Horvitz, E. J.; Cooper, G. F.; and Heckerman, D. E. 1989. Home/Search Document Not in Database Summary Related Articles Check |
This paper is cited in the following contexts:
Combining Operations Research and Agent-Oriented Techniques .. - Piotr Gmytrasiewicz (1995) (Correct)
.... Our work brings together diverse threads in the areas of operations research and decision making in manufacturing (Ballot 1986) as well as in game theory (Aumann Brandenburger 1994; Brandenburger 1992; Brandenburger Dekel 1993; Harsanyi 1967; Mertens Zamir 1985) and artificial intelligence (Horvitz, Cooper, Heckerman 1989; Russell Wefald 1991; Cohen Levesque 1990; Fagin, Halpern, Vardi 1991; Shoham 1993) The use of artificial intelligence and autonomous agents for distributed manufacturing systems has been advocated (see (Burke Prosser 1994; Kusiak 1988; 1992; Parunak 1988; Yuta Premvuti 1990) and ....
Horvitz, E. J.; Cooper, G. F.; and Heckerman, D. E. 1989.
A Rigorous, Operational Formalization of Recursive Modeling - Gmytrasiewicz, Durfee (1995) (1 citation) (Correct)
....as they did in the simple example considered in this paper. Apart from the related work in game theory on which we have concentrated above, a large amount of work in AI should be mentioned. Due to space limitations, we selectively mention the most germane publications. Horvitz s and Russell s work (Horvitz, Cooper, Heckerman 1989; Russell Wefald 1991) is concentrated on reasoning rationally under time pressure. Closely related is the concept of practical rationality in (Pollock 1989) Our approach also follows Dennett s formulation of the intentional stance (Dennett 1986) and his idea of the ladder of agenthood (see ....
Horvitz, E. J.; Cooper, G. F.; and Heckerman, D. E. 1989.
The Lumière Project: Bayesian User Modeling .. - Horvitz, Breese.. (1998) (55 citations) Self-citation (Horvitz) (Correct)
....goals with the Excel spreadsheet application. 4 Temporal Reasoning about User Actions Bayesian user modeling from a sequence actions over time poses a challenging temporal reasoning problem. Explicit temporal reasoning adds significant complexity to probabilistic representations and inference (Cooper, Horvitz Heckerman, 1989). Investigation of temporal reasoning with dynamic Bayesian network models has focused on problems and approximations for models that consider dependencies among variables within as well as between time slices (Dean Kanazawa, 1989; Dagum, Galper Horvitz, 1992; Nicholson Brady, 1994) In ....
Cooper, G., Horvitz, E., and Heckerman, D. (1989).
Cooperating Expert Systems for the Next Generation of.. - Schwuttke, Veregge, Quan (1994) (1 citation) (Correct)
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Horvitz, E. J.; Cooper, G. F.; and Heckerman, D. E. 1989.
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