Modeling swarm robotics with knowlang

Emil Vassev, Mike Hinchey

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

Abstract

Swarm robotics has emerged as a paradigm whereby intelligent agents are considered to be autonomous entities that interact either cooperatively or non-cooperatively. The concept is biologically-inspired and offers many advantages compared with single-agent systems, such as: greater redundancy, reduced costs and risks, and the ability to distribute the overall work among swarm members, which may result in greater efficiency and performance. The distributed and local nature of these systems is the main factor in the high degree of parallelism displayed by their dynamics that often results in adaptation to changing environmental conditions and robustness to failure. This paper presents a formal approach to modeling self-adaptive behavior for swarm robotics. The approach relies on the KnowLang language, a formal language dedicated to knowledge representation for self-adaptive systems.

Original languageEnglish
Title of host publicationNature of Computation and Communication - International Conference, ICTCC 2014, Revised Selected Papers
EditorsPhan Cong Vinh, Emil Vassev, Mike Hinchey
PublisherSpringer Verlag
Pages13-22
Number of pages10
ISBN (Electronic)9783319153919
DOIs
Publication statusPublished - 2015
EventInternational Conference on Nature of Computation and Communication, ICTCC 2014 - Ho Chi Minh City, Viet Nam
Duration: 24 Nov 201425 Nov 2014

Publication series

NameLecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
Volume144
ISSN (Print)1867-8211

Conference

ConferenceInternational Conference on Nature of Computation and Communication, ICTCC 2014
Country/TerritoryViet Nam
CityHo Chi Minh City
Period24/11/1425/11/14

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