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Abstract
It is reasonable to assume that in the next few decades, intelligent
machines might become much more proficient at socialising. This
implies that the AI community will face the challenges of identifying,
understanding, and dealing with the different types of social behaviours
these intelligent machines could exhibit. Given these potential challenges,
we aim to model in this paper three of the most studied strategic social
behaviours that could be adopted by autonomous and malicious software
agents. These are dishonest behaviours such as lying, bullshitting, and
deceiving that autonomous agents might exhibit by taking advantage of
their own reasoning and communicative capabilities. In contrast to other
studies on dishonest behaviours of autonomous agents, we use an agentoriented
programming language to model dishonest agents’ attitudes and
to simulate social interactions between agents. Through simulation, we
are able to study and propose mechanisms to identify and later to deal
with such dishonest behaviours in software agents.
machines might become much more proficient at socialising. This
implies that the AI community will face the challenges of identifying,
understanding, and dealing with the different types of social behaviours
these intelligent machines could exhibit. Given these potential challenges,
we aim to model in this paper three of the most studied strategic social
behaviours that could be adopted by autonomous and malicious software
agents. These are dishonest behaviours such as lying, bullshitting, and
deceiving that autonomous agents might exhibit by taking advantage of
their own reasoning and communicative capabilities. In contrast to other
studies on dishonest behaviours of autonomous agents, we use an agentoriented
programming language to model dishonest agents’ attitudes and
to simulate social interactions between agents. Through simulation, we
are able to study and propose mechanisms to identify and later to deal
with such dishonest behaviours in software agents.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 20th International Trust Workshop |
| Subtitle of host publication | co-located with AAMAS/IJCAI/ECAI/ICML (AAMAS/IJCAI/ECAI/ICML 2018) |
| Place of Publication | Stockholm, Sweden, July 14, 2018 |
| Publisher | CEUR-WS |
| Pages | 50-61 |
| Number of pages | 12 |
| Volume | 2154 |
| Publication status | Published - 2018 |
Keywords
- Deception
- lying
- Agent based modelling
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Modelling Deception using Theory of Mind in Multi-Agent Systems
Sarkadi, S., Panisson, A. R., Bordini, R. H., McBurney, P. J., Parsons, S. D. & Chapman, M. D., 2019, In: AI COMMUNICATIONS. 32, 4, p. 287-302 16 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile34 Citations (Scopus)617 Downloads (Pure) -
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Panisson, A. R., Sarkadi, S., McBurney, P. J., Parsons, S. D. & Bordini, R. H., 6 Dec 2018, Proceedings of the 6th International Conference on Agreement Technologies: co-located with EUMAS 2018. 15 p.Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
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Towards an Approach for Modelling Uncertain Theory of Mind in Multi-Agent Systems
Sarkadi, S., Panisson, A. R., Bordini, R. H., McBurney, P. J. & Parsons, S. D., 6 Dec 2018, Proceedings of the 6th International Conference on Agreement Technologies: co-located with EUMAS 2018. 15 p.Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
Open AccessFile