Copyright © 2008 IEEEStrategic decision making done in parallel with the opposition makes it difficult to predict the oppositionpsilas strategy. An important aspect in deciding a move is evaluating your opponentpsilas past moves and using them to predict future movement. In the game of TEMPO this is done through the purchase of intelligence, which gives you a relative view of your opponentpsilas choices. The research presented here seeks to evaluate the way this intelligence is used in the current game, and present an alternative method of representation. This alternate mechanism is then used in a co evolutionary system to obtain a computer player that will self-learn the importance of using opposition data in strategic decision making.Phil...
In the present work I devote to simple turn-based strategic game design and implementation of a plat...
International audienceDominance solvability is one of the most straightforward solution concepts in ...
This thesis deals with the development of artificial intelligence for a simplified version of turn- ...
Decision-making in resource allocation can be a complex and daunting task. Often there exist circums...
Artificial intelligence plays an increasingly important role in modern computer games. As the comple...
Games provide the perfect test bed for measuring the effectiveness ofcomputer generated strategies i...
Abstract — The usage of memory in coevolutionary sys-tems offers a wide range of research possibilit...
We present a description and initial results of a computer code that coevolves Fuzzy Logic rules to ...
Strategy is a study on artificial intelligence, its main focus is on the development of game playing...
Abstract — We investigate the use of genetic algorithms to evolve AI players for real-time strategy ...
Games are good domains for strategy and decision making problems due to its unpredictability. Real-t...
The general purpose of this research is to investigate the possibilities offered for the use of Arti...
How is one's cognitive ability related to the way one responds to strategic uncertainty? We address ...
In the present work I devote to simple turn-based strategic game design and implementation of a plat...
International audienceDominance solvability is one of the most straightforward solution concepts in ...
This thesis deals with the development of artificial intelligence for a simplified version of turn- ...
Decision-making in resource allocation can be a complex and daunting task. Often there exist circums...
Artificial intelligence plays an increasingly important role in modern computer games. As the comple...
Games provide the perfect test bed for measuring the effectiveness ofcomputer generated strategies i...
Abstract — The usage of memory in coevolutionary sys-tems offers a wide range of research possibilit...
We present a description and initial results of a computer code that coevolves Fuzzy Logic rules to ...
Strategy is a study on artificial intelligence, its main focus is on the development of game playing...
Abstract — We investigate the use of genetic algorithms to evolve AI players for real-time strategy ...
Games are good domains for strategy and decision making problems due to its unpredictability. Real-t...
The general purpose of this research is to investigate the possibilities offered for the use of Arti...
How is one's cognitive ability related to the way one responds to strategic uncertainty? We address ...
In the present work I devote to simple turn-based strategic game design and implementation of a plat...
International audienceDominance solvability is one of the most straightforward solution concepts in ...
This thesis deals with the development of artificial intelligence for a simplified version of turn- ...