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HIS
2004
14 years 11 months ago
Reinforcement Learning Hierarchical Neuro-Fuzzy Politree Model for Control of Autonomous Agents
: This work presents a new hybrid neuro-fuzzy model for automatic learning of actions taken by agents. The main objective of this new model is to provide an agent with intelligence...
Karla Figueiredo, Marley B. R. Vellasco, Marco Aur...
PPSN
2004
Springer
15 years 3 months ago
Evolutionary Multi-agent Systems
In Multi-Agent learning, agents must learn to select actions that maximize their utility given the action choices of the other agents. Cooperative Coevolution offers a way to evol...
Pieter Jan't Hoen, Edwin D. de Jong
HRI
2010
ACM
15 years 2 months ago
From manipulation to communicative gesture
— Assisting humans in their daily lives requires robots to be proficient in manual tasks and effective in communicating states/intentions with human users. This paper advocates ...
Shichao Ou, Roderic A. Grupen
SELMAS
2004
Springer
15 years 3 months ago
A Software Framework for Automated Negotiation
If agents are to negotiate automatically with one another they must share a negotiation mechanism, specifying what possible actions each party can take at any given time, when nego...
Claudio Bartolini, Chris Preist, Nicholas R. Jenni...
AAAI
2011
13 years 10 months ago
Learning in Repeated Games with Minimal Information: The Effects of Learning Bias
Automated agents for electricity markets, social networks, and other distributed networks must repeatedly interact with other intelligent agents, often without observing associate...
Jacob W. Crandall, Asad Ahmed, Michael A. Goodrich