Algorithms for Trade Modeling with Agent-Based Systems

a new type-ii fuzzy logic based controller for non-linear dynamical systems with application to 3-psp parallel robot

abstract type-ii fuzzy logic has shown its superiority over traditional fuzzy logic when dealing with uncertainty. type-ii fuzzy logic controllers are however newer and more promising approaches that have been recently applied to various fields due to their significant contribution especially when the noise (as an important instance of uncertainty) emerges. during the design of type- i fuz...

Agent-Based Modeling for Systems of Systems

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...

Agent-Based Modeling for Holonic Manufacturing Systems with Fuzzy Control

Agent-based systems technologies are of emerging interest in the specification and implementation of complex systems. This article introduces the CASA agent development system which seamlessly combines the BDI (Belief Desire Intention) approach with the FIPA agent communication language standard and an integrated specification of fuzzy controllers. The behavior of agents is defined by strategie...

Modeling Lateral Communication in Holonic Multi Agent Systems

Agents, in a multi agent system, communicate with each other through the process of exchanging messages which is called dialogue. Multi agent organization is generally used to optimize agents’ communications. Holonic organization demonstrates a self-similar recursive and hierarchical structure in which each holon may include some other holons. In a holonic system, lateral communication occurs b...

Agent-based Modeling and Geographical Information Systems