Abstract
Normative capabilities in multi-agent systems (MAS)canberepresentedwithinagents,separately asinstitutions,orablendofthetwo. Thispaperaddresses how to extend the principles of open MAS to the provision of normative reasoning capabilities, which are currently either embedded in existing MAS platforms – tightly coupled and inaccessible – or not present. Weusearesource-orientedarchitecture(ROA)pattern, that we call deontic sensors, to make normative reasoning part of an open MAS architecture. The pattern specifies how to loosely couple MAS and normative frameworks, such that each is agnostic of the other, while augmenting the brute factsthatanagentperceiveswithinstitutionalfacts, that capture each institution’s interpretation of an agent’s action. In consequence, a MAS without normative capabilities can acquire them, and an embeddednormativeframeworkcanbede-coupled and opened to other MAS platforms. Moreimportantly,thedeonticsensorpatternallows normative reasoning to be published as services, opening routes to certification and re-use, creation of (formalized) trust and non-specialist access to “on demand” normative reasoning.
Original language | English |
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Title of host publication | International Joint Conference on Artificial Intelligence 2018 |
Subtitle of host publication | IJCAI-18 |
Editors | Jerome Lang |
Publisher | International Joint Conferences on Artificial Intelligence |
Pages | 475-481 |
Number of pages | 7 |
ISBN (Electronic) | 978-0-9992411-2-7 |
DOIs | |
Publication status | Published - 13 Jul 2018 |
Event | International Joint Conference On Artificial Intelligence 2018 - Stockholm, Sweden Duration: 13 Jul 2018 → 19 Jul 2018 https://www.ijcai-18.org/ |
Conference
Conference | International Joint Conference On Artificial Intelligence 2018 |
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Abbreviated title | IJCAI-ECAI-18 |
Country/Territory | Sweden |
City | Stockholm |
Period | 13/07/18 → 19/07/18 |
Internet address |
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Marina De Vos
- Department of Computer Science - Senior Lecturer
- Centre for Mathematical Biology
- UKRI CDT in Accountable, Responsible and Transparent AI
- Centre for Therapeutic Innovation
- Artificial Intelligence and Machine Learning
- Innovation Bridge
Person: Research & Teaching, Core staff