Distributed stock exchange scenario using artificial emotional knowledge

Daniel Cabrera-Paniagua, Tiago Thompsen Primo, CLAUDIO ALONSO CUBILLOS FIGUEROA

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

The current globalization and distribution of markets has meant that companies and organizations frequently need to adapt their internal structure and operating processes, in order to demonstrate efficiency and effectiveness for every customers and users, specially when considering aspects that are beyond logical definitions, such as the emotions. To cope with that, this work proposes an alternative to model the distributed Stock Exchange Scenario with ontologies. The proposed model considers that each investor can invest using information obtained by communication with different traders or investors. Each investor has its own knowledge represented by ontologies, which is composed by technical knowledge together with internal emotional states. Our preliminary results, shows the possibility to use ontologies as knowledge representation mechanisms for domains that consider the human emotional dimension for decision-making processes.

Original languageEnglish
Pages (from-to)649-659
Number of pages11
JournalLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8864
DOIs
StatePublished - 2014
Externally publishedYes

Keywords

  • Emotions
  • Investor
  • Ontology

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