An evolutionist approach to information bipolarity: Representations and affects in human cognition

Authors:
Eric Raufaste;Stéphane Vautier
Affiliations:
Centre National de la Recherche Scientifique (CLLE-LTC, UMR 5263) and University of Toulouse, MDR, 5 Allées Machado F-31058 Toulouse Cedex 9, France;Octogone-CERPP, MDR, University of Toulouse, 5 Allées Machado F-31058 Toulouse Cedex 9, France
Venue:
International Journal of Intelligent Systems
Year:
2008

Citing 0
Cited 5

Lattices of fuzzy sets and bipolar fuzzy sets, and mathematical morphology

Information Sciences: an International Journal
Bivariate models of optimism and pessimism in multi-criteria decision-making based on intuitionistic fuzzy sets

Information Sciences: an International Journal
A multimeasure approach to optimism and pessimism in multiple criteria decision analysis based on Atanassov fuzzy sets

Expert Systems with Applications: An International Journal
A comparative study of optimistic and pessimistic multicriteria decision analysis based on atanassov fuzzy sets

Applied Soft Computing
Mathematical morphology on bipolar fuzzy sets: general algebraic framework

International Journal of Approximate Reasoning

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper investigates the psychological plausibility of the bipolarity concept, i.e., that positive and negative kinds of information are treated differently. Sections 2 and 3 review relevant investigations of the representational and affective systems in the experimental psychology literature. Section 4 provides new data supporting the idea that even when considering how affective changes occur, a certain level of independence exists between the positive and negative sides of affect. Together the studies reported here strongly support the psychological plausibility of bipolarity: Positive and negative kinds of information are not processed in the same way whichever domain is considered, preferences (affect) or beliefs (mental categories). © 2008 Wiley Periodicals Inc.