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AICOM
2002
103views more  AICOM 2002»
14 years 9 months ago
The emergent computational potential of evolving artificial living systems
The computational potential of artificial living systems can be studied without knowing the algorithms that govern their behavior. Modeling single organisms by means of socalled c...
Jirí Wiedermann, Jan van Leeuwen
CI
2007
130views more  CI 2007»
14 years 9 months ago
Price Dynamics, Informational Efficiency, and Wealth Distribution in Continuous Double-Auction Markets
This paper studies the properties of the continuous double auction trading mechanishm using an artificial market populated by heterogeneous computational agents. In particular, we...
Javier Gil-Bazo, David Moreno, Mikel Tapia
CORR
2002
Springer
132views Education» more  CORR 2002»
14 years 9 months ago
Exploiting Synergy Between Ontologies and Recommender Systems
Recommender systems learn about user preferences over time, automatically finding things of similar interest. This reduces the burden of creating explicit queries. Recommender sys...
Stuart E. Middleton, Harith Alani, David De Roure
NPL
2000
105views more  NPL 2000»
14 years 9 months ago
Online Interactive Neuro-evolution
In standard neuro-evolution, a population of networks is evolved in a task, and the network that best solves the task is found. This network is then fixed and used to solve future...
Adrian K. Agogino, Kenneth O. Stanley, Risto Miikk...
ALIFE
1998
14 years 9 months ago
Evolutionary Body Building: Adaptive Physical Designs for Robots
Creating artificial life forms through evolutionary robotics faces a “chicken and egg” problem: learning to control a complex body is dominated by problems specific to its s...
Pablo Funes, Jordan B. Pollack