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AAAI
1996
15 years 5 months ago
Knowledge-Based Navigation of Complex Information Spaces
While the explosion of on-line information has brought new opportunities for nding and using electronic data, it has also brought to the forefront the problem of isolating useful ...
Robin D. Burke, Kristian J. Hammond, Benjamin C. Y...
AAAI
1994
15 years 5 months ago
Case-Based Acquisition of User Preferences for Solution Improvement in Ill-Structured Domains
1 We have developed an approach to acquire complicated user optimization criteria and use them to guide iterative solution improvement. The eectiveness of the approach was tested ...
Katia P. Sycara, Kazuo Miyashita
IJCAI
1989
15 years 5 months ago
Coping With Uncertainty in Map Learning
In many applications in mobile robotics, it is important for a robot to explore its environment in order to construct a representation of space useful for guiding movement. We refe...
Kenneth Basye, Thomas Dean, Jeffrey Scott Vitter
AAAI
2010
15 years 5 months ago
Reasoning about Imperfect Information Games in the Epistemic Situation Calculus
Approaches to reasoning about knowledge in imperfect information games typically involve an exhaustive description of the game, the dynamics characterized by a tree and the incomp...
Vaishak Belle, Gerhard Lakemeyer
GECCO
2008
Springer
120views Optimization» more  GECCO 2008»
15 years 5 months ago
A robust evolutionary framework for multi-objective optimization
Evolutionary multi-objective optimization (EMO) methodologies, suggested in the beginning of Nineties, focussed on the task of finding a set of well-converged and well-distribute...
Kalyanmoy Deb