Absirocf- We present a description and initial results of a computer code that coevolves Fuzzy Logic rules to play a two-sided zero-sum competitive game. It is based on the TEMPO Military Planning Game that has been used to teach resource allocation to over 20,000 students over the past 40 years. No feasible algorithm for optimal play is known. The coevolved rules, when pitted against human players, usually win the first few competitions. For reasons not yet understood, the evolved rules (found in a symmetrical competition) place little value an information concerning the play of the opponent but rather focus on exploiting the available weapon systems. 1
Abstract — The usage of memory in coevolutionary sys-tems offers a wide range of research possibilit...
This paper proposes a rule-level coevolutionary approach based on multiple subpopulations to evolve ...
The problem of optimal strategy selection in the two person, zero sum matrix game is investigated. A...
© Copyright 2004 IEEEWe present a description and initial results of a computer code that coevolves ...
We present a description and initial results of a computer code that coevolves Fuzzy Logic rules to ...
©2005 IEEE. Personal use of this material is permitted. However, permission to reprint/republish thi...
Decision-making in resource allocation can be a complex and daunting task. Often there exist circums...
Games provide the perfect test bed for measuring the effectiveness of computer generated strategies ...
Shoot em' up game is the sub-genre of action game. Action game is attractive because the game play u...
Real-time strategy (RTS) games are a subgenre of strategy video games. Due to their importance in pr...
Copyright © 2008 IEEEStrategic decision making done in parallel with the opposition makes it difficu...
Abstract—Coevolution is a natural choice for learning in problem domains where one agent’s behaviour...
The purpose of this investigation is to develop a methodology for the automated generation of game s...
No matter how good a computer player is, given enough time human players may learn to adapt to the s...
Artificial intelligence plays an increasingly important role in modern computer games. As the comple...
Abstract — The usage of memory in coevolutionary sys-tems offers a wide range of research possibilit...
This paper proposes a rule-level coevolutionary approach based on multiple subpopulations to evolve ...
The problem of optimal strategy selection in the two person, zero sum matrix game is investigated. A...
© Copyright 2004 IEEEWe present a description and initial results of a computer code that coevolves ...
We present a description and initial results of a computer code that coevolves Fuzzy Logic rules to ...
©2005 IEEE. Personal use of this material is permitted. However, permission to reprint/republish thi...
Decision-making in resource allocation can be a complex and daunting task. Often there exist circums...
Games provide the perfect test bed for measuring the effectiveness of computer generated strategies ...
Shoot em' up game is the sub-genre of action game. Action game is attractive because the game play u...
Real-time strategy (RTS) games are a subgenre of strategy video games. Due to their importance in pr...
Copyright © 2008 IEEEStrategic decision making done in parallel with the opposition makes it difficu...
Abstract—Coevolution is a natural choice for learning in problem domains where one agent’s behaviour...
The purpose of this investigation is to develop a methodology for the automated generation of game s...
No matter how good a computer player is, given enough time human players may learn to adapt to the s...
Artificial intelligence plays an increasingly important role in modern computer games. As the comple...
Abstract — The usage of memory in coevolutionary sys-tems offers a wide range of research possibilit...
This paper proposes a rule-level coevolutionary approach based on multiple subpopulations to evolve ...
The problem of optimal strategy selection in the two person, zero sum matrix game is investigated. A...