Title | ||
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A Developmental Cognitive Architecture for Trust and Theory of Mind in Humanoid Robots |
Abstract | ||
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As artificial systems are starting to be widely deployed in real-world settings, it becomes critical to provide them with the ability to discriminate between different informants and to learn from reliable sources. Moreover, equipping an artificial agent to infer beliefs may improve the collaboration between humans and machines in several ways. In this article, we propose a hybrid cognitive archit... |
Year | DOI | Venue |
---|---|---|
2022 | 10.1109/TCYB.2020.3002892 | IEEE Transactions on Cybernetics |
Keywords | DocType | Volume |
Games,Biological system modeling,Computational modeling,Brain modeling,Humanoid robots | Journal | 52 |
Issue | ISSN | Citations |
3 | 2168-2267 | 0 |
PageRank | References | Authors |
0.34 | 0 | 2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Massimiliano Patacchiola | 1 | 31 | 5.55 |
Angelo Cangelosi | 2 | 419 | 75.30 |