[Background] Systematic literature reviews and maps have become well-established
research methods in software engineering research. Of the three commonly suggested and …

In this paper we tackle the problem of routing multiple agents in a coordinated manner. This
is a complex problem that has a wide range of applications in fleet management to achieve …

Context: Emergent behavior cannot be attributed to one individual system alone but arises in
the interplay of various systems, components etc. Ensuring the correctness of emergent …

Joint attention-the ability to purposefully coordinate attention with another agent, and
mutually attend to the same thing--is a critical component of human social cognition. In this …

In this thesis I explore a biologically inspired method of encoding continuous space within a
population of neurons. This method provides an extension to the Semantic Pointer …

As a powerful and intelligent machine learning method, reinforcement learning (RL) has
been widely used in many fields such as game theory, adaptive control, multi-agent system …

The present invention provides a multi-agent cooperation decision-making and training
method, including the following steps: S1: encoding, by an encoder, local observations …

In this paper, the authors present two kinds of neuro-fuzzy reinforcement learning systems,
which are possible to be used as internal models of autonomous mobile robots to acquire …

In this study, a novel model of the intelligent agent is proposed by introducing a dynamic
emotion model into conventional action selection policy of the reinforcement learning …

Nowadays, development of application that support cooperative works has attracted recent
attention. Thus, several approaches and methods were proposed to reach this aim. In this …