováno v:
Intelligence and Security Informatics ISBN: 9783540344780
ISI
ISI
Problems of bias in intelligence analysis may be reduced by the use of web-based cognitive aids. We introduce a framework spanning the entire collaborative thought process using the Angler and SEAS (Structured Evidential Argumentation System) applica
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a8e96f16309502ecaa4402331181a816
https://doi.org/10.1007/11760146_1
https://doi.org/10.1007/11760146_1