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Concepts and Relations in Neurally Inspired In Situ Concept-Based Computing
1Technical Cognition, CPE-BMS and CTIT, University of Twente , Enschede , Netherlands.
Frontiers in Neurorobotics
|June 1, 2016
Summary
In situ concept computing grounds representations in perception and action, unlike traditional architectures. This approach, interwoven memory and processing, offers a potential alternative to conventional computing for cognitive tasks.
Area of Science:
- Cognitive Science
- Neuroscience
- Computer Science
Background:
- Conceptual representations in the brain are
- in situ,
- grounded in perception and action.
- Neuronal assemblies exhibit time-evolving, distributed connection structures.
Purpose of the Study:
- To introduce and explore in situ concept-based computing as an alternative to Von Neumann architectures.
- To highlight the integration of memory and processing in novel computing paradigms.
- To demonstrate the application of in situ concept computing in cognitive tasks.
Main Methods:
- Conceptualizing in situ representations as indivisible connection structures.
- Utilizing neurally inspired "blackboards" for higher-level cognitive processes.
- Illustrating the architecture with a BABI reasoning task.
Main Results:
- In situ concept representations cannot be duplicated without losing meaning.
- Cognitive functions like reasoning emerge from interactions between in situ concepts and blackboards.
- In situ concept computing architectures interweave memory and processing.
Conclusions:
- In situ concept computing presents a viable alternative to conventional computing, especially given its limitations.
- Neurorobotics is crucial for developing in situ concept representations and benefits from power-efficient computing.
- This paradigm offers a new direction for brain-inspired computing and artificial intelligence.
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