Guilherme Bittencourt

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This paper presents a generic model for a cognitive agent based on the hypothesis that the cognitive activity has three main characteristics: self-organization, evolutionary nature and history dependence. According to this model, a cognitive agent presents three levels: reactive, instinctive and cognitive. Each level, together with its lower levels, is(More)
This article presents an algorithm that, besides calculating the number of models of a propositional logic theory, also determines the distribution of these models among the terms of a disjunctive normal form representation of the theory. Using prime implicants to represent the target theory, in a knowledge compilation context, we discuss how this(More)
BACKGROUND The diagnosis of alcohol use disorder is based on clinical signs and on the measurement of biological markers. However, these markers are neither sufficiently sensitive, nor specific enough, for determining the effects of alcohol abuse on the central nervous system. Serum neurotrophins are important regulators of neural survival, development,(More)
This paper proposes to use prime implicants and prime implicates normal forms to represent belief sets. This representation is used, on the one hand, to define syntactical versions of belief change operators that also satisfy the rationality postulates but present better complexity properties than those proposed in the literature and, on the other hand, to(More)
In the Web, extractor agents process classes of pages (like 'call for papers' pages, researchers' pages, etc), neglecting the relevant fact that some of them are interrelated forming clusters (e.g., science). We propose here an architecture for cognitive multi-agent systems to retrieve and classify pages from these clusters, based on data extraction. To(More)
In this paper we propose a multi-agent intelligent tutoring system building tool that integrates different formalisms in order to facilitate the teacher task of developing the contents of a tutorial system and at the same time to provide adaptiveness and flexibility in the presentation. The adopted formalisms are ground logic terms for the student model,(More)
Embodied Evolution is a research area in Evolutionary Robotics in which the evolutionary algorithm is entirely decentralized among a population of robots. Evaluation, selection and reproduction are carried out by and between the robots, without any need for human intervention. This paper describes a new Evolutionary Control System (ECS) able to control a(More)