In this paper, we investigate Reinforcement learning (RL) in multi-agent systems (MAS) from an evolutionary dynamical perspective. Typical for a MAS is that the environment is not ...
Karl Tuyls, Pieter Jan't Hoen, Bram Vanschoenwinke...
We propose an operational model that combines message meaning and conversational structure in one comprehensive approach. Our long-term research goal is to lay down principles unit...
Roberto A. Flores, Philippe Pasquier, Brahim Chaib...
This paper reports on an NSF-funded effort now underway to integrate three learning technologies that have emerged and matured over the past decade; each has presented compelling ...
CASO is an agent-oriented programming language based on AgentSpeak(L), one of the most influential abstract languages based on the BDI (Beliefs-Desires-Intentions) architecture. ...
Abstract. In open scenarios, agents willing to cooperate must impact the communication barrier between them and their unknown partners. If agents are not relying on any agreement a...
Maria Teresa Pazienza, Savino Sguera, Armando Stel...