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FLAIRS
2004
13 years 6 months ago
Developing Task Specific Sensing Strategies Using Reinforcement Learning
Robots that can adapt and perform multiple tasks promise to be a powerful tool with many applications. In order to achieve such robots, control systems have to be constructed that...
Srividhya Rajendran, Manfred Huber
CORR
2006
Springer
155views Education» more  CORR 2006»
13 years 5 months ago
Complexity and Philosophy
The science of complexity is based on a new way of thinking that stands in sharp contrast to the philosophy underlying Newtonian science, which is based on reductionism, determinis...
Francis Heylighen, Paul Cilliers, Carlos Gershenso...
ACMACE
2007
ACM
13 years 9 months ago
Motivated reinforcement learning for adaptive characters in open-ended simulation games
Recently a new generation of virtual worlds has emerged in which users are provided with open-ended modelling tools with which they can create and modify world content. The result...
Kathryn Elizabeth Merrick, Mary Lou Maher
AAAI
2007
13 years 7 months ago
An Integrated Development Environment and Architecture for Soar-Based Agents
It is well known how challenging is the task of coding complex agents for virtual environments. This difficulty in developing and maintaining complex agents has been plaguing com...
Ari Yakir, Gal A. Kaminka
ECTEL
2006
Springer
13 years 9 months ago
The L2C Project: Learning to Collaborate Through Advanced SmallWorld Simulations
Abstract. L2C - Learning to Collaborate - is an ongoing research project addressing the design of effective immersive simulation-based learning experiences supporting the developme...
Albert A. Angehrn, Thierry Nabeth