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» Measuring Complexity of Intelligent Machines
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AIPS
2008
15 years 1 days ago
From One to Many: Planning for Loosely Coupled Multi-Agent Systems
Loosely coupled multi-agent systems are perceived as easier to plan for because they require less coordination between agent sub-plans. In this paper we set out to formalize this ...
Ronen I. Brafman, Carmel Domshlak
CEC
2007
IEEE
14 years 11 months ago
Fitness inheritance in evolutionary and multi-objective high-level synthesis
Abstract—The high-level synthesis process allows the automatic design and implementation of digital circuits starting from a behavioral description. Evolutionary algorithms are v...
Christian Pilato, Gianluca Palermo, Antonino Tumeo...
AAAI
2006
14 years 11 months ago
On Strictly Competitive Multi-Player Games
We embark on an initial study of a new class of strategic (normal-form) games, so-called ranking games, in which the payoff to each agent solely depends on his position in a ranki...
Felix Brandt, Felix A. Fischer, Yoav Shoham
AAAI
2000
14 years 11 months ago
Making Rational Decisions Using Adaptive Utility Elicitation
Rational decision making requires full knowledge of the utility function of the person affected by the decisions. However, in many cases, the task of acquiring such knowledge is n...
Urszula Chajewska, Daphne Koller, Ronald Parr
CEC
2010
IEEE
14 years 10 months ago
Functionalization of microarray devices: Process optimization using a multiobjective PSO and multiresponse MARS modeling
An evolutionary approach for the optimization of microarray coatings produced via sol-gel chemistry is presented. The aim of the methodology is to face the challenging aspects of t...
Laura Villanova, Paolo Falcaro, Davide Carta, Iren...