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CIG
2005
IEEE
15 years 9 months ago
Combining Coaching and Learning to Create Cooperative Character Behavior
Abstract- We present a concept for developing cooperative characters (agents) for computer games that combines coaching by a human with evolutionary learning. The basic idea is to ...
Jörg Denzinger, Chris Winder
GECCO
2005
Springer
128views Optimization» more  GECCO 2005»
15 years 9 months ago
Collaborative interactive evolution
Interactive evolutionary computation (IEC) has proven useful in a variety of applications by combining the subjective evaluation of a user with the massive parallel search power o...
Sean R. Szumlanski, Annie S. Wu, Charles E. Hughes
CDC
2009
IEEE
165views Control Systems» more  CDC 2009»
15 years 8 months ago
Achieving symmetric Pareto Nash equilibria using biased replicator dynamics
— Achieving the Nash equilibria for single objective games is known to be a computationally difficult problem. However there is a special class of equilibria called evolutionary...
Kiran Somasundaram, John S. Baras
149
Voted
EH
1999
IEEE
141views Hardware» more  EH 1999»
15 years 7 months ago
On-Line Evolution of FPGA-Based Circuits: A Case Study on Hash Functions
An evolutionary algorithm is used to evolve a digital circuit which computes a simple hash function mapping a 16bit address space into an 8-bit one. The target technology is FPGA,...
Ernesto Damiani, Andrea Tettamanzi, Valentino Libe...
PPSN
1998
Springer
15 years 7 months ago
On Risky Methods for Local Selection under Noise
The choice of the selection method used in an evolutionary algorithm may have considerable impacts on the behavior of the entire algorithm. Therefore, earlier work was devoted to t...
Günter Rudolph