Multi-Agent System Interaction Protocols in a Dynamically Changing Environment

Abstract

is one of seven departments that make up the School of Business at the University of Otago. The department offers courses of study leading to a major in Information Science within the BCom, BA and BSc degrees. In addition to undergraduate teaching, the department is also strongly involved in postgraduate research programmes leading to MCom, MA, MSc and PhD degrees. Research projects in spatial information processing, connectionist-based information systems, software engineering and software development, information engineering and database, software metrics, distributed information systems, multimedia information systems and information systems security are particularly well supported. The views expressed in this paper are not necessarily those of the department as a whole. The accuracy of the information presented in this paper is the sole responsibility of the authors. Copyright Copyright remains with the authors. Permission to copy for research or teaching purposes is granted on the condition that the authors and the Series are given due acknowledgment. Reproduction in any form for purposes other than research or teaching is forbidden unless prior written permission has been obtained from the authors.

Flexible Negotiation Modeling by Using Colored Petri Nets

“…Nowostawski's work give an outline of using CPNs in agent interaction modeling. Purvis et al (2004) extend the work of Nowostawski and explore the potential application domains of CPN based interactions models, including environmental emergency systems, E-business, tourism systems and work-flow management systems. However, both Nowostawski and Purvis do not describe how to dynamically construct interactions according to CPN models.…”

An abstract representation model for evolutionary analysis of multi-agent interactions

“…single arrow) in the diagram is a morphism 8 . Based on [24], a base diagram, which is a category PATH, has been associated with each MAS to represent the general attributes and organization of related communication channels (arrows) for that MAS.…”

“…As highlighted in [6], despite worldwide efforts in this domain, no proven formal frameworks, methods, and tools for modeling automatic agent interactions and argumentation yet exist. The interaction protocols, which consist of a set of steering rules to manage the interactions, are commonly represented using UML [7], Petri nets [8], State-charts [9], state-transition diagrams or finite state machines [10]. RLR employs categorical notions as a basis for modeling an agent communication language.…”