The Motivational and Metacognitive Control in CLARION

Sun, Ron

doi:10.1093/acprof:oso/9780195189193.003.0005

Cited by 19 publications

(8 citation statements)

References 22 publications

(28 reference statements)

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“…Sun points to evidence from social psychology supporting a dual view of human motivation, with implicit and explicit motivations playing a top down and bottom up role in the formation of intent [11]. The interplay between these explicit and implicit motivations as described by Sun allows for an implicit motivation, or need, to lead to a more explicitly stated motivational goal to satisfy the implicitly motivated need [12].…”

Section: Motivation and Emotion In Cognitive Architecturesmentioning

confidence: 99%

A practical situation based agent architecture for social simulations

Alt

Baez

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2011

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

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Section: Motivation and Emotion In Cognitive Architecturesmentioning

confidence: 99%

A practical situation based agent architecture for social simulations

Alt

Baez

Darken

2011

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

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“…CLARION [67] is an example of a modularly structured cognitive architecture that explicitly represents meta-cognitive mechanisms to enable a dual-process model of explicit and implicit cognition. In [68] the author states that łwithout meta-cognitive control, a model agent may be blindly single mindedž. In order to promote a greater lexibility in its core cognitive algorithms the notion of meta-cognition was also integrated into FAtiMA Toolkit.…”

Section: Related Workmentioning

confidence: 99%

FAtiMA Toolkit: Toward an Accessible Tool for the Development of Socio-emotional Agents

Mascarenhas

Guimarães

Prada

et al. 2022

ACM Trans. Interact. Intell. Syst.

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More than a decade has passed since the development of FearNot!, an application designed to help children deal with bullying through role-playing with virtual characters. It was also the application that led to the creation of FAtiMA, an affective agent architecture for creating autonomous characters that can evoke empathic responses. In this paper, we describe FAtiMA Toolkit, a collection of open-source tools that is designed to help researchers, game developers and roboticists incorporate a computational model of emotion and decision-making in their work. The toolkit was developed with the goal of making FAtiMA more accessible, easier to incorporate into different projects and more flexible in its capabilities for human-agent interaction, based upon the experience gathered over the years across different virtual environments and human-robot interaction scenarios. As a result, this work makes several different contributions to the field of Agent-Based Architectures. More precisely, FAtiMA Toolkit’s library based design allows developers to easily integrate it with other frameworks, its meta-cognitive model affords different internal reasoners and affective components and its explicit dialogue structure gives control to the author even within highly complex scenarios. To demonstrate the use of FAtiMA Toolkit, several different use cases where the toolkit was successfully applied are described and discussed.

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“…Example languages that can be used are the Temporal Trace Language (TTL) (Bosse, Jonker, Van der Meij, Sharpanskykh, & Treur, ) and LEADSTO (Bosse, Jonker, Van Der Meij, & Treur, ). Example architecture is the BDI architecture (Bratman, ), the CLARION architecture (Sun, ), or the Desire architecture (Brazier, Dunin‐Keplicz, Jennings, & Treur, ).…”

Section: Absrim: Agent‐based Security Risk Managementmentioning

confidence: 99%

AbSRiM: An Agent‐Based Security Risk Management Approach for Airport Operations

2019

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Security risk management is essential for ensuring effective airport operations. This article introduces AbSRiM, a novel agent‐based modeling and simulation approach to perform security risk management for airport operations that uses formal sociotechnical models that include temporal and spatial aspects. The approach contains four main steps: scope selection, agent‐based model definition, risk assessment, and risk mitigation. The approach is based on traditional security risk management methodologies, but uses agent‐based modeling and Monte Carlo simulation at its core. Agent‐based modeling is used to model threat scenarios, and Monte Carlo simulations are then performed with this model to estimate security risks.The use of the AbSRiM approach is demonstrated with an illustrative case study. This case study includes a threat scenario in which an adversary attacks an airport terminal with an improvised explosive device. The approach provides a promising way to include important elements, such as human aspects and spatiotemporal aspects, in the assessment of risk. More research is still needed to better identify the strengths and weaknesses of the AbSRiM approach in different case studies, but results demonstrate the feasibility of the approach and its potential.

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The Motivational and Metacognitive Control in CLARION

Cited by 19 publications

References 22 publications

A practical situation based agent architecture for social simulations

A practical situation based agent architecture for social simulations

FAtiMA Toolkit: Toward an Accessible Tool for the Development of Socio-emotional Agents

AbSRiM: An Agent‐Based Security Risk Management Approach for Airport Operations

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