Multiagent systems with workflows

Developing Multiagent Systems with agentTool

The advent of multiagent systems has brought together many disciplines and given us a new way to look at intelligent, distributed systems. However, traditional ways of thinking about and designing software do not fit the multiagent paradigm. This paper describes the Multiagent Systems Engineering (MaSE) methodology and agentTool, a tool to support MaSE. MaSE guides a designer from an initial sy...

Multiagent Coordination with Learning Classifier Systems

Modeling Multiagent Systems with Local Model Semantics

Local Model Semantics (Giunchiglia & Ghidini 1998) has been proposed as a formal framework to model contextual reasoning. The basic ideas underlying this semantics are the principles of locality of representations and of compatibility among representations. In this paper shows how Local Model Semantics can be effectively used to model dynamic Multiagent Systems. Intuitively, each agent have loc...

Collaborative systems and multiagent systems

This paper presents some basic elements regarding the domain of the collaborative systems, a domain of maximum actuality and also the multiagent systems, developed as a result of a sound study on the one-agent systems.

Multiagent systems for workflow

Workflows are ubiquitous in business computing. They arise not only within an enterprise, but increasingly across enterprises as well—in situations such as virtual enterprises and applications such as supply-chain management. Although the importance of workflows as a basis for understanding and automating business activities is widely recognized, current workflow practice leaves much to be desi...