Hebbian Constraint on the Resolution of the Homunculus Fallacy Leads to a Network that Searches for Hidden Cause-Effect Relationships
Available Online June 2009.
- https://doi.org/10.2991/agi.2009.36How to use a DOI?
- We elaborate on a potential resolution of the homunculus fallacy that leads to a minimal and simple auto-associative recurrent `reconstruction network' architecture. We insist on Hebbian constraint at each learning step executed in this network. We find that the hidden internal model enables searches for cause-effect relationships in the form of autoregressive models under certain conditions. We discuss the connection between hidden causes and Independent Subspace Analysis. We speculate that conscious experience is the result of competition between various learned hidden models for spatio-temporal reconstruction of ongoing effects of the detected hidden causes.
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Cite this article
TY - CONF AU - András Lorincz PY - 2009/06 DA - 2009/06 TI - Hebbian Constraint on the Resolution of the Homunculus Fallacy Leads to a Network that Searches for Hidden Cause-Effect Relationships BT - Proceedings of the 2nd Conference on Artificiel General Intelligence (2009) PB - Atlantis Press SP - 170 EP - 175 SN - 1951-6851 UR - https://doi.org/10.2991/agi.2009.36 DO - https://doi.org/10.2991/agi.2009.36 ID - Lorincz2009/06 ER -