Conference proceeding
Autonomous Swarm Agents Using Case-Based Reasoning
ARTIFICIAL INTELLIGENCE XXXV (AI 2018), v 11311
01 Jan 2018
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Dynamic planning is a hot topic in autonomous computing. This work presents a novel approach of simulating swarm computing behaviour in a sandbox environment where swarms of robots are challenged to fight against each other with a goal of "conquering" any environment bases. Swarm strategies are being used which are decided, modified and applied at run time. Autonomous swarm agents seem surprisingly applicable to several problems where combined artificial intelligence agents are challenged to generate innovative solutions and evaluate them prior to proposing or adopting the best possible one. This work is applicable in areas where AI agents should make selections close to real time within a range of available options under a multi-constraint, multi-objective mission environment. Relevance to Business Process workflows is also presented and documented.
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Details
- Title
- Autonomous Swarm Agents Using Case-Based Reasoning
- Creators
- Daniel O'Connor - Keble College, Oxford University, Oxford, UK.Stelios Kapetanakis - University of BrightonGeorgios Samakovitis - University of GreenwichMichael Floyd - Knexus ResearchSantiago Ontanon - Drexel UniversityMiltos Petridis - Middlesex University
- Contributors
- M Bramer (Editor)M Petridis (Editor) - Middlesex University
- Publication Details
- ARTIFICIAL INTELLIGENCE XXXV (AI 2018), v 11311
- Series
- Lecture Notes in Artificial Intelligence
- Publisher
- Springer Nature
- Number of pages
- 7
- Grant note
- European Defence Agency (EDA) UK Nuffield Research
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Computer Science
- Web of Science ID
- WOS:000672749000020
- Scopus ID
- 2-s2.0-85058413509
- Other Identifier
- 991019167740904721
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- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Computer Science, Artificial Intelligence
- Computer Science, Theory & Methods