Differential equations and agent-based models are different formalisms which can be applied to describe the evolution of complex systems. In this paper it is shown how differential equations can describe interactions among agents: it is pointed out that their capabilities are broader than it is often assumed, and it is argued that such an approach should be preferred whenever applicable. It is ...

This paper illustrates advances over existing implementation work performed on DALI, which is a logic prolog-based framework for defining agents and Multi-Agent Systems (MAS) developed at University of L’Aquila since 1999, and publicly available. In previous work, DALI features were already extended in view of cognitive robotic applications and Complex Event Processing. Here, we show how to def...

Complex systems are qualified by the heterogeneity of the involved actors, the large mass of data, the distribution of the manipulated information and the dynamic of the environment in which they are immersed. Designing such systems necessitate theory and methodology. This paper is situated in the AMAS theory and the ADELFE methodology. The AMAS theory (Adaptive Multi-Agent System) was proposed...

This paper provides a survey and analysis of applications of Agent Based Simulation (ABS). A framework for describing and assessing the applications is presented and systematically applied. A general conclusion from the study is that even if ABS seems a promising approach to many problems involving simulation of complex systems of interacting entities, it seems as the full potential of the agen...

In supply chain management, improving the efficiency of the overall supply chain is important. It has been found that sharing information between supply chain members can increase the efficiency of the supply chain by varying degrees in different situations. There are, however, many practical difficulties in sharing information with all the companies in a complex supply chain. This paper presen...

The general framework of our project is the development of a simulation environment for complex systems with an agent-based approach. The main goal is to define and implement an evolutionary and generic platform. This paper describes an application of our research in this area, by presenting a development process adapted to this kind of issue. Because of the non-determinist part of the tackled ...

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Agent-based modeling is a new technique for understanding how the dynamics of biological, social, and other complex systems arise from the characteristics and behaviors of the agents making up these systems. This innovative textbook gives students and scientists the skills to design, implement, and analyze agent-based models. It starts with the fundamentals of modeling and provides an introduct...

The entertainment world is teeming with applications for expressive, adaptive agents. Many such applications feature some sort of “creatures” – anthropomorphic or non – that must maintain the illusion of life while interacting with one another, as well as with human participants. This chapter discusses approaches to implementing these creatures. It begins by describing an agent-based architectu...