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SASO
2009
IEEE
14 years 3 months ago
Swarming Polyagents Executing Hierarchical Task Networks
Swarming agents often operate in benign geographic topologies that let them explore alternative trajectories with minor variations that the agent dynamics then amplify for improve...
Sven A. Brueckner, Theodore C. Belding, Robert Bis...
SASO
2008
IEEE
14 years 3 months ago
A Robust Audit Mechanism to Prevent Malicious Behaviors in Multi-robot Systems
Market-based mechanisms can be used to coordinate self-interested multi-robot systems in fully distributed environments, where by self-interested we mean that each robot agent att...
MyungJoo Ham, Gul A. Agha
CEC
2005
IEEE
14 years 2 months ago
Distributed brain modelling by means of hierarchical collaborative coevolution
The current work addresses the development of cognitive abilities in artificial organisms. In the proposed approach, neural network-based agent structures are employed to represen...
Michail Maniadakis, Panos E. Trahanias
GECCO
2005
Springer
134views Optimization» more  GECCO 2005»
14 years 2 months ago
Tracking extrema in dynamic environments using a coevolutionary agent-based model of genotype edition
Typical applications of evolutionary optimization in static environments involve the approximation of the extrema of functions. For dynamic environments, the interest is not to lo...
Chien-Feng Huang, Luis Mateus Rocha
ATAL
2004
Springer
14 years 2 months ago
Trust Dynamics: How Trust Is Influenced by Direct Experiences and by Trust Itself
In this paper we will examine two main aspects of trust dynamics: a) How direct experiences involving trust, with their successes or failures, influence the future trust of an age...
Rino Falcone, Cristiano Castelfranchi