Se trata de un estudio sobre en el tema de los Conocimientos Tradicionales de los Pueblos Indígenas, es decir, las experiencias asimiladas y sistematizadas, que han sido transmitidas mediante procesos informales colectivos, pudiendo ser compartidos en mayor o menor medida…

A solution of problems in multiagent systems involves representing beliefs of agents immersed in dynamic environments. Observation-based Defeasible Logic Programming (ODeLP) is an argument-based logic programming language that is used to represent an agent’s knowledge in the context of a…

Parallel machine scheduling, involves the allocation of jobs to the system resources (a bank of machines in parallel). A basic model consisting of m machines and n jobs is the foundation of more complex models. Here, jobs are allocated according…

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The construction of expert problem-solving systems requires the development of techniques for using modular representations of knowledge without encountering combinatorial explosions in the solution effort. This report describes an approach to dealing with this problem based on making some knowledge…

This paper studies the relationship of Artificial Intelligence to the study of language and the representation of the underlying knowledge which supports the comprehension process. It develops the view that intelligence is based on the ability to use large amounts…

La acogida en el debate internacional de los Conocimientos Tradicionales, confirma, si no su
configuración como modalidad de los derechos de Propiedad Intelectual, la gestación y rediseño
de nuevos escenarios de disputa en torno a las creaciones del intelecto humano.…

This report describes a domain independent reasoning system. The system uses a frame-based knowledge representation language and various reasoning techniques including constraint propagation, progressive refinement, natural deduction and explicit control of reasoning. A computational architecture based on active objects which…

(cont.) algorithm to identify the regulatory models from protein-DNA binding and gene expression data. These models to a large extent agree with the knowledge of gene regulation pertaining to the corresponding regulators. The three works in this thesis provide a…

With the advancement of technology, we are able to collect, store, and transmit an ever-increasing volume of data. However, our ability to extract useful patterns from this massive amount of data is still lagging behind. Machine learning and signal processing…