Simulation can be defined as, " an imitation or representation, as of potential situation or in experimental testing. " It can also be defined as, " representation of the operation or features of one process or system through the use of another " [8]. Today, simulation is used for purposes ranging from work flow representation to military procedures. The question remains then-what techniques ar...

• J. Carmo and O. Pacheco, “Deontic and action logics for organized collective agency, modeled through institutionalized agents and roles”, Fundamenta Informaticae, Special Issue on Deontic Logic in Computer Science, Vol 48, Numbers 2,3, pp. 129-163, 2001 • O. Pacheco and J. Carmo, “A Role Based Model for the Normative Specification of Organized Collective Agency and Agents Interaction”, Journa...

In the present paper we show that a set of self-organizing modules can produce complex Behaviors in a robot consisting of a Car that carries an articulated arm. The free end of the arm has an IR sensor that senses an environmental IR Beacon. The self-organization is implemented through self-inactivating modules. Every module moves, stepwise, a different motor(or set of concurrent motors) of the...

Whereas the main objective of Artificial Intelligence is to develop systems that emulate the intellectual and interaction abilities of a human being the Distributed Artificial Intelligence pursues the same objective but focusing on human being societies (O’Hare et al., 2006). A paradigm in current use for the development of Distributed Artificial Intelligence is based on the notion of multi-age...

Based on an multi-agent optimization method for complex system design with adaptive partitioning of the design space, we propose a new multi-agent method to discover all the local optima using self-organizing mechanisms of creation and destruction of agents, with a limited number of expensive function calls. Each agent is responsible for the discovery of local optima in its own partition of the...

In this paper we propose a self-organizing mechanism to model adaptive multi-agent systems. The mechanism is inspired in a psychological approach of motivation. Under this approach motivation is an internal state or condition that serves to activate or energize behavior and give it direction. Thus, we propose an intrinsic motivation or reason for engaging in a particular behavior called goal-ac...

in previous papers authors have considered agents as inertia-less self driven particles and designed a flocking algorithm. application of this algorithm to agents with considerable inertial characteristics needs a behavioural controller. the controller uses the local information and helps every agent to imitate the desired behaviour as a member of the flocking frame which covers the main issue ...