Multi agent Markov decision processes (MMDPs), as the generalization of Markov decision processes to the multi agent case, have long been used for modeling multi agent system and are used as a suitable framework for Multi agent Reinforcement Learning. In this paper, a generalized learning automata based algorithm for finding optimal policies in MMDP is proposed. In the proposed algorithm, MMDP ...

A human user is centrally involved in a Decision Support System (DSS) task, whereas for an autonomous agent system, a user’s role is a more abstract notion of oversight and approval. In this paper, we examine the potential integration of a multi-agent architecture into a DSS. The motivation in this work is to utilise autonomous agent problemsolvers within a suitable multi-agent framework in suc...

Innovations in network and information technology have transformed traditional classroom lectures into new approaches that have given universities the opportunity to create a virtual laboratory. However, there is no systematic framework in existing approaches for the development of virtual laboratories. Further, developing a virtual laboratory from scratch is time consuming and costly. This art...

The paper presents the new agent framework XJAF and its application on distributed library catalogues. The framework is based on the Java EE technology and uses the concept of the plug-ins for implementation of the basic framework components. One important plug-in of the agent framework has been introduced into this system: the inter-facilitator connection plug-in, which defines how multiple fa...

We develop an abstract framework for modelling multi-agent systems. The framework splits the state of an agent into an internal state and a set of observables. In the execution model, an agent performs either an observation step, a reasoning step, or an external step, i.e. an action that affects other agent’s observables. We use this framework to model the game Mafia as a multi-agent system.

Developing dependable distributed multi-agent programs is not an easy task. Even with extensive testing and debugging, faults cannot be completely removed. However, many distributed multi-agent programs, especially those employed in safety critical environments, should be able to function properly even in the presence of software faults. Monitoring the execution of a distributed multi-agent pro...

The Enterprise Business Cooperation Mode is analyzed, as a result, an multi-agent based business cooperation framework is presented. The agent configuration in the framework is explained respectively, and a case of business process reengineering with multi-agent is discussed to prove the feasibility of the framework.

This paper investigates how a framework for sharing objects in a distributed setting can provide the same support for mobile agents as a framework made specific for this purpose. The paper describes experiences from migrating a multi-agent system using the JavaSpaces framework from Sun and that was originally implemented using the Aglets agent framework from IBM. Our mobile agent system is name...

A mobile agent based framweork for the transparant distribution and concurrent execution of computations is presented. The framework uses design patterns like the master-slave, abstract factory or the strategy pattern. The architecture of the framework is built on top of a mobile agent system. A performance model allows to identify performance bottlenecks and unbalanced situations within the fr...