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In this paper, we will apply genetic programming (GP) and co-evolution techniques to develop two strategies: the ghost (attacker) and players (survivors) in the Traffic Light Game (a popular game among children). These two strategies compete against each other. By applying the co-evolution technique alongside GP, each strategy is used as an “imaginary enemy” from which evolves (is trained in) another...
In this paper, we will apply genetic programming (GP) technique to develop two strategies: the ghost (attacker) and players (survivors) in the Traffic Light Game (a popular game among children). These two strategies are competing for each other. By applying GP, each one strategy is used as an "imaginary enemy" to evolve (train) another strategy. Based on this co-evolution process, the final...
In this paper, we will apply genetic programming (GP) technique to develop two strategies: the ghost (attacker) and players (survivors) in the Traffic Light Game (a popular game among children). These two strategies are competing for each other. By applying GP, each one strategy is used as an "imaginary enemy" to evolve (train) another strategy. Based on this co-evolution process, the final...
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