GAIA: A CAD Environment for Model-Based Adaptation of Game-Playing Software Agents

Rugaber, Spencer; Goel, Ashok K.; Martie, Lee

doi:10.1016/j.procs.2013.01.004

Cited by 10 publications

(4 citation statements)

References 9 publications

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“…They claim that multi-agent systems are ideal to model service-based systems and then solve service adaptation problems. Also, Spencer Rugaber et al [44] used intelligent agents to create a model-based technique for self-adaptation in game-playing agents. Additionally, Ben Abdessalem and Frasson [45] used intelligent agents to adapt video games to players according to their cognitive and emotional states.…”

Section: Adaptative Systems and Intelligent Agentsmentioning

confidence: 99%

Optimizing Alzheimer’s Disease Therapy Using a Neural Intelligent Agent-Based Platform

Abdessalem¹,

Byrns²,

Frasson³

2021

IJIS

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Alzheimer's disease affects millions of persons every year. Negative emotions such as stress and frustration have a negative impact on memory function and Alzheimer's patients experience more negative emotions than healthy adults. Non-pharmacological treatment such as immersion in virtual environments could help Alzheimer patients by reducing their negative emotions, but it has restrictions and requirements. In this work, we present three virtual reality relaxing systems in which the patients are immersed in relaxing environments. We propose to use intelligent agents in order to adapt the relaxing environment to each participant and optimize its relaxation effect. The intelligent agents track the emotions of patients using electroencephalography as input in order to adapt the environments. We designed each system with different levels of intelligence in order to analyze the impact of the adaptation on the patients. Experiments were performed for each system on participants with subjective cognitive decline. Results show that these relaxing systems can reduce negative emotions and improve participants' memory performance. The positive effects on affective state and memory persisted for a longer period of time and were generally more effective for the systems with more intelligence. We believe that the combination of a relaxing environment, virtual reality, intelligent agents for adapting the environment, and brain assessment is a promising method for helping Alzheimer's patients.

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Section: Adaptative Systems and Intelligent Agentsmentioning

confidence: 99%

Optimizing Alzheimer’s Disease Therapy Using a Neural Intelligent Agent-Based Platform

Abdessalem¹,

Byrns²,

Frasson³

2021

IJIS

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“…Using intelligent agents, they track in real-time the player's cognitive and emotional states, then adapt the video game's parameters according to these states. Furthermore, Spencer Rugaber et al [12] created a model-based technique for self-adaptation in game-playing agents using intelligent agents. Doctor et al [13] applied intelligent agents in the field of neuroscience.…”

Section: Intelligent Agents and Adaptationmentioning

confidence: 99%

Toward Personalizing Alzheimer’s Disease Therapy Using an Intelligent Cognitive Control System

Abdessalem

Frasson

2021

Frontiers in Artificial Intelligence and Applications

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Subjective cognitive decline is an early state of Alzheimer’s Disease which affects almost 10 million people every year. It results from negative emotions such as frustration which are more present than healthy adults. For this reason, our work focuses on relaxing subjective cognitive decline patients using virtual reality environments to improve their memory performance. We proposed in our previous work a neurofeedback approach which adapts the virtual environment to each patient according to their emotions using a Neural Agent. We found that the Neural Agent can adapt the environment to each participant but have limitations. This work is a continuation of our approach in which we propose a Limbic Agent able to monitor the interactions between the Neural Agent and patients’ emotional reactions, learn from these interactions, and modify the Neural Agent in order to enhance the adaptation to each patient with an Intelligent Cognitive Control System. Our goal is to create a system able to support the Limbic System which is the main area in charge of controlling emotions and creating memory in the human brain. We used data collected form our previous work to train the Limbic Agent and results showed that the agent is capable of modifying the weight of existing rules, generating new intervention rules, and predicting if they will work or not.

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“…software engineering, cognitive science, psychology). We also plan to compare M++ with other visual frameworks such as GAIA (Rugaber, Goel, & Martie, 2013) for usability and simplicity.…”

Section: A Metacognition Model For An Intelligent Tutoring Systemmentioning

confidence: 99%

A domain-specific visual language for modeling metacognition in intelligent systems

Piñeres

Josyula

Jiménez

et al. 2015

Biologically Inspired Cognitive Architectures

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GAIA: A CAD Environment for Model-Based Adaptation of Game-Playing Software Agents

Cited by 10 publications

References 9 publications

Optimizing Alzheimer’s Disease Therapy Using a Neural Intelligent Agent-Based Platform

Optimizing Alzheimer’s Disease Therapy Using a Neural Intelligent Agent-Based Platform

Toward Personalizing Alzheimer’s Disease Therapy Using an Intelligent Cognitive Control System

A domain-specific visual language for modeling metacognition in intelligent systems

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