Sciweavers

AAAI
1996
13 years 6 months ago
Agent Cooperation Can Compensate For Agent Ignorance in Constraint Satisfaction
A team of constraint agents with diverse viewpoints canfind a solution to a constraint satisfaction problem (CSP) whenthe individual agents have an incomplete viewof the problem.I...
Peggy S. Eaton, Eugene C. Freuder
AAAI
1996
13 years 6 months ago
Interactive Information Retrieval Systems with Minimalist Representation
Almost any information you might want is becoming available on-line. The problem is how to find what you need. One strategy to improve access to existing information sources, is i...
Eric A. Domeshek, Smadar Kedar, Andrew S. Gordon
AAAI
1996
13 years 6 months ago
Declarative Camera Control for Automatic Cinematography
Animations generated by interactive 3D computer graphics applications are typically portrayed either from a particular character's point of view or from a small set of strate...
David B. Christianson, Sean E. Anderson, Li-wei He...
AAAI
1996
13 years 6 months ago
A Clinician's Tool for Analyzing Non-Compliance
We describe a computer program to assist a clinician with assessing the e cacy of treatments in experimental studies for which treatment assignment is random but subject complianc...
David Maxwell Chickering, Judea Pearl
AAAI
1996
13 years 6 months ago
Goal Oriented Symbolic Propagation in Bayesian Networks
The paper presents an efficient goal oriented algorithm for symbolic propagation in Bayesian networks. The proposed algorithm performs symbolic propagation using numerical methods...
Enrique Castillo, José Manuel Gutiér...
AAAI
1996
13 years 6 months ago
Nearly Monotonic Problems: A Key to Effective FA/C Distributed Sensor Interpretation?
The fesractioncslly-Qcczdrrcate, cooperative (FA/C) distributed problem-solving paradigm is one approach for organizing distributed problem solving among homogeneous, cooperating ...
Norman Carver, Victor R. Lesser, Robert Whitehair
AAAI
1996
13 years 6 months ago
Incorporating Opponent Models into Adversary Search
This work presents a generalized theoretical framework that allows incorporation of opponent models into adversary search. We present the M algorithm, a generalization of minimax ...
David Carmel, Shaul Markovitch
AAAI
1996
13 years 6 months ago
Learning Models of Intelligent Agents
Agents that operate in a multi-agent system need an efficient strategy to handle their encounters with other agents involved. Searching for an optimal interactive strategy is a ha...
David Carmel, Shaul Markovitch