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The fact that it ignores two things that are controversial at best seems to not really be a problem... Qualia's existence is more or less unprovable given its d

The fact that it ignores two things that are controversial at best seems to not really be a problem... Qualia's existence is more or less unprovable given its definition, and there are numerous objections to the Penrose-Lucas argument. Using either as a basis for an argument is essentially the same as basing an argument in faith.

visarga 10y ago
In my opinion, qualia is just a word that stands in for agent-centric perception. For a reinforcement learning agent (such as human, animal, robot or AlphaGo) qualia is the combined effect of perception and value function. I think Chalmers tries to introduce a kind of dualism here - he's saying that human experience is something special, unlike other mechanical processes (which can only be mere p-zombies). I don't think it is a good idea to turn to dualism because it has been proven flawed and leads to philosophical conundrums. I think current day philosophy doesn't properly appreciate the insights coming from AI. We have seen AI give amazing results in perception : images, sounds, video - it's no mystery any more. You just put 100 layers deep convolutional nets to solve the problem from data. Philosophers still talk like we don't know how perception works, or that it results in ontologically special qualia. Another very important AI insight that is being ignored by contemporary philosophers is Reinforcement Learning. We have made great advances in intelligent behavior, and RL concepts (agent, environment, reward, and learning) are better suited for explaining human consciousness than traditional concepts such as free will, qualia and Chinese Rooms. Wittgenstein's concept of language games is apparent in reinforcement learning. There has been a recent paper about agents evolving a new language by trying to solve a problem together. Also, language philosophy should take a look at word embeddings. Maybe philosophy needs more grounding in AI.

visarga 10y ago

In my opinion, qualia is just a word that stands in for agent-centric perception. For a reinforcement learning agent (such as human, animal, robot or AlphaGo) qualia is the combined effect of perception and value function. I think Chalmers tries to introduce a kind of dualism here - he's saying that human experience is something special, unlike other mechanical processes (which can only be mere p-zombies). I don't think it is a good idea to turn to dualism because it has been proven flawed and leads to philosophical conundrums. I think current day philosophy doesn't properly appreciate the insights coming from AI. We have seen AI give amazing results in perception : images, sounds, video - it's no mystery any more. You just put 100 layers deep convolutional nets to solve the problem from data. Philosophers still talk like we don't know how perception works, or that it results in ontologically special qualia. Another very important AI insight that is being ignored by contemporary philosophers is Reinforcement Learning. We have made great advances in intelligent behavior, and RL concepts (agent, environment, reward, and learning) are better suited for explaining human consciousness than traditional concepts such as free will, qualia and Chinese Rooms. Wittgenstein's concept of language games is apparent in reinforcement learning. There has been a recent paper about agents evolving a new language by trying to solve a problem together. Also, language philosophy should take a look at word embeddings. Maybe philosophy needs more grounding in AI.