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Ecosystems: An ecosystem is a community of living organisms and their physical environment, interacting as a system. In cybernetics, an ecosystem is a complex system of interacting components that work together to maintain a stable state. See also Cybernetics.
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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.

 
Author Concept Summary/Quotes Sources

Alex Pentland on Ecosystems - Dictionary of Arguments

Brockman I 195
Ecosystem/Pentland: How can we make a good human-artificial ecosystem, something that’s not a machine society but a cyberculture in which we can all live as humans—a culture with a human feel to it?
Brockman I 196
The first thing to ask is: What’s the magic that makes the current AI work? Where is it wrong and where is it right?
The good magic is that it has something called the credit-assignment function. What that lets you do is take “stupid neurons”—little linear functions—and figure out, in a big network, which ones are doing the work and strengthen them.
The bad part of it is that because those little neurons are stupid, the things they learn don’t generalize very well. If an AI sees something it hasn’t seen before, or if the world changes a little bit, the AI is likely to make a horrible mistake. It has absolutely no sense of context. In some ways, it’s as far from
Solution/Pentland: imagine neurons in which real-world knowledge was embedded. When you add (…) background knowledge and surround it with a good credit assignment function, then you can take observational data and use the credit-assignment
Brockman I 197
function to reinforce the functions that are producing good answers. The result is an AI that works extremely well and can generalize.
Social physics/Pentland: Thesis: Similar to the physical-systems case, if we make neurons that know a lot about how humans learn from one another, then we can detect human fads and predict human behavior trends in surprisingly accurate and efficient ways. This “social physics” works because human behavior is determined as much by the patterns of our culture as by rational, individual thinking. These patterns can be described mathematically and employed to make accurate predictions. >Cybernetics/Pentland
, >Decision-making Processes/Pentland, >Data/Pentland.


Pentland, A. “The Human strategy” in: Brockman, John (ed.) 2019. Twenty-Five Ways of Looking at AI. New York: Penguin Press.

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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. Translations: Dictionary of Arguments
The note [Concept/Author], [Author1]Vs[Author2] or [Author]Vs[term] resp. "problem:"/"solution:", "old:"/"new:" and "thesis:" is an addition from the Dictionary of Arguments. If a German edition is specified, the page numbers refer to this edition.
Pentland, Alex
Brockman I
John Brockman
Possible Minds: Twenty-Five Ways of Looking at AI New York 2019


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Ed. Martin Schulz, access date 2024-04-25
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