Facing Openness with Socio-Cognitive Trust and Categories
Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence. Pages 400-404.
Abstract
Typical solutions for agents assessing trust relies on the circulation of information on the individual level, i.e. reputational images, subjective experi- ences, statistical analysis, etc. This work presents an alternative approach, inspired to the cognitive heuristics enabling humans to reason at a categorial level. The approach is envisaged as a crucial ability for agents in order to: (1) estimate trustworthiness of unknown trustees based on an ascribed mem- bership to categories; (2) learn a series of emer- gent relations between trustees observable proper- ties and their effective abilities to fulfill tasks in sit- uated conditions. On such a basis, categorization is provided to recognize signs (Manifesta) through which hidden capabilities (Kripta) can be inferred. Learning is provided to refine reasoning attitudes needed to ascribe tasks to categories. A series of ar- chitectures combining categorization abilities, indi- vidual experiences and context awareness are eval- uated and compared in simulated experiments.
@inproceedings{ijcai2011p75,
title = {Facing Openness with Socio-Cognitive Trust and Categories},
author = {Venanzi, Matteo and Piunti, Michele and Falcone, Rino and Castelfranchi, Cristiano},
booktitle = {Proceedings of the Twenty-Second International Joint Conference on
Artificial Intelligence, {IJCAI-11}},
publisher = {AAAI Press/International Joint Conferences on Artificial Intelligence},
editor = {Toby Walsh},
pages = {400--404},
year = {2011},
month = {7},
doi = {10.5591/978-1-57735-516-8/IJCAI11-075},
url = {https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-075},
}
TY - CPAPER TI - Facing Openness with Socio-Cognitive Trust and Categories AU - Venanzi, Matteo AU - Piunti, Michele AU - Falcone, Rino AU - Castelfranchi, Cristiano T2 - Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence, IJCAI-11 PB - AAAI Press/International Joint Conferences on Artificial Intelligence PY - 2011 SP - 400 EP - 404 DO - 10.5591/978-1-57735-516-8/IJCAI11-075 UR - https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-075 ER -Copied
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