Abstract
We explore a means to understand second order emergent social phenomena (EP2), that is, phenomena that involve groups of agents who reason and decide, specifically, about actions – theirs or others’ – that may affect the social environment where they interact with other agents. We propose to model such phenomena as socio-cognitive technical systems that involve, on one hand, agents that are imbued with social rationality (thus socio-cognitive) and, on the other hand, a social space where they interact. For that modelling we rely on the WIT framework that defines such socio-cognitive technical systems as a trinity of aspects (the social phenomenon, the simulation model and the implementation of that model). In this paper we centre our attention on the use of affordances as a useful construct to model socio-cognitive technical systems. We use the example of reputation emergence to illustrate our proposal.
| Original language | English |
|---|---|
| Title of host publication | AAMAS 2017 Workshops Visionary Papers |
| Editors | Gita Sukthankar, Juan Antonio Rodriguez |
| Publisher | Springer International Publishing |
| Volume | 10643 |
| ISBN (Electronic) | 978-3-319-71679-4 |
| ISBN (Print) | 978-3-319-71678-7 |
| Publication status | E-pub ahead of print - 25 Nov 2017 |
Publication series
| Name | Lecture Notes in Artificial Intelligence |
|---|---|
| Publisher | Springer International Publishing |
Fingerprint
Dive into the research topics of 'Identifying affordances for modelling second-order emergent phenomena with the WIT framework'. Together they form a unique fingerprint.Profiles
-
Julian Padget
- Department of Computer Science - Reader
- EPSRC Centre for Doctoral Training in Statistical Applied Mathematics (SAMBa)
- Water Innovation and Research Centre (WIRC)
- UKRI CDT in Accountable, Responsible and Transparent AI
- Centre for Therapeutic Innovation
- Artificial Intelligence and Machine Learning
- IAAPS
- Innovation Bridge
- Institute for Digital Security and Behaviour (IDSB)
- Institute for Mathematical Innovation (IMI)
- Centre for Artificial Intelligence
Person: Research & Teaching, Core staff, Affiliate staff
Cite this
- APA
- Standard
- Harvard
- Vancouver
- Author
- BIBTEX
- RIS