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AAMAS
2002
Springer
15 years 6 months ago
Cooperative Learning Using Advice Exchange
Abstract. One of the main questions concerning learning in a Multi-Agent System's environment is: "(How) can agents benefit from mutual interaction during the learning pr...
Luís Nunes, Eugenio Oliveira
JAIR
2011
187views more  JAIR 2011»
15 years 1 months ago
A Monte-Carlo AIXI Approximation
This paper describes a computationally feasible approximation to the AIXI agent, a universal reinforcement learning agent for arbitrary environments. AIXI is scaled down in two ke...
Joel Veness, Kee Siong Ng, Marcus Hutter, William ...
HICSS
2003
IEEE
123views Biometrics» more  HICSS 2003»
15 years 12 months ago
Issues in Rational Planning in Multi-Agent Settings
We adopt the decision-theoretic principle of expected utility maximization as a paradigm for designing autonomous rational agents operating in multi-agent environments. We use the...
Piotr J. Gmytrasiewicz
SAINT
2003
IEEE
15 years 12 months ago
Implementing Role-based Interactions for Internet Agents
Large-scale distributed environments, such as the Internet, achieve advantages in exploiting software agents for applications, thanks to their autonomy in carrying out tasks. In s...
Giacomo Cabri, Letizia Leonardi, Franco Zambonelli
AMAI
1999
Springer
15 years 6 months ago
From Logic Programming Towards Multi-Agent Systems
In this paper we present an extension of logic programming (LP) that is suitable not only for the "rational" component of a single agent but also for the "reactive&...
Robert A. Kowalski, Fariba Sadri