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CIA
2006
Springer
14 years 1 months ago
Learning to Negotiate Optimally in Non-stationary Environments
Abstract. We adopt the Markov chain framework to model bilateral negotiations among agents in dynamic environments and use Bayesian learning to enable them to learn an optimal stra...
Vidya Narayanan, Nicholas R. Jennings
ATAL
2008
Springer
14 years 2 days ago
Autonomic machine control: a case study
This paper describes an autonomic machine control system applied to the adaptive control of a modular soldering machine. The particular case concerns the creation of a novel modul...
Christian Dannegger, Dominic A. P. Greenwood
ESAW
2008
Springer
13 years 12 months ago
Engineering Self-modeling Systems: Application to Biology
Complexity of today's systems prevents designers from knowing everything about them and makes engineering them a difficult task for which classical engineering approaches are ...
Carole Bernon, Davy Capera, Jean-Pierre Mano
FLAIRS
2004
13 years 11 months ago
Cautious Cooperative Learning with Distributed Case-Based Reasoning
In this paper, we propose a cautious cooperative learning approach using distributed case-based reasoning. Our approach consists of two learning mechanisms: individual and coopera...
Leen-Kiat Soh
AAMAS
2002
Springer
13 years 10 months ago
MySpiders: Evolve Your Own Intelligent Web Crawlers
The dynamic nature of the World Wide Web makes it a challenge to find information that is both relevant and recent. Intelligent agents can complement the power of search engines to...
Gautam Pant, Filippo Menczer