Although well understood in the single-agent framework, the use of traditional reinforcement learning (RL) algorithms in multi-agent systems (MAS) is not always justified. The fe...
In this paper we propose an evolutionary approach capable of successfully combining rules to play the popular video game, Ms. PacMan. In particular we focus our attention on the be...
Evolution by natural selection may include both frequency and density-dependence. Frequency-dependent selection is a kind of hermeneutic circle. As a literary term (and a school o...
A proposal for a memory design is given that is suitable for solving constrained dynamic optimization problems by an evolutionary m. Based on ideas from abstract memory, two scheme...
Abstract. We describe an analytic approach, multiscale analysis, that can demonstrate the fundamental limitations of decomposition based engineering for the development of highly c...