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My take on intelligence over the past 20y has been it is high quality / efficient search of immense state spaces. "Solving intelligence" as a famous corporatio
by pilooch 5y ago
My take on intelligence over the past 20y has been it is high quality / efficient search of immense state spaces.
"Solving intelligence" as a famous corporation motto, might just be improving state-space search.
Humans are incredible at state space search, it's obvious as soon as you consider the potential data pointsnof any problem we face every day, from washing dishes to designing algorithms.
- Retric 5y agoYou can abstract basically anything to state space search + optimization. It’s essentially too wide a classification to be that useful.
- twofornone 5y agoBut that's literally what ML training does. Just like a human, neural nets learn heuristics to take advantage of the fact that of all the possible mappings of inputs to outputs, there are actually vanishingly few output states that are valid. Arguably all learning is indeed a reduction of state space, be it by human or machine.
- lou1306 5y agoAlso, the above definition is essentially the original (50s-70s) definition of AI, and I reckon that school of thought didn't end too well. By that definition, current computers are way more intelligent than humans under almost every benchmark. SAT- and SMT- solvers can tackle huge problems without breaking a sweat. We humans, by comparison, are pretty crap at state space search, but we shine when said state space is dynamic or the search is heavily context-dependent.