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GECCO
2010
Springer
183views Optimization» more  GECCO 2010»
15 years 11 months ago
Neuroevolution of mobile ad hoc networks
This paper describes a study of the evolution of distributed behavior, specifically the control of agents in a mobile ad hoc network, using neuroevolution. In neuroevolution, a p...
David B. Knoester, Heather Goldsby, Philip K. McKi...
ATAL
2004
Springer
15 years 12 months ago
Stigmergic Learning for Self-Organizing Mobile Ad-Hoc Networks (MANET's)
In recent years, mobile ad-hoc networks (MANET’s) have been deployed in various scenarios, but their scalability is severely restricted by the human operators’ ability to conf...
H. Van Dyke Parunak, Sven Brueckner
ATAL
2004
Springer
15 years 12 months ago
Analyzing Stigmergic Learning for Self-Organizing Mobile Ad-Hoc Networks (MANET's)
Abstract. In recent years, mobile ad-hoc networks (MANET’s) have been deployed in various scenarios, but their scalability is severely restricted by the human operators’ abilit...
H. Van Dyke Parunak, Sven Brueckner
ICRA
1999
IEEE
145views Robotics» more  ICRA 1999»
15 years 10 months ago
Real Time Position Estimation for Mobile Robots by Means of Sonar Sensors
This paper presents a fast localisation algorithm for autonomous mobile agents in dynamic environments based on the definition of a new very small sized landmark type. These landm...
Cristina Urdiales, Antonio Bandera, R. Ron, Franci...
AI
1999
Springer
15 years 6 months ago
Cooperative Behavior Acquisition for Mobile Robots in Dynamically Changing Real Worlds Via Vision-Based Reinforcement Learning a
In this paper, we first discuss the meaning of physical embodiment and the complexity of the environment in the context of multi-agent learning. We then propose a vision-based rei...
Minoru Asada, Eiji Uchibe, Koh Hosoda