47 search results - page 7 / 10 » An Agent Modeling Method Based on Scenario Rehearsal for Mul... |
CIA
2006
Springer
13 years 11 months ago
2006
Springer
The paper describes a decentralized peer-to-peer multi-agent learning method based on inductive logic programming and knowledge trading. The method uses first-order logic for model...
AAAI
2000
13 years 8 months ago
2000
A common challenge for agents in multiagent systems is trying to predict what other agents are going to do in the future. Such knowledge can help an agent determine which of its c...
MABS
2005
Springer
14 years 29 days ago
2005
Springer
When developping multi-agent systems (MAS) or models in the context of agent-based simulation (ABS), the tuning of the model constitutes a crucial step of the design process. Inde...
ATAL
2007
Springer
13 years 11 months ago
2007
Springer
This paper addresses distributed task allocation in complex scenarios modeled using the distributed constraint optimization problem (DCOP) formalism. We propose and evaluate a nov...
ROBOCUP
2007
Springer
14 years 1 months ago
2007
Springer
Reinforcement learning is a paradigm under which an agent seeks to improve its policy by making learning updates based on the experiences it gathers through interaction with the en...