|Intelligence: intelligence is generally, the ability of solving problems mentally. A large number of components are involved, which makes a strict definition of intelligence impossible. Typical problems are pattern recognition, continuation of sequences, paraphrasing of language utterances. See also computation, artificial intelligence, strong artificial intelligence, thinking, knowledge, understanding, memory, psychology._____________Annotation: The above characterizations of concepts are neither definitions nor exhausting presentations of problems related to them. Instead, they are intended to give a short introduction to the contributions below. – Lexicon of Arguments. |
Intelligence/Pinker: Implications from knowledge - but only from the relevant.
Intelligence/Pylyshyn, Zenon: stones are smarter than cats because they fly away when you kick them - (description-dependent) - Pinker: that emerges from information, not from the matter.
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Brockman I 108
Intelligence/Pinker: [it is a] misconception (…) to think of intelligence as a boundless continuum of potency, a miraculous elixir with the power to solve any problem, attain any goal. The fallacy leads to nonsensical questions like when an AI will “exceed human-level intelligence,” and to the image of an “artificial general intelligence” (AGI) with God-like omniscience and omnipotence.
Intelligence is a contraption of gadgets: software modules
Brockman I 109
that acquire, or are programmed with, knowledge of how to pursue various goals in various domains. People are equipped to find food, win friends and influence people,(…). Computers may be programmed to take on some of these problems (like recognizing faces), not to bother with others (like charming mates), and to take on still other problems that humans can’t solve (like simulating the climate or sorting millions of accounting records). The problems are different, and the kinds of knowledge needed to solve them are different.
Pinker, S. “Tech Prophecy and the Underappreciated Causal Power of Ideas” in: Brockman, John (ed.) 2019. Twenty-Five Ways of Looking at AI. New York: Penguin Press._____________Explanation of symbols: Roman numerals indicate the source, arabic numerals indicate the page number. The corresponding books are indicated on the right hand side. ((s)…): Comment by the sender of the contribution. The note [Author1]Vs[Author2] or [Author]Vs[term] is an addition from the Dictionary of Arguments. If a German edition is specified, the page numbers refer to this edition.
How the Mind Works, New York 1997
Wie das Denken im Kopf entsteht München 1998
Possible Minds: Twenty-Five Ways of Looking at AI New York 2019