Encouraging exploration, typically by preserving the diversity within the population, is one of the most common method to improve the behavior of evolutionary algorithms with dece...
A major challenge for traditional approaches to multiagent learning is to train teams that easily scale to include additional agents. The problem is that such approaches typically...
David B. D'Ambrosio, Joel Lehman, Sebastian Risi, ...
In this work, we present a new optical routing framework, O-Router for future low-power on-chip optical interconnect integration utilizing silicon compatible nano-photonic devices...
Duo Ding, Yilin Zhang, Haiyu Huang, Ray T. Chen, D...
In this paper we propose a comparative study of Artificial Neural Networks (ANN) and Artificial Immune Systems. Artificial Immune Systems (AIS) represent a novel paradigm in the fi...
Vitoantonio Bevilacqua, Cosimo G. de Musso, Filipp...
This paper presents an action selection framework based on an assemblage of self-organizing neural networks called Cooperative Extended Kohonen Maps. This framework encapsulates t...