Designing a knowledge representation interface for cognitive agents

Timea Bagosi*, Joachim de Greeff, Koen V. Hindriks, Mark A. Neerincx

*Corresponding author for this work

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

Abstract

The design of cognitive agents involves a knowledge representation (KR) to formally represent and manipulate information relevant for that agent. In practice, agent programming frameworks are dedicated to a specific KR, limiting the use of other possible ones. In this paper we address the issue of creating a flexible choice for agent programmers regarding the technology they want to use. We propose a generic interface, that provides an easy choice of KR for cognitive agents. Our proposal is governed by a number of design principles, an analysis of functional requirements that cognitive agents pose towards a KR, and the identification of various features provided by KR technologies that the interface should capture. We provide two use-cases of the interface by describing its implementation for Prolog and OWL with rules.

Original languageEnglish
Title of host publicationEngineering Multi-Agent Systems - 3rd International Workshop, EMAS 2015, Revised, Selected, and Invited Papers
EditorsMehdi Dastani, Matteo Baldoni, Luciano Baresi
PublisherSpringer/Verlag
Pages33-50
Number of pages18
ISBN (Print)9783319261836
DOIs
Publication statusPublished - 1 Jan 2015
Externally publishedYes
Event3rd International Workshop on Engineering Multi-Agent Systems, EMAS 2015 - Istanbul, Turkey
Duration: 5 May 20155 May 2015

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9318
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference3rd International Workshop on Engineering Multi-Agent Systems, EMAS 2015
CountryTurkey
CityIstanbul
Period5/05/155/05/15

Keywords

  • Agent programming framework
  • Generic interface design
  • Knowledge representation technology

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