Towards Analogy-Based Reasoning in Semantic Network

Milos Stojkovic1, Milan Trifunovic1, Dragan Misic1 and Miodrag Manic1

  1. Faculty of Mechanical Engineering in Nis
    Aleksandra Medvedeva 14, 18000 Nis, Serbia
    {milos.stojkovich, milantrifunovic, misicdr, miodrag.manich}@gmail.com

Abstract

In this paper an approach in realization of analogy-based reasoning in semantic networks is presented. New semantic model, called Active Semantic Model (ASM), was used. Core of the process is performed by ASM’s association (semantic relation) plexus upgrading procedure based on recognition and determining similarity between association plexuses. Determining similarity between association plexuses is performed by recognition of topological analogy between association plexuses. ASM responds to unpredicted input by upgrading new association plexus modeled on remainder of the context whose subset is recognized as topologically analogous association plexus.

Key words

Artificial Intelligence, Analogy-Based Reasoning, Active Semantic Model, Cognitive Data Processing, Semantic Features

Digital Object Identifier (DOI)

https://doi.org/10.2298/CSIS141103036S

Publication information

Volume 12, Issue 3 (August 2015)
Special Issue on Collaborative e-Communities
Year of Publication: 2015
ISSN: 1820-0214 (Print) 2406-1018 (Online)
Publisher: ComSIS Consortium

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How to cite

Stojkovic, M., Trifunovic, M., Misic, D., Manic, M.: Towards Analogy-Based Reasoning in Semantic Network. Computer Science and Information Systems, Vol. 12, No. 3, 979–1008. (2015)