Open Access. Powered by Scholars. Published by Universities.®
Physical Sciences and Mathematics Commons™
Open Access. Powered by Scholars. Published by Universities.®
- Keyword
-
- ACT-R/Φ (3)
- Project Malmo (2)
- ACT-R (1)
- Adaptation (1)
- Arousal (1)
-
- Breathing (1)
- Cognitive Architecture (1)
- Cognitive architectures (1)
- Exploration vs exploitation (1)
- GIFT (1)
- HumMod (1)
- Human-AI interaction (1)
- Learner modeling (1)
- Physio-cognitive model (1)
- Psychomotor tasks (1)
- Reinforcement learning (1)
- Skill learning (1)
- Stress (1)
- Tactical breathing (1)
- Teamwork (1)
- UCT (1)
- Utility (1)
Articles 1 - 4 of 4
Full-Text Articles in Physical Sciences and Mathematics
Towards A Physio-Cognitive Model Of The Exploration Exploitation Trade-Off., David M. Schwartz, Christopher L. Dancy
Towards A Physio-Cognitive Model Of The Exploration Exploitation Trade-Off., David M. Schwartz, Christopher L. Dancy
Faculty Conference Papers and Presentations
Managing the exploration vs exploitation trade-off is an important part of our everyday lives. It occurs in minor decisions such as choosing what music to listen to as well as major decisions, such as picking a research direction to pursue. The dilemma is the same despite the context: does one exploit the environment, using current knowledge to acquire a satisfactory solution, or explore other options and potentially find a better answer. An accurate cognitive model must be able to handle this trade-off because of the importance it plays in our lives. We are developing physio-cognitive models to better understand how …
Simulating Human-Ai Collaboration With Act-R And Project Malmo, Zachary M. Brill, Christopher L. Dancy
Simulating Human-Ai Collaboration With Act-R And Project Malmo, Zachary M. Brill, Christopher L. Dancy
Faculty Conference Papers and Presentations
We use the ACT-R cognitive architecture (Anderson, 2007) to explore human-AI collaboration. Computational models of human and AI behavior, and their interaction, allow for more effective development of collaborative artificial intelligent agents. With these computational models and simulations, one may be better equipped to predict the situations in which certain classes of intelligent agents may be more suited to collaborate with people. One can more tractably understand and predict how different AI agents affect task behavior in these situations. To simulate human-AI collaboration, we are developing ACT-R models that work with more traditional AI agents to solve a task in …
Towards A Physio-Cognitive Model Of Slow-Breathing, Chris Dancy
Towards A Physio-Cognitive Model Of Slow-Breathing, Chris Dancy
Faculty Conference Papers and Presentations
How may controlled breathing be beneficial, or detrimental to behavior? Computational process models are useful to specify the potential mechanisms that lead to behavioral adaptation during different breathing exercises. We present a physio-cognitive model of slow breathing implemented within a hybrid cognitive architecture, ACT-R/Φ. Comparisons to data from an experiment indicate that the physiological mechanisms are operating in a manner that is consistent with actual human function. The presented computational model provides predictions of ways that controlled breathing interacts with mechanisms of arousal to mediate cognitive behavior. The increasing use of breathing techniques to counteract effects of stressors makes it …
Towards Using A Physio-Cognitive Model In Tutoring For Psychomotor Tasks., Jong W. Kim, Chris Dancy, Robert A. Sottilare
Towards Using A Physio-Cognitive Model In Tutoring For Psychomotor Tasks., Jong W. Kim, Chris Dancy, Robert A. Sottilare
Faculty Conference Papers and Presentations
We report our exploratory research of psychomotor task training in intelligent tutoring systems (ITSs) that are generally limited to tutoring in the desktop learning environment where the learner acquires cognitively oriented knowledge and skills. It is necessary to support computer-guided training in a psychomotor task domain that is beyond the desktop environment. In this study, we seek to extend the current capability of GIFT (Generalized Intelligent Frame-work for Tutoring) to address these psychomotor task training needs. Our ap-proach is to utilize heterogeneous sensor data to identify physical motions through acceleration data from a smartphone and to monitor respiratory activity through …