Programming of Agent-Based Systems

2000

In this paper, we propose a nested Petri net approach to model the coordination of multi-agent systems. A higher level net (called host net) defines the movements and coordination mechanism of agents, while lower level nets (called agent nets that are tokens of the host net) model the behavior of individual agents. A dynamic channel concept and the notation are introduced for modeling the communications and coordination between the host net and agent nets. We demonstrate our modeling approach through an e-market example. Our approach promotes the extensibility and flexibility of multiple agent system design through dynamic channels.

Lecture Notes in Computer Science, 2005

1996

This paper explores the possibility of applying distributed arti cial intelligent systems and multi-agent systems to help in the design of engineering software systems. We de ne an environment consisted basically by arti cial designers that based on their knowledge, help a human designer to obtain the design of the software systems. The software design engineering problem we take as example is the design of the interlocking software for distributed track-vehicle controllers. The design of these modules are based on Petri nets, from which we can derive invariants that are used as the basis to characterize agent's knowledge in our design aid environment.

Annales Umcs Informatica, 2009

The article deals with the problems related to the possibility of information exchange in the multi-agent systems. Therefore it presents a model of coloured Petri net which was created in order to illustrate and to simulate the agents communication processes as well as exemplary diagrams which determine the sequences of information exchange between the agents with the use of the required performatives of KQML.

2011

The Department of Information Science is one of six departments that make up the Division of Commerce 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 programmes leading to the MBA, MCom and PhD degrees. Research projects in software engineering and software development, information engineering and database, artificial intelligence/expert systems, geographic information systems, advanced information systems management and data communications are particularly well supported at present.

International Journal of Intelligent Systems and Applications, 2012

Analysis and proper assessment of multiagent system properties are very much important. In this paper, we discussed about methodologies for modeling, analysis and design of multi-agent oriented system with the help of Petri net. A Multi-agent system can be considered as a discrete-event dynamic system and Petri nets are used as a modeling tool to assess the structural properties of the multi-agent system. Petri net provides an assessment of the interaction properties of the multiagent.

Journal of Software Engineering and Applications, 2010

In this paper, we present a new formalism for Modeling Multi Agent Systems (MAS). Our model based a PN is able to describe not only not the internal state of each agent modeled but also its behavior. Owing to these features, one can model naturally the dynamic behavior of complex systems and the communication between these entities. For this, we propose mathematical definitions attached to firing transitions. To validate our contribution, we will deal with real examples.

Expert Systems, 1994

Abstract: A language for multi-agent system design (MAPS) is presented and discussed in this paper. Any agent in MAPS is thought of as an expert system standing on its own. It can communicate through synchronous and asynchronous message sending. Dedicated behaviours are provided which specify how incoming messages are processed. Inter-agent cooperation is controlled via production rules. Two pre-defined agent classes are provided, which are given specific problem-solving roles: Knowledge Server (KS) agents are meant to maintain and transmit knowledge about problem-solving states, while Knowledge Processor (KP) agents are meant to process these elements in order to progress towards a solution. The duality between agent and resource modelling levels on the one hand and between KS and KP modelling styles on the other is shown to allow the specification of various control strategies. The environment is currently running on HP, SUN and DEC workstations.

Lecture Notes in Computer Science, 2012

Agent-based computing addresses the challenges in managing distributed computing systems and networks through monitoring, communication, consensus-based decision-making and coordinated actuation. As a result, intelligent agents and multi-agent systems have demonstrated the capability to use intelligence, knowledge representation and reasoning, and other social metaphors like trust, game and institution, not only to address real-world problems in a human-like way but also to transcend human performance. This has had a transformative impact in many application domains, particularly in e-commerce, and also in planning, logistics, manufacturing, robotics, decision support, transportation, entertainment, emergency relief and disaster management, data mining and analytics. As one of the largest and still growing research fields of Computer Science, agent-based computing today remains a unique enabler of inter-, multi-and trans-disciplinary research. The International Conference on Conference on Principles and Practice of Multi-Agent Systems (PRIMA) originally started in 1998 as a regional (Asia-Pacific) workshop and in the last decade it grew to become one of the leading and influential scientific conferences for research on multiagent systems. Each year, PRIMA brings together active researchers, developers and practitioners from both academia and industry to showcase, share and promote research in several domains, ranging from foundations of agent theory and engineering aspects of agent systems, to emerging interdisciplinary areas of agent-based research. Previous successful editions were held

1996 IEEE International Conference on Systems, Man and Cybernetics. Information Intelligence and Systems (Cat. No.96CH35929)