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Aiming to represent individuals in a very realistic way, several works have attempted to introduce personality characteristics into artificial agents, usually based on theories of human personality. However, different theories require different structures in the agent architecture, reflecting on the way they influence agent behavior. This paper presents a… (More)
This paper presents the general aspects of the MASim methodology, aimed for the development of agent-based simulations. MASim employs features common to the development of agent-based software as well as to the development of simulation models. It also borrows concepts used in mainstream of the software engineering process.
In this paper we present a web-based simulation of autonomous software agents enabling the user to change interactively their behavior. The simulation is implemented in the Java language in order to be incorporated into Web pages and run remotely. The main goal of this work is to study web-based exploration environments, allowing on-line changes on the… (More)
The use of intelligent agents in the structure of multiclassifier systems has been investigated in order to overcome some drawbacks of these systems and, as a consequence, to improve the performance of such systems. As a result of this, the NeurAge system was proposed. This system has presented good results in some centralized and distributed classification… (More)
We present a process-oriented approach to specify personality-based behaviors in agents. The main aim is to make the agents able to reason about their choices following a preferred reasoning strategy according to a personality type. With this method, the decision-making of the agent becomes flexible enough to be reused in different scenarios while staying… (More)
The NeurAge (Neural agents) system has been proposed as an alternative to transform the centralized decision making process of a multi-classifier system into a distributed, flexible and incremental one. This system has presented good results in some conventional (centralized) classification tasks. Nevertheless, in some classification tasks, relevant… (More)
Simulations based on cognitively rich agents can become a very intensive computing task, especially when the simulated world represents a complex system. Those simulations can however benefit from optimizations coming from the way in which agents react to changes in the simulated environment. This paper presents an approach for improving the efficiency of… (More)