Coloured Petri nets (2nd ed.): basic concepts, analysis methods and practical use: volume 1
Coloured Petri nets (2nd ed.): basic concepts, analysis methods and practical use: volume 1
Readings in agents
Understanding Computers and Cognition: A New Foundation for Design
Understanding Computers and Cognition: A New Foundation for Design
Reflections on the Nature of Multi-Agent Coordination and Its Implications for an Agent Architecture
Autonomous Agents and Multi-Agent Systems
Protocol Engineering for Multi-agent Interaction
MAAMAW '99 Proceedings of the 9th European Workshop on Modelling Autonomous Agents in a Multi-Agent World: MultiAgent System Engineering
A proposal for structuring Petri net-based agent interaction protocols
ICATPN'03 Proceedings of the 24th international conference on Applications and theory of Petri nets
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The dynamic nature of cooperative information systems (CIS) makes considerably more difficult the task of modeling interactions among agents. One of the most difficult problems related to the dynamic of a system is how to model and control simultaneously multiple interactions among agents in a friendly way. So far, traditional approaches deal with the problem of modeling interactions in static conditions and commonly with only two agents participating concurrently in cooperative tasks. Consequently, expressiveness becomes a problem related with the representation of multiple interactions in a satisfactory way, particularly in dynamic environments, such as e-business. The paper illustrates the application of a methodology based on Coloured Petri Nets (CP nets) in order to model the interaction mechanism in a CIS in an expressive way. This reduces the associated complexity in the representation of the dynamic of the system in a contact center environment, which is the start point to customer service, where concurrent interactions among users, technical people, process center and the contact center constitute a dynamic process that needs to be permanently monitored and controlled. The methodology provides us important advantages in the representation and reasoning for the interaction mechanism modeled in CIS. The use of CP nets allows analyzing the behavior of the system in the dynamic model using the individual and structural model.