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IDEAL
2009
Springer
13 years 10 months ago
The Winning Advantage: Using Opponent Models in Robot Soccer
Opponent modeling is a skill in multi-agent systems (MAS) which attempts to create a model of the behavior of the opponent. This model can be used to predict the future actions of ...
José Antonio Iglesias, Juan Antonio Fern&aa...
GECCO
2005
Springer
174views Optimization» more  GECCO 2005»
13 years 11 months ago
Emergence of communication in competitive multi-agent systems: a pareto multi-objective approach
In this paper we investigate the emergence of communication in competitive multi-agent systems. A competitive environment is created with two teams of agents competing in an explo...
Michelle McPartland, Stefano Nolfi, Hussein A. Abb...
AGILEDC
2005
IEEE
13 years 11 months ago
Costs of Compliance: Agile in an Inelastic Organization
Doing agile development in a relatively inelastic environment, where policies and procedures are virtually unchangeable, creates an impedance mismatch between the agile team and i...
John J. Cunningham
RIVF
2007
13 years 7 months ago
Human Heuristics for a Team of Mobile Robots
— This paper is at the crossroad of Cognitive Psychology and AI Robotics. It reports a cross-disciplinary project concerned about implementing human heuristics within autonomous ...
Charles Tijus, Elisabetta Zibetti, V. Besson, Nico...
BMCBI
2006
154views more  BMCBI 2006»
13 years 5 months ago
Agile methods in biomedical software development: a multi-site experience report
Background: Agile is an iterative approach to software development that relies on strong collaboration and automation to keep pace with dynamic environments. We have successfully ...
David W. Kane, Moses M. Hohman, Ethan G. Cerami, M...