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ROBOCUP
2001
Springer
96views Robotics» more  ROBOCUP 2001»
15 years 8 months ago
Strategy Learning for a Team in Adversary Environments
Team strategy acquisition is one of the most important issues of multiagent systems, especially in an adversary environment. RoboCup has been providing such an environment for AI a...
Yasutake Takahashi, Takashi Tamura, Minoru Asada
CL
2000
Springer
15 years 8 months ago
Logic, Knowledge Representation, and Bayesian Decision Theory
In this paper I give a brief overview of recent work on uncertainty inAI, and relate it to logical representations. Bayesian decision theory and logic are both normative frameworks...
David Poole
ICCBR
2010
Springer
15 years 7 months ago
Goal-Driven Autonomy with Case-Based Reasoning
The vast majority of research on AI planning has focused on automated plan recognition, in which a planning agent is provided with a set of inputs that include an initial goal (or ...
Héctor Muñoz-Avila, Ulit Jaidee, Dav...
ATAL
2006
Springer
15 years 7 months ago
Reducing price fluctuation in continuous double auctions through pricing policy and shout improvement
Auction mechanism design is a subfield of game theory dedicated to manipulating the rules of an auction so as to achieve specific goals. The complexity of the dynamics of auctions...
Jinzhong Niu, Kai Cai, Simon Parsons, Elizabeth Sk...
124
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ACMACE
2008
ACM
15 years 6 months ago
Extracting camera-control requirements and camera movement generation in a 3D virtual environment
This paper proposes a new method to generate smooth camera movement that is collision-free in a three-dimensional virtual environment. It generates a set of cells based on cell de...
Hirofumi Hamazaki, Shinya Kitaoka, Maya Ozaki, Yos...