Abstract
This paper proposes the notion of experience to help situate agents in their environment, providing a link on how the continually evolving environment impacts the evolution of an agent's BDI model and vice versa. Then, using the notion of shared experience as a primitive construct, we develop a novel formal model of shared intention which we believe more adequately describes social behaviour than traditional BDI logics that focus on individual agents. Whilst many philosophers have argued that collective intentionality cannot always be equated to the collection of the individual agents' intentions, there has been no AI model that addresses this issue. We believe this is the first attempt to develop an explicit notion of shared experience from an AI perspective.
| Original language | English |
|---|---|
| Title of host publication | Proceedings, IECON 2013 - 39th Annual Conference of the IEEE Industrial Electronics Society |
| Publisher | IEEE |
| Pages | 6654-6659 |
| Number of pages | 6 |
| ISBN (Electronic) | 9781479902248 |
| DOIs | |
| Publication status | Published - 10 Nov 2013 |
| Event | 39th Annual Conference of the IEEE Industrial Electronics Society, IECON 2013 - Vienna, Austria Duration: 10 Nov 2013 → 14 Nov 2013 |
Publication series
| Name | IECON Proceedings (Industrial Electronics Conference) |
|---|---|
| Publisher | IEEE |
| ISSN (Print) | 1553-572X |
Conference
| Conference | 39th Annual Conference of the IEEE Industrial Electronics Society, IECON 2013 |
|---|---|
| Country/Territory | Austria |
| City | Vienna |
| Period | 10/11/13 → 14/11/13 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 9 Industry, Innovation, and Infrastructure
Fingerprint
Dive into the research topics of 'An experience-based BDI logic: Motivating shared experiences and intentionality'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver