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AGENTS
1998
Springer
14 years 8 days ago
Learning Situation-Dependent Costs: Improving Planning from Probabilistic Robot Execution
Physical domains are notoriously hard to model completely and correctly, especially to capture the dynamics of the environment. Moreover, since environments change, it is even mor...
Karen Zita Haigh, Manuela M. Veloso
CEC
2010
IEEE
13 years 8 months ago
Exploring the Kuramoto model of coupled oscillators in minimally cognitive evolutionary robotics tasks
— This work is the first attempt to investigate the neural dynamics of a simulated robotic agent engaged in minimally cognitive tasks by employing evolved instances of the Kuram...
Renan C. Moioli, Patrícia Amâncio Var...
IAT
2007
IEEE
14 years 2 months ago
Design and Evaluation of a Multiagent Autonomic Information System
The goal of an autonomic system is to self-manage itself and adjust its actions in the face of environmental changes. In this paper, we adopt a multiagent approach to developing a...
Walamitien H. Oyenan, Scott A. DeLoach
AAMAS
2006
Springer
13 years 8 months ago
An Evolutionary Dynamical Analysis of Multi-Agent Learning in Iterated Games
In this paper, we investigate Reinforcement learning (RL) in multi-agent systems (MAS) from an evolutionary dynamical perspective. Typical for a MAS is that the environment is not ...
Karl Tuyls, Pieter Jan't Hoen, Bram Vanschoenwinke...
ICSOC
2009
Springer
13 years 5 months ago
Integrating Complex Events for Collaborating and Dynamically Changing Business Processes
Business processes must become agile, respond to changes in the business environment in a timely manner and quickly adapt themselves to new conditions. Event-Driven Business Proces...
Rainer von Ammon, Thomas Ertlmaier, Opher Etzion, ...