Representing Trust in Cognitive Social Simulations

Pollock, Shawn S.; Alt, Jonathan; Darken, Christian J.

doi:10.1007/978-3-642-19656-0_42

Cited by 2 publications

(4 citation statements)

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“…In line with the findings of earlier studies (Papadopoulos, 2010;Pollock, 2011), careful selection of these factors is crucial in order to build a realistic scenario that matches user requirements and expectations of agent behavior. The test cases showed, in particular, that the initial stance of the population was extremely significant.…”

Section: Other Factorsmentioning

confidence: 60%

“…Learning (Baez et al 2010;Ozcan, Alt & Darken, 2011); and second, the trust module within the CG Model, which provides an additional layer of realism (and with it, complexity) by simulating the effect of trust, or the lack of it, between entities in the scenario (Baez et al 2010;Pollock, 2011).…”

Section: Sponsoring /Monitoring Agency Name(s) and Address(es)mentioning

confidence: 99%

“…Individual studies have demonstrated statistically significant contributions of these components to the CG Model Papadopoulos, 2010;Pollock, 2011). However, in terms of creating a believable, realistic entity that performs on par with end-user expectations, it is worthwhile to consider if similar entity behavior is attained by implementation of a simplified artificial intelligence, i.e., without contributions of varying decision-making methods, or the trust 4 module.…”

Section: Sponsoring /Monitoring Agency Name(s) and Address(es)mentioning

confidence: 99%

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Social Impacts Module (SIM) Transition

Caldwell¹,

Jackson²,

Yamauchi³

et al. 2012

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Section: Other Factorsmentioning

confidence: 60%

Section: Sponsoring /Monitoring Agency Name(s) and Address(es)mentioning

confidence: 99%

Section: Sponsoring /Monitoring Agency Name(s) and Address(es)mentioning

confidence: 99%

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Social Impacts Module (SIM) Transition

Caldwell¹,

Jackson²,

Yamauchi³

et al. 2012

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“…When it comes to cognitive social simulation, the implementation of social trust presents a particular challenge. While some previous work has addressed the issue of trust representation in cognitive social simulations, 51 there has been little work to date on representing trust (and social influence parameters, more generally) within ACT-R (although see Kennedy and Krueger 52 ). Further progress in this area is important because social trust not only determines the extent to which received information is factored into an agent's internal belief formation and revision processes, it is also likely to influence the dynamics of agent interaction, with greater levels of agent interaction being observed between agents with the strongest trust relationships (see Section 4.1).…”

Section: Social Trust and Influencementioning

confidence: 99%

Using cognitive architectures to study issues in team cognition in a complex task environment

2014

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Cognitive social simulation is a computer simulation technique that aims to improve our understanding of the dynamics of socially-situated and socially-distributed cognition. This makes cognitive social simulation techniques particularly appealing as a means to undertake experiments into team cognition. The current paper reports on the results of an ongoing effort to develop a cognitive social simulation capability that can be used to undertake studies into team cognition using the ACT-R cognitive architecture. This capability is intended to support simulation experiments using a team-based problem solving task, which has been used to explore the effect of different organizational environments on collective problem solving performance. The functionality of the ACT-R-based cognitive social simulation capability is presented and a number of areas of future development work are outlined. The paper also describes the motivation for adopting cognitive architectures in the context of social simulation experiments and presents a number of research areas where cognitive social simulation may be useful in developing a better understanding of the dynamics of team cognition. These include the use of cognitive social simulation to study the role of cognitive processes in determining aspects of communicative behavior, as well as the impact of communicative behavior on the shaping of task-relevant cognitive processes (e.g., the social shaping of individual and collective memory as a result of communicative exchanges). We suggest that the ability to perform cognitive social simulation experiments in these areas will help to elucidate some of the complex interactions that exist between cognitive, social, technological and informational factors in the context of team-based problem-solving activities.

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Representing Trust in Cognitive Social Simulations

Cited by 2 publications

References 4 publications

Social Impacts Module (SIM) Transition

Social Impacts Module (SIM) Transition

Using cognitive architectures to study issues in team cognition in a complex task environment

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