Abstract— Q-learning is a technique used to compute an optimal policy for a controlled Markov chain based on observations of the system controlled using a non-optimal policy. It ...
Conversations involving three or more agents often occur in multi-agent systems, for example in brokering and auction protocols typically used in e-commerce. For developing agents ...
Abstract. This paper will discuss the internal architecture for an agent framework called DECAF (Distributed Environment Centered Agent Framework). DECAF is a software toolkit for ...
In this paper, we propose a framework for modelling agent organizations, OMNI, that allows the balance of global organizational requirements with the autonomy of individual agents...
This paper applies Lehman's theory of software evolution to analyse the characteristics of web-based applications and identifies the essences and incidents that cause difficu...