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[PDF][PDF] Optimization, imitation and innovation: Computational intelligence and games
J Togelius - 2007 - neuro.bstu.by
Once upon a time, it was widely believed that we could build artificial intelligence ourselves.
In other words, that we could understand the mechanisms of intelligence in sufficient depth …
In other words, that we could understand the mechanisms of intelligence in sufficient depth …
A coevolutionary model for the virus game
In this paper, coevolution is used to evolve artificial neural networks (ANN) which evaluate
board positions of a two player zero-sum game (the virus game). The coevolved neural …
board positions of a two player zero-sum game (the virus game). The coevolved neural …
Hybrid evolutionary learning approaches for the virus game
This paper investigates the effectiveness of hybrids of learning and evolutionary approaches
to find weights and topologies for an artificial neural network (ANN) which is used to …
to find weights and topologies for an artificial neural network (ANN) which is used to …
Enhancing the Performance of Search Heuristics. Variable Fitness Functions and other Methods to Enhance Heuristics for Dynamic Workforce Scheduling.
SM Remde - 2010 - bradscholars.brad.ac.uk
Scheduling large real world problems is a complex process and finding high quality
solutions is not a trivial task. In cooperation with Trimble MRM Ltd., who provide scheduling …
solutions is not a trivial task. In cooperation with Trimble MRM Ltd., who provide scheduling …
[PDF][PDF] Using Coevolution and Gradient-based learning for the Virus Game
This paper presents a novel coevolutionary model which is used to create strong game (The
Virus Game) playing strategies. We use two approaches to coevolve Artificial Neural …
Virus Game) playing strategies. We use two approaches to coevolve Artificial Neural …