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» Evolving Artificial Neural Networks that Develop in Time
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CEC
2005
IEEE
13 years 9 months ago
Evolving autonomous agent control in the Xpilot environment
Abstract- Interactive combat games are useful as testbeds for learning systems employing evolutionary computation. Of particular value are games that can be modified to accommodate...
Gary B. Parker, Matt Parker, Steven D. Johnson
CEC
2007
IEEE
14 years 1 months ago
Evolving neuromodulatory topologies for reinforcement learning-like problems
— Environments with varying reward contingencies constitute a challenge to many living creatures. In such conditions, animals capable of adaptation and learning derive an advanta...
Andrea Soltoggio, Peter Dürr, Claudio Mattius...
ECAL
1999
Springer
13 years 11 months ago
Framsticks: Towards a Simulation of a Nature-Like World, Creatures and Evolution
In this paper we describe our attempt to create a nature-like simulation model of artificial creatures. The model includes physical simulation of creatures, their interaction with ...
Maciej Komosinski, Szymon Ulatowski
ECAL
2003
Springer
14 years 19 days ago
First Steps in Evolving Path Integration in Simulation
Abstract. Path integration is a widely used method of navigation in nature whereby an animal continuously tracks its location by integrating its motion over the course of a journey...
Robert Vickerstaff
CJ
2008
108views more  CJ 2008»
13 years 7 months ago
Computing with Time: From Neural Networks to Sensor Networks
This article advocates a new computing paradigm, called computing with time, that is capable of efficiently performing a certain class of computation, namely, searching in paralle...
Boleslaw K. Szymanski, Gilbert Chen