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» Complexity of Agents and Complexity of Markets
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GECCO
2009
Springer
151views Optimization» more  GECCO 2009»
16 years 27 days ago
Evolution of functional specialization in a morphologically homogeneous robot
A central tenet of embodied artificial intelligence is that intelligent behavior arises out of the coupled dynamics between an agent’s body, brain and environment. It follows t...
Joshua S. Auerbach, Josh C. Bongard
AAAI
2008
15 years 8 months ago
An Effective and Robust Method for Short Text Classification
Classification of texts potentially containing a complex and specific terminology requires the use of learning methods that do not rely on extensive feature engineering. In this w...
Victoria Bobicev, Marina Sokolova
DAGM
2003
Springer
15 years 11 months ago
Learning Human-Like Opponent Behavior for Interactive Computer Games
Compared to their ancestors in the early 1970s, present day computer games are of incredible complexity and show magnificent graphical performance. However, in programming intelli...
Christian Bauckhage, Christian Thurau, Gerhard Sag...
GECCO
2009
Springer
103views Optimization» more  GECCO 2009»
16 years 27 days ago
GAMA (genetic algorithm driven multi-agents)for e-commerce integrative negotiation
Software agents help automate a variety of tasks including those involved in buying and selling products over the internet. The need for handling complex highly configurable produ...
Magda Bahaa Eldin Fayek, Ihab A. Talkhan, Khalil S...
EUROCAST
2007
Springer
182views Hardware» more  EUROCAST 2007»
16 years 15 days ago
A k-NN Based Perception Scheme for Reinforcement Learning
Abstract a paradigm of modern Machine Learning (ML) which uses rewards and punishments to guide the learning process. One of the central ideas of RL is learning by “direct-online...
José Antonio Martin H., Javier de Lope Asia...