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ECAL
2001
Springer
15 years 3 months ago
Evolving Multi-agent Networks in Structured Environments
A crucial feature of evolving natural systems is parallelism. The simultaneous and distributed application of rules (governed by e.g. biochemistry) is generally considered as the p...
Thomas Glotzmann, Holger Lange, Michael Hauhs, A. ...
ECAL
2001
Springer
15 years 3 months ago
Evolution of Reinforcement Learning in Uncertain Environments: Emergence of Risk-Aversion and Matching
Reinforcement learning (RL) is a fundamental process by which organisms learn to achieve a goal from interactions with the environment. Using Artificial Life techniques we derive ...
Yael Niv, Daphna Joel, Isaac Meilijson, Eytan Rupp...
IEAAIE
2010
Springer
14 years 9 months ago
Temporal Bounded Planner Agent for Dynamic Industrial Environments
This paper presents a time bounded real-time agent, the core of a Multi-agent System aimed at managing the security in manufacturing environments, where time constraints are a key ...
Juan Francisco de Paz, Martí Navarro, Sara ...
IROS
2007
IEEE
166views Robotics» more  IROS 2007»
15 years 5 months ago
Visual path following using only monocular vision for urban environments
— This document provides a summary to a short video with the same title. The video shows the French intelligent transportation vehicle CyCab performing visual path following usin...
Albert Diosi, Fabien Spindler, Anthony Remazeilles...
ECAL
2007
Springer
15 years 5 months ago
On the Adaptive Disadvantage of Lamarckianism in Rapidly Changing Environments
Using a simple simulation model of evolution and learning this paper provides some evolutionary arguments on why Lamarckianlike inheritance - direct transfer of lifetime learning r...
Ingo Paenke, Bernhard Sendhoff, Jon Rowe, Chrisant...