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Book Chapter

Switching between different ways to think

Details

Citation

Cambria E, Mazzocco T, Hussain A & Durrani T (2011) Switching between different ways to think. In: Esposito A, Vinciarelli A, Vicsi K, Pelachaud C & Nijholt A (eds.) Analysis of Verbal and Nonverbal Communication and Enactment. The Processing Issues: COST 2102 International Conference, Budapest, Hungary, September 7-10, 2010, Revised Selected Papers. Lecture Notes in Computer Science, 6800. Berlin Heidelberg: Springer, pp. 56-69. http://link.springer.com/chapter/10.1007%2F978-3-642-25775-9_5#; https://doi.org/10.1007/978-3-642-25775-9_5

Abstract
Emotions are different Ways to Think that our mind triggers to deal with different situations we face in our lives. Our ability to reason and make decisions, in fact, is strictly dependent on both our common sense knowledge about the world and our inner emotional states. This capability, which we call affective common sense reasoning, is a fundamental component in human experience, cognition, perception, learning and communication. For this reason, we cannot prescind from emotions in the development of intelligent user interfaces: if we want computers to be really intelligent, not just have the veneer of intelligence, we need to give them the ability to recognize, understand and express emotions. In this work, we argue how graph mining, multi-dimensionality reduction, clustering and space transformation techniques can be used on an affective common sense knowledge base to emulate the process of switching between different perspectives and finding novel ways to look at things.

Keywords
Sentic Computing; AI; Semantic Web; NLP; Cognitive and Affective Modeling; Opinion Mining and Sentiment Analysis

StatusPublished
Title of seriesLecture Notes in Computer Science
Number in series6800
Publication date31/12/2011
PublisherSpringer
Publisher URL
Place of publicationBerlin Heidelberg
ISSN of series0302-9743
ISBN978-3-642-25774-2

People (1)

Professor Tariq Durrani

Professor Tariq Durrani

Honorary Professor, Computing Science