In this paper we present how to use the Agent MOdeling LAnguage (AMOLA) to define agent interaction protocols and how to integrate these in an agent model. AMOLA provides the synt...
Multiagent learning attracts much attention in the past few years as it poses very challenging problems. Reinforcement Learning is an appealing solution to the problems that arise...
Ioannis Partalas, Ioannis Feneris, Ioannis P. Vlah...
The work presented in this paper is part of the development of a robotic system able to learn context dependent visual clues to navigate in its environment. We focus on the obstacl...
Complex Nominals (CNs) have simple syntactic structure that conceals non-trivial semantic characteristics. While speakers of natural languages combine noun(s)/adjective(s) with a h...
This paper presents an applicable model for complex multiattribute negotiations between autonomous agents. The model adopts a novel protocol which decomposes the original n-dimens...