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Deceptive AI : First International Workshop, DeceptECAI 2020, Santiago de Compostela, Spain, August 30, 2020 and Second International Workshop, DeceptAI 2021, Montreal, Canada, August 19, 2021, Proceedings
Modelling Strategic Deceptive Planning in Adversarial Multi-agent Systems
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Author(s):
Lyndon Benke
,
Michael Papasimeon
,
Tim Miller
Publication date
(Online):
January 01 2022
Publisher:
Springer International Publishing
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An Introduction to MultiAgent Systems
M. WOOLDRIDGE
,
M Wooldridge
,
M.J. WOOLDRIDGE
…
(2002)
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Acting Deceptively: Providing Robots with the Capacity for Deception
Alan Wagner
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Ronald Arkin
(2011)
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Planning and Integrating Deception into Computer Security Defenses
Mohammed H. Almeshekah
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Eugene H. Spafford
(2014)
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Book Chapter
Publication date (Print):
2021
Publication date (Online):
January 01 2022
Pages
: 76-83
DOI:
10.1007/978-3-030-91779-1_6
SO-VID:
9ed00843-6c57-4206-b247-6cba0dec7723
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Book chapters
pp. 3
Characterising Deception in AI: A Survey
pp. 17
The Role of Environments in Affording Deceptive Behaviour: Some Preliminary Insights from Stage Magic
pp. 27
Deceptive Dreams: Nudging for Better Sleep
pp. 41
Wolves in Sheep’s Clothing: Using Shill Agents to Misdirect Multi-robot Teams
pp. 55
Learning to Deceive in Multi-agent Hidden Role Games
pp. 76
Modelling Strategic Deceptive Planning in Adversarial Multi-agent Systems
pp. 87
E-Friend: A Logical-Based AI Agent System Chat-Bot for Emotional Well-Being and Mental Health
pp. 105
Deception in Epistemic Causal Logic
pp. 124
Influencing Choices by Changing Beliefs: A Logical Theory of Influence, Persuasion, and Deception
pp. 145
Towards a Framework for Challenging ML-Based Decisions
pp. 157
Impostor GAN: Toward Modeling Social Media User Impersonation with Generative Adversarial Networks
pp. 166
Studying Dishonest Intentions in Brazilian Portuguese Texts
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