The Probabilistic Competition for Conscious Attention and the Influence of Disposition on It | HackerNoon
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from Hackernoon1 month ago
The CtmR model demonstrates how a probabilistic approach to decision-making can enhance conscious awareness in artificial intelligence, allowing for simultaneous consideration of multiple 'chunks'.
Hackernoonhttps://hackernoon.com/the-probabilistic-competition-for-conscious-attention-and-the-influence-of-disposition-on-it?source=rss
In the deterministic CtmR competition, chunk A wins consistently, leaving chunk B unconscious. In the probabilistic model, both chunks receive chances, enhancing awareness.
Hackernoonhttps://hackernoon.com/the-probabilistic-competition-for-conscious-attention-and-the-influence-of-disposition-on-it?source=rss
Aligning CtmR with existing theories of consciousness reveals significant insights into how artificial general intelligence could achieve a form of consciousness through probabilistic mechanisms.
Hackernoonhttps://hackernoon.com/the-probabilistic-competition-for-conscious-attention-and-the-influence-of-disposition-on-it?source=rss
The CtmR framework establishes a clear link between decision-making complexity and conscious attention, suggesting that true AGI may require acknowledging the unpredictability of consciousness.
Hackernoonhttps://hackernoon.com/the-probabilistic-competition-for-conscious-attention-and-the-influence-of-disposition-on-it?source=rss
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#artificial-intelligence #consciousness #probabilistic-models #ctmr #agi
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