Conference item
Reasoning about cognitive trust in stochastic multiagent systems
- Abstract:
-
We consider the setting of stochastic multiagent systems and formulate an automated verification framework for quantifying and reasoning about agents’ trust. To capture human trust, we work with a cognitive notion of trust defined as a subjective evaluation that agent A makes about agent B’s ability to complete a task, which in turn may lead to a decision by A to rely on B. We propose a probabilistic rational temporal logic PRTL*, which extends the logic PCTL* with reasoning about mental atti...
Expand abstract
- Publication status:
- Published
- Peer review status:
- Peer reviewed
Actions
Access Document
- Files:
-
-
(Accepted manuscript, pdf, 129.5KB)
-
Why is the content I wish to access not available via ORA?
Bibliographic data (the information relating to research outputs) and full-text items (e.g. articles, theses, reports, etc.) arrive in ORA from several different sources. Unfortunately we are not able to make available the full-text for every research output.
Please contact the ORA team (
) if you have queries regarding unavailable content OR if you are aware of a full-text copy we can make available.
) if you have queries regarding unavailable content OR if you are aware of a full-text copy we can make available.
Content may be unavailable for the following four reasons
-
Version unsuitable
-
We have not obtained a suitable full-text for a given research output. See this page for more information.
-
Recently completed
-
Sometimes content is held in ORA but is unavailable for a fixed period of time to comply with the policies and wishes of rights holders.
-
Permissions
-
All content made available in ORA should comply with relevant rights, such as copyright. See this page for more information.
-
Clearance
-
Some thesis volumes scanned as part of the digitisation scheme funded by Dr Leonard Polonsky are currently unavailable due to sensitive material or uncleared third-party copyright content. We are attempting to contact authors whose theses are affected.
Alternative access to the full-text
You may be able to access the full-text directly from the publisher's website using the 'Publisher Copy' link in the 'Links & Downloads' box from a research output's ORA record page. This method may require an institutional or individual subscription to the journal/resource.
Authors
Funding
Bibliographic Details
- Publisher:
- Association for the Advancement of Artificial Intelligence. Publisher's website
- Journal:
- AAAI Conference on Artificial Intelligence Journal website
- Host title:
- 31st AAAI Conference on Artificial Intelligence
- Publication date:
- 2017-02-01
- Acceptance date:
- 2016-12-10
- Source identifiers:
-
664977
Item Description
- Pubs id:
-
pubs:664977
- UUID:
-
uuid:6cb83562-1e26-4375-8da1-ce0a63487895
- Local pid:
- pubs:664977
- Deposit date:
- 2016-12-12
Terms of use
- Copyright holder:
- Association for the Advancement of Artificial Intelligence
- Copyright date:
- 2017
- Notes:
- Copyright © 2017, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved.
If you are the owner of this record, you can report an update to it here: Report update to this record