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AIPS
2010
15 years 9 months ago
The Joy of Forgetting: Faster Anytime Search via Restarting
Anytime search algorithms solve optimisation problems by quickly finding a usually suboptimal solution and then finding improved solutions when given additional time. To deliver a...
Silvia Richter, Jordan Tyler Thayer, Wheeler Ruml
AIIDE
2007
15 years 9 months ago
Emotionally Driven Natural Language Generation for Personality Rich Characters in Interactive Games
Natural Language Generation for personality rich characters represents one of the important directions for believable agents research. The typical approach to interactive NLG is t...
Christina R. Strong, Manish Mehta, Kinshuk Mishra,...
AIPS
2007
15 years 9 months ago
Angelic Semantics for High-Level Actions
High-level actions (HLAs) lie at the heart of hierarchical planning. Typically, an HLA admits multiple refinements into primitive action sequences. Correct descriptions of the ef...
Bhaskara Marthi, Stuart J. Russell, Jason Wolfe
FLAIRS
2008
15 years 9 months ago
Win, Lose, or Get Out the Way - Eliminating Unnecessary Evaluation in Game Search
In this paper we present our approach of improving the traditional alpha-beta search process for strategic board games by modifying the method in two ways: 1) forgoing the evaluat...
Hsiu-Chin Lin, Colleen van Lent
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FLAIRS
2008
15 years 9 months ago
Learning Continuous Action Models in a Real-Time Strategy Environment
Although several researchers have integrated methods for reinforcement learning (RL) with case-based reasoning (CBR) to model continuous action spaces, existing integrations typic...
Matthew Molineaux, David W. Aha, Philip Moore