Deception

Stefan Sarkadi

doi:10.24963/ijcai.2018/834

Deception

Stefan Sarkadi

Informatics

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

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Abstract

Recent events that revolve around fake news indicate
that humans are more susceptible than ever
to mental manipulation by powerful technological
tools. In the future these tools may become autonomous.
One crucial property of autonomous
agents is their potential ability to deceive. From
this research we hope to understand the potential
risks and benefits of deceptive artificial agents. The
method we propose to study deceptive agents is by
making them interact with agents that detect deception
and analyse what emerges from these interactions
given multiple setups such as formalisations
of scenarios inspired from historical cases of deception

Original language	English
Title of host publication	Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence
Publisher	IJCAI-INT JOINT CONF ARTIF INTELL
Pages	5781-5782
Number of pages	2
DOIs	https://doi.org/10.24963/ijcai.2018/834
Publication status	Published - 2018

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10.24963/ijcai.2018/834

Deception (Extended Abstract)Final published version, 56.2 KB

https://www.ijcai.org/proceedings/2018/834

2 Conference paper
1 Article

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 Access
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34 Citations (Scopus)

617 Downloads (Pure)
On the Formal Semantics of Theory of Mind in Agent Communication
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

Open Access
File
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 Access
File

Cite this

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title = "Deception",

abstract = "Recent events that revolve around fake news indicatethat humans are more susceptible than everto mental manipulation by powerful technologicaltools. In the future these tools may become autonomous.One crucial property of autonomousagents is their potential ability to deceive. Fromthis research we hope to understand the potentialrisks and benefits of deceptive artificial agents. Themethod we propose to study deceptive agents is bymaking them interact with agents that detect deceptionand analyse what emerges from these interactionsgiven multiple setups such as formalisationsof scenarios inspired from historical cases of deception",

author = "Stefan Sarkadi",

year = "2018",

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DO - 10.24963/ijcai.2018/834

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BT - Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence

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Deception

Abstract

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Research output

Modelling Deception using Theory of Mind in Multi-Agent Systems

On the Formal Semantics of Theory of Mind in Agent Communication

Towards an Approach for Modelling Uncertain Theory of Mind in Multi-Agent Systems

Cite this