Cooperative multi-agent systems (MAS) are ones in which several agents attempt, through
their interaction, to jointly solve tasks or to maximize utility. Due to the interactions among the …

Multi-agent systems (MASs) is an area of distributed artificial intelligence that emphasizes
the joint behaviors of agents with some degree of autonomy and the complexities arising …

Notice: This PDF version was distributed by request to members of the Friends of the SEP
Society and by courtesy to SEP content contributors. It is solely for their fair use …

Two major goals in machine learning are the discovery and improvement of solutions to
complex problems. In this paper, we argue that complexification, ie the incremental …

After an introductory section, this article will focus on four questions: How should the Kyoto
School be defined? What is meant by its central philosophical concept of “absolute …

Neuroevolution is currently the strongest method on the pole-balancing benchmark
reinforcement learning tasks. Although earlier studies suggested that there was an …

Information storage is a key component of intrinsic distributed computation. Despite the
existence of appropriate measures for it (eg excess entropy), its role in interacting with …

Artificial neural networks can potentially control autonomous robots, vehicles, factories, or
game players more robustly than traditional approaches. Neuroevolution, ie the artificial …

Abstract Background: A Susceptible–Exposed–Infected–Removed​(SEIR) model was
developed to forecast the spread of the novel coronavirus (SARS-CoV-2) in the United …

The nature of distributed computation in complex systems has often been described in terms
of memory, communication and processing. This thesis presents a complete information …