Lecture Notes in Economics and Mathematical Systems

In this paper, the compositional multi-agent modelling framework DESIRE is not only successfully used to develop a conceptual specification of the simple agents discussed in (Cesta et al. 1996, but also to simulate the behaviour in a dynami

Deliberative Evolution in Multi-Agent Systems

Item does not contain fulltextEvolution of automated systems, in particular evolution of automated agents based on agent deliberation, is the topic of this paper. Evolution is not a merely material process, it requires interaction within and between individuals, their environments and societies of agents. An architecture for an individual agent capable of (1) deliberation about the creation of new agents, and (2) (run-time) creation of a new agent on the basis of this, is presented. The agent architecture is based on an existing generic agent model, and includes explicit formal conceptual representations of both design structures of agents and (behavioural) properties of agents. The process of deliberation is based on an existing generic reasoning model of design. The architecture has been designed using the compositional development method DESIRE, and has been tested in a prototype implementation

Modelling Internal Dynamic Behaviour of BDI Agents

In the last five years multi-agent systems have been a major focus of research in AI. The concept of agents, in particular the role of agents as participants in multi-agent systems, has been subject to discussion. In [Wooldridge and Jennings, 1995] different notions of strong and weak agency are presented. In other contexts big and small agents have been distinguished [Velde and Perram, 1996]. In this paper, a model for a rational agent is proposed: a rational agent described using cognitive notions such as beliefs, desires and intentions