En este trabajo se investigan nuevas distancias entre fonemas y entre palabras que se
han usado para predecir si dos palabras del vocabulario de un sistema de reconocimiento del
habla se van a confundir o no. La distancia entre palabras…

The ability of building robust semantic space representations of environments is crucial for the development of truly autonomous robots. This task, inherently connected with cognition, is traditionally achieved by training the robot with a supervised learning phase. We argue that…

The computational metaphor which proposes the comparison of processes of mind to realizable or imaginable computer activities suggests a number of educational concerns. This paper discusses some of those concerns including procedural modes of knowledge representation and control knowledge ??owing…

This paper deals with the "Calculus of Knowledge", an extension of the propositional calculus in which one may reason about what other people know. Semantic and Syntactic systems are developed, certain theorems are proven, and a formal solution in the…

A transmitter antenna array has the ability to direct data simultaneously to multiple
receivers within a wireless network, creating potential for a more integrated view of
algorithmic system components. In this thesis, such a perspective informs the design
of two…

This case study discusses ethical obligations regarding the extent and scope of knowledge dissemination and restitution strategies in the context of global health research., Cette étude de cas porte sur les obligations éthiques concernant l’étendue et la portée des stratégies…

In the present paper I describe the conceptual level of representation of a database, currently in development, which aims at fulfilling the Functional-Lexematic model. I will concentrate on the semantic component, as it is central for the theory of Functional…

There are multiple sorts of reasoning by analogy between two domains; the one with which we are concerned is a type of contextual analogy. The purpose of this paper is to see whether two domains that look analogous would be…

Humans recognize optical reflectance properties of surfaces such as metal, plastic, or paper from a single image without knowledge of illumination. We develop a machine vision system to perform similar recognition tasks automatically. Reflectance estimation under unknown, arbitrary illumination proves…

In this paper, a supervised learning system of word sense disambiguation is presented. It is based on conditional maximum entropy models. This system acquires the linguistic knowledge from an annotated corpus and this knowledge is represented in the form of…