A Cognitive Model for Exposition of Human Deception and Counterdeception

Lambert, Dave

doi:10.21236/ada192688

Cited by 6 publications

(4 citation statements)

References 11 publications

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“…with Donald's profile being reckless and θ = 0.51. Donald's decision-making process corresponds to the instantiation of the backward-reasoning from (5) to (16) and in the semantics rule Ask1, which ends with Donald responding that the bmw is safe (16). Ivan receives the message, which corresponds to the semantics rule Response1, given that, though Ivan profile is sceptical, it trusts Donald i.e., α = 0.8.…”

Section: Decision Making and Communication Semanticsmentioning

confidence: 99%

“…Other works on deception that have to be mentioned: [26] models deception using argumentation in dialogue games; [15] models self-deception using epistemic logic; [24] and [23] define multiple types of deception using a modal logic of belief and action; [5] describes the difference between lies, bullshit and deception; and [16] builds a cognitive model of deception based on human-computer interaction, which specifies how the computer agent's strategies of deception should be improved by the agent's programmer after being defeated by a human in a battleships game.…”

Section: Related Workmentioning

confidence: 99%

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Modelling deception using theory of mind in multi-agent systems

Sarkadi

Panisson

Bordini

et al. 2019

AIC

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Section: Decision Making and Communication Semanticsmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Modelling deception using theory of mind in multi-agent systems

Sarkadi

Panisson

Bordini

et al. 2019

AIC

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“…falsely appearing to be a member of a group, or false denial of group membership. o Deception in general [10] Communication of cognitive states o Normal mental conditions o Cognition under stress [13]  Fatigue, lack of sleep, and exhaustion  Noise and thermal extremes  Task urgency and time pressures  Hypervigilance, rapid attention shifting  Feeling of isolation due to scarcity of human and material resources.  Mental impairment due to environmental hazards, e.g.…”

Section: Cognition and Emergency Managementmentioning

confidence: 99%

Emergency-management situational-awareness prototype (EMSAP)

Adams

Wassell

Ceruti

et al. 2011

2011 IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support (CogSIMA

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This paper describes the architecture and requirements of an integrated system that is needed to support command and control for the interoperability-capability focus area. The architecture is designed to enhance situational awareness during emergencies such as earthquakes, volcanic eruptions, wild fires, floods, tsunamis, mud slides, storms, tornadoes, hurricanes, extreme heat, extreme cold, massive disease outbreaks, wars, terrorist attacks, power outages, cyber-attacks on utility grids and civil unrest. A net-centric approach that emphasizes cognitive aspects, such as cognitiveinformation operations, in decision support ensures information superiority by networking sensors and human-factors monitoring. This enables decision makers to achieve shared awareness. Linking knowledgeable entities effectively leads to increased speed of command and a higher tempo of operations with a degree of self-synchronization. The resulting system will decrease cognitive overload and improve cognitive monitoring by providing a more systematic and less labor-intensive method to manage information from and for first responders at the local, tribal, state, and federal levels.

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“…Theoretically, these studies are of interest to psychologists concerned with eyewitness testimony, especially those researching human deception (e.g., Whaley, 1985;Lambert, 1987;Wiseman & Morris, 1992). On a more pragmatic level, this work is of interest to individuals who are required to accurately observe, and recall, potential acts of deception.…”

Section: Introductionmentioning

confidence: 99%

Recalling pseudo‐psychic demonstrations

Wiseman

Morris

1995

British J of Psychology

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Edinburgh EH8 9JZ1 The authors would like to thank Deborah Delanoy, Sybo Schouten and two anonymous referees for providing helpful feedback on earlier drafts of this paper. Our thanks also to Nikunj Somia and Martin Dowds for their assistance in filming the videotape discussed in this paper, and Tony Lawrence for helping to recruit Ss in the second experiment. 2 Recall of pseudo-psychic demonstrations ABSTRACTThis paper describes two experiments which investigate how believers in the paranormal (labelled 'Sheep') and disbelievers (labelled 'Goats') recall different aspects of pseudo-psychic demonstrations (i.e., conjuring tricks that can be misinterpreted as genuine psychic phenomena). In both experiments Ss were first shown a videotape containing pseudo-psychic trickery. They were then asked to rate the 'paranormal' content of the videotape and complete a set of recall questions. Ss were then told that the videotape contained magic tricks, and asked to complete a second set of recall questions. The recall questions contained information both 'important' and 'unimportant' to the method of the tricks. Overall, the results suggested that (i) Sheep displayed a slight tendency to rate the demonstrations as more 'paranormal' than Goats, (ii) initially Goats tended to recall significantly more 'important' information than Sheep and that,

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A Cognitive Model for Exposition of Human Deception and Counterdeception

Cited by 6 publications

References 11 publications

Modelling deception using theory of mind in multi-agent systems

Modelling deception using theory of mind in multi-agent systems

Emergency-management situational-awareness prototype (EMSAP)

Recalling pseudo‐psychic demonstrations

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