The paper surveys some of the mechanisms that have been demonstrated to be relevant for evolving communication systems in software simulations or robotic experiments. In each case,...
Agents need to be able to adapt to the dynamic nature of the environments in which they operate. Automated adaptation is an option that is only feasible if enough structure is prov...
Sander van Splunter, Niek J. E. Wijngaards, France...
Abstract. Open systems are becoming increasingly important in a variety of distributed, networked computer applications. Their characteristics, such as agent diversity, heterogenei...
Cooperation and learning are two ways in which an agent can improve its performance. Cooperative Multiagent Learning is a framework to analyze the tradeoff between cooperation and ...
Abstract. One of the main questions concerning learning in a Multi-Agent System's environment is: "(How) can agents benefit from mutual interaction during the learning pr...
Abstract. The purpose of this research is to show the relevance of philosophical theories to agent knowledge base (AKB) design, implementation, and behaviour. We will describe how ...
In reinforcement learning, an agent tries to learn a policy, i.e., how to select an action in a given state of the environment, so that it maximizes the total amount of reward it ...
Abstract. How and where are the universal features of language specified? We consider language users as situated agents acting as conduits for the cultural transmission of language...
The evolution of collaboration and communication in communities of individuals is a puzzling problem for a wide range of scientific disciplines, spanning from evolutionary theory ...