Adaptive Behavior in Competing Co-Evolving Species

By Dario Floreano, S. Nol. 2000

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Evolutionary robotics: coping with environmental change (2000, methodology): “In our first experiments (Floreano & Mondada, 1996b, 1998; Floreano & Nolfi, 1997 ) we always used Synapse Encoding and showed that evolution of adaptive synapses for obstacle avoidance and chasing tasks develops levels of performance faster, better, or more robust than those obtained by evolution ”
Genetic and Evolutionary Computation — GECCO 2003 (2003, methodology): “Introduced in [8], the AntClust algorithm reproduces the main principles of this recognition system.”
Robust non-linear control through neuroevolution (2003, background): “Pursuit and evasion contests are of interest in many areas such as adaptive behavior and robotics (Reynolds 1994a; Haynes and Sen 1995; Floreano and Nolfi 1997; Floreano et al. 1998; Strens and Moore 2002; Whiteson et al. 2003) because they embody the kind of complex general behavior that is ubiquit”
Learning and Evolution (1999, background): “the ca se of predators (see Floreano and Nolfi, 1997b ).”