AUSAI
2008
Springer
13 years 10 months ago
2008
Springer
This paper investigates the use of the case-based reasoning methodology applied to the game of Texas hold'em poker. The development of a CASe-based Poker playER (CASPER) is de...
AUSAI
2008
Springer
13 years 10 months ago
2008
Springer
ATAL
2008
Springer
13 years 10 months ago
2008
Springer
Experiencing and expressing emotions are integral parts of our life. In the retail area of commerce, emotion plays a fundamental role. When we choose or buy a commodity, our choic...
ATAL
2008
Springer
13 years 10 months ago
2008
Springer
ended abstract provides an overview of my research towards a dissertation thesis in the context of programming cognitive agents with non-monotonic reasoning capabilities. Categori...
ATAL
2008
Springer
13 years 10 months ago
2008
Springer
Bots for Real Time Strategy (RTS) games provide a rich challenge to implement. A bot controls a number of units that may have to navigate in a partially unknown environment, while...
ATAL
2008
Springer
13 years 10 months ago
2008
Springer
This paper extends existing methods for information searching and sharing in large-scale, dynamic networks of agents, to deal with networks of heterogeneous agents: Agents that do...
ATAL
2008
Springer
13 years 10 months ago
2008
Springer
Several multiagent reinforcement learning (MARL) algorithms have been proposed to optimize agents' decisions. Only a subset of these MARL algorithms both do not require agent...
ATAL
2008
Springer
13 years 10 months ago
2008
Springer
We consider the problem of distributed exploration or coverage of an unknown environment by a swarm of mobile minirobots that have limited memory, computation and communication ca...
ATAL
2008
Springer
13 years 10 months ago
2008
Springer
Computational grids offer users a simple access to tremendous computer resources for solving large scale computing problems. Traditional performance analysis of scheduling algorit...
ATAL
2008
Springer
13 years 10 months ago
2008
Springer
Multi-Agent Reinforcement Learning (MARL) algorithms suffer from slow convergence and even divergence, especially in large-scale systems. In this work, we develop a supervision fr...