Conceptual spaces and consciousness: Integrating cognitive and affective processes

In the book Conceptual Spaces: the Geometry of Thought [2000] Peter Gärdenfors proposes a new framework for cognitive science. Complementary to symbolic and subsymbolic [connectionist] descriptions, conceptual spaces are semantic structures constructed from empirical data representing the universe of mental states. We argue that Gärdenfors' modeling can be used in consciousness research to describe the phenomenal conscious world, its elements and their intrinsic relations. The conceptual space approach affords the construction of a universal state space of human consciousness, where all possible kinds of human conscious states could be mapped. Starting from this approach, we discuss the inclusion of feelings and emotions in conceptual spaces, and their relation to perceptual and cognitive states. Current debate on integration of affect/emotion and perception/cognition allows three possible descriptive alternatives: emotion resulting from basic cognition; cognition resulting from basic emotion, and both as relatively independent functions integrated by brain mechanisms. Finding a solution for this issue is an important step in any attempt of successful modeling of natural or artificial consciousness. After making a brief review of proposals in this area, we summarize the essentials of a new model of consciousness based on neuro-astroglial interactions. © 2011 World Scientific Publishing Company.

New contributions to the analysis of poverty: methodological and conceptual challenges to understanding poverty from a gender perspective

Includes bibliography

Juventud y desarrollo rural: marco conceptual y contextual

Incluye Bibliografía

Desarrollo de infraestructura y crecimiento económico: revisión conceptual

Incluye Bibliografía

A Markov random field model for combining optimum-path forest classifiers using decision graphs and game strategy approach

The research on multiple classifiers systems includes the creation of an ensemble of classifiers and the proper combination of the decisions. In order to combine the decisions given by classifiers, methods related to fixed rules and decision templates are often used. Therefore, the influence and relationship between classifier decisions are often not considered in the combination schemes. In this paper we propose a framework to combine classifiers using a decision graph under a random field model and a game strategy approach to obtain the final decision. The results of combining Optimum-Path Forest (OPF) classifiers using the proposed model are reported, obtaining good performance in experiments using simulated and real data sets. The results encourage the combination of OPF ensembles and the framework to design multiple classifier systems. © 2011 Springer-Verlag.

El capital social en cinco localidades rurales en Chile: marco conceptual y metodológico

Incluye Bibliografía

Vulnerabilidad y grupos vulnerables: un marco de referencia conceptual mirando a los jóvenes

Incluye Bibliografía

Acercamiento conceptual a la situación del adulto mayor en América Latina

Incluye Bibliografía

Guía conceptual y metodológica para instructores de cursos de capacitación de INFOPLAN

Incluye Bibliografía

Categorías DEVSIS: esquema clasificatorio y conceptual

Incluye Bibliografía

Descentralización fiscal: marco conceptual

Incluye Bibliografía

Desarrollo social y planificación social: estudio de problemas conceptuales = Social development and social planning: a survey of conceptual and practical problems in Latin America

Incluye Bibliografía

Conceptual aspects of privatization

Includes bibliography