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Time models and cognitive processes: a review.
Michail Maniadakis1, Panos Trahanias1
1Institute of Computer Science, Foundation for Research and Technology - Hellas Heraklion, Greece.
Frontiers in Neurorobotics
|March 1, 2014
Summary
The human sense of time is crucial for daily cognition. Recent research integrates temporal aspects into cognitive science and artificial temporal cognition, moving beyond models that neglect time
Area of Science:
- Cognitive Science
- Robotics
- Artificial Intelligence
Background:
- The human sense of time is fundamental to daily cognitive processes.
- Traditional cognitive science and robotics models often overlook the flow of time.
- Recent research shows a growing interest in temporal aspects of cognition.
Purpose of the Study:
- To review existing literature on temporal cognition.
- To identify and suggest future research directions in the field.
- To highlight the importance of temporal cognition for artificial agents.
Main Methods:
- Literature review of existing works in temporal cognition.
- Analysis of theoretical and modeling frameworks in cognitive science and robotics.
- Identification of emerging trends and gaps in artificial temporal cognition research.
Main Results:
- Limited but increasing integration of temporal aspects into cognitive models.
- Identification of key areas for future research in artificial temporal cognition.
- Emphasis on the need for time-aware models for sophisticated artificial agents.
Conclusions:
- Integrating temporal dynamics is essential for advancing cognitive science and robotics.
- Artificial temporal cognition is a critical emerging field for developing advanced AI.
- Future work should focus on developing sophisticated models that incorporate the flow of time for seamless human-AI integration.
Keywords:
artificial sense of timecomputational modelingliterature reviewtemporal cognitiontime perceptionMore Related Videos
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