Deceptive and Counter-Deceptive Machines: Papers from the AAAI Fall Symposium
Micah H. Clark, Chair
November 12–14, 2015, Arlington, Virginia
Technical Report FS-15-03
Contents
Toward Adversarial Online Learning and the Science of Deceptive Machines / 2
Myriam Abramson
Impression Management, Mindshaping and the Social Function of Fibbing / 6
Paul Bello, Will Bridewell
Can Accomplices to Fraud Will Themselves to Innocence, and Thereby Dodge Counter-Fraud Machines? / 8
Selmer Bringsjord, Alexander Bringsjord
Position Paper: Knowledge-Based Mechanisms for Deception / 11
Scott E. Fahlman
Analogical Abduction and Prediction: Their Impact on Deception / 15
Kenneth D. Forbus
Toward an Intelligent Agent for Fraud Detection — The CFE Agent / 21
Joe Johnson
Formalizing Deceptive Reasoning in Breaking Bad: Default Reasoning in a Doxastic Logic / 27
John Licato
A Formal Account of Deception / 34
Chiaki Sakama
Mind ID: A Psychologically Inspired Approach to Secure Authentication Based on Memory for Faces / 42
Alexei V. Samsonovich
Reasoning about Truthfulness of Agents Using Answer Set Programming / 47
Tran Cao Son, Enrico Pontelli, Marcello Balduccini
The Most Intelligent Robots Are Those that Exaggerate: Examining Robot Exaggeration / 51
Alan Richard Wagner