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» Implicit Fitness Functions for Evolving a Drawing Robot
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CIG
2005
IEEE
13 years 11 months ago
Forcing Neurocontrollers to Exploit Sensory Symmetry Through Hard-wired Modularity in the Game of Cellz
Several attempts have been made in the past to construct encoding schemes that allow modularity to emerge in evolving systems, but success is limited. We believe that in order to c...
Julian Togelius, Simon M. Lucas
AUSAI
2010
Springer
13 years 2 months ago
Evolutionary Non Photo-Realistic Animations with Triangular Brushstrokes
Abstract. We have developed a method for generating non photorealistic animations of a target image. The animations start as a random collection of triangular strokes on a canvas a...
Ashkan Izadi, Victor Ciesielski, Marsha Berry
GECCO
2005
Springer
174views Optimization» more  GECCO 2005»
13 years 10 months ago
Emergence of communication in competitive multi-agent systems: a pareto multi-objective approach
In this paper we investigate the emergence of communication in competitive multi-agent systems. A competitive environment is created with two teams of agents competing in an explo...
Michelle McPartland, Stefano Nolfi, Hussein A. Abb...
CONNECTION
2004
134views more  CONNECTION 2004»
13 years 5 months ago
'Feeling' the flow of time through sensorimotor co-ordination
In this paper, we aim to design decision-making mechanisms for a simulated Khepera robot equipped with simple sensors, which integrates over time its perceptual experience in order...
Elio Tuci, Vito Trianni, Marco Dorigo
GECCO
2009
Springer
13 years 10 months ago
The sensitivity of HyperNEAT to different geometric representations of a problem
HyperNEAT, a generative encoding for evolving artificial neural networks (ANNs), has the unique and powerful ability to exploit the geometry of a problem (e.g., symmetries) by enc...
Jeff Clune, Charles Ofria, Robert T. Pennock