Luis Mateus Rocha

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We present a new definition of the concept of representation for cognitive science that is based on a study of the origin of structures that are used to store memory in evolving systems. This study consists of novel computer experiments in the evolution of cellular automata to perform nontrivial tasks as well as evidence from biology concerning genetic(More)
The focus for information retrieval systems in digital libraries has shifted from passive repositories of information to recommendation systems that actively participate in retrieving useful information, and can furthermore learn from the retrieval behavior of users. We propose a novel evaluation methodology for such systems based on the concepts of shared(More)
We participated in the BioCreAtIvE Task 2, which addressed the annotation of proteins into the Gene Ontology (GO) based on the text of a given document and the selection of evidence text from the document justifying that annotation. We approached the task utilizing several combinations of two distinct methods: an unsupervised algorithm for expanding words(More)
Typical applications of evolutionary optimization in static environments involve the approximation of the extrema of functions. For dynamic environments, the interest is not to locate the extrema but to follow it as closely as possible. This paper compares the extrema-tracking performance of a traditional Genetic Algorithm and a coevolutionary agent-based(More)
Zadeh’s Fuzzy Sets are extended with the Dempster-Shafer Theory of Evidence into a new mathematical structure called Evidence Sets, which can capture more efficiently all recognized forms of uncertainty in a formalism that explicitly models the subjective context dependencies of linguistic categories. A belief-based theory of Approximate Reasoning is(More)
We present a soft computing recommendation system named TalkMine, to advance adaptive web and digital library technology. TalkMine leads different databases or websites to learn new and adapt existing keywords to the categories recognized by its communities of users. It uses distributed artificial intelligence algorithms and soft computing technology.(More)
The notion of conceptual structure in CA rules that perform the density classification task (DCT) was introduced by [1]. Here we investigate the role of process-symmetry in CAs that solve the DCT, in particular the idea of conceptual similarity, which defines a novel search space for CA rules. We report on two new process-symmetric onedimensional rules for(More)
Photodynamic therapy (PDT) with current photosensitisers focuses on local effects and these are limited by light penetration in tissues. We employ a stable near-infrared (NIR) absorbing bacteriochlorin with ca. 8h plasma half-life to increase the depth of the treatment and elicit strong systemic (immune) responses. Primary tumour growth delays and cures of(More)