An architecture is presented that utilizes both knowledge-based systems technology and Intelligent Agents technology to design and implement computerized systems for agricultural management that are flexible, extendible, and reusable. While stand-alone knowledge based systems provide valuable agricultural management information, collaboration among several knowledge-based systems with related f...

Agent-based modeling is an important tool for the engineering of systems of systems. This paper briefly reviews the historical development of agent-based modeling and system of systems concepts, compares agent-based modeling to other approaches, and describes the Purdue Discrete Agent Framework for agent-based modeling. An application of the Discrete Agent Framework to a system of systems is de...

We present a detailed analysis of the self-organization phenomenon in which the stylized facts originate from finite size effects with respect to the number of agents considered and disappear in the limit of an infinite population. By introducing the possibility that agents can enter or leave the market depending on the behavior of the price, it is possible to show that the system self-organize...

An agent-based organizational model for a smart energy system is introduced relying on dynamic coalition formation mechanisms for virtual power stations’ creation and maintenance. The solution proposed introduces a distributed algorithm by formalizing an interaction scheme, deployed in a MAS environment populated by negotiation agents. On this basis, the system is able to efficiently selforgani...

ASiDE is an actor-based software framework that has the goals of simplifying the development of large and distributed complex systems and of guarantying an efficient execution of applications. This software framework provides a flexible actor implementation that simplifies the writing of the actors by delegating the management of events (i.e., the reception of messages) to the execution environ...

In our research we investigate the output accuracy of discrete event simulation models and agent based simulation models when studying human centric complex systems. In this paper we focus on human reactive behaviour as it is possible in both modelling approaches to implement human reactive behaviour in the model by using standard methods. As a case study we have chosen the retail sector, and h...

Process-Aware Information Systems consider various characteristics of resources, such as capabilities, as a driver for allocating task to humans. Work experience has been discussed as a possible variable of history-based allocation, and has been primarily regarded from the perspective of the process. However, work experience has been considered in a limited extend, reducing the perspective on m...

In this paper, an agent-based platform to control and to manage the interaction between customer and different ATM service provider networks is addressed. The aim of the presented approach is to offer an ATM end-user Quality of Service (QoS) and costs information, enabling him to establish a proper routing policy when multiple switched-based ATM WANs are present. The system architecture describ...

The design of multiagent simulations devoted to complex systems, addresses the issue of modelling behaviors that are involved at different space, time, behavior scales, each one being relevant to represent a feature of the phenomenon. We propose here a generic formalism intented to represent multiple environments, endowed with their own spatiotemporal scales and with behavioral rules for the ag...