[Fis] Paradigm AI

Eric Werner eric.werner at oarf.org
Wed Oct 18 12:01:01 CEST 2023 

Dear Yixin,

Thank you for you comments!

To your point (2): The essence of general intelligence is the ability to 
not only solve an externally given problem, but to be creative and find 
and define problems. For example, given a knowledge of mathematics and 
physics and data to generate new mathematics and new insights into the 
nature of the world.

To your point (3): Biotechnology and AI are somewhat independent fields. 
AI can help genome research and decoding genomes. But once genomes are 
decoded that information can be used to construct more general AI 
models. When I say "architecture" I meant the architecture of the human 
brain encoded in the human genome. This architectural information can be 
used to guide the structuring of AI models be be more potent and more 
human like.  And, AI may well help in the process of structuring its 
future version. That is what I meant by selfreferencing.

To the more general point, formalization of social information can help 
guide the improvement of AI models to be more social and have greater 
abilities in a AI-robot social setting.

All the best,

Eric

On 10/18/23 9:16 AM, 钟义信 wrote:
> Dear Eric,
>
> Thank you for the interesting talk on "Paradigm AI" from which I 
> learned a lot.
>
> As a discussant, may I propose some of my understanding. Comments are 
> welcome.
>
> (1) I appreciate your idea that saying "Physics paradigm PPD does not 
> fit well with AI paradigm" and "Information paradigm PID is a better 
> fit". This is the valuable common basis, between you and me, 
> concerning the PPD, PID and AI.
>
> (2) How to define the concept of intelligence? This is a very 
> difficult problem. To my own understanding, the following short 
> statement may serve as one of the candidates: _Intelligence is the 
> ability to solve problem but not the ability to find and define 
> problem, the latter of which is one of the abilities for wisdom._
> _
> _
> (3) The paradigm for AI can be used as the paradigm for bio-technology 
> with certain simplification and specialization. This judgement is not 
> based on their "structure/architecture",  but based on their 
> "information function" - which is the basic function in both AI and 
> biotechnology, that is to seek opportunity for "living (or solving 
> problem)" and to avoid the "danger (or failing to problem solving)".
>
> Once again, comments and criticisms are most welcome.
>
>
> Best regards,
>
>
>         Prof. Yixin ZHONG
>
> AI School, BUPT
> Beijing 100876, China
>
>
>
> ------------------ Original ------------------
> *From: * "Eric Werner"<eric.werner at oarf.org>;
> *Date: * Tue, Oct 17, 2023 02:32 AM
> *To: * "fis"<fis at listas.unizar.es>;
> *Subject: * [Fis] Paradigm AI
>
> Here are some brief thoughts on Paradigms and AI by I presume was 
> written by Yixin Zhong since I cannot read Chinese.
>
>
>   Paradigm AI
>
>   * I agree that the physics paradigm PPD doesn’t fit well with the AI
>     paradigm, and that the information paradigm PID is a better fit
>   * Artificial intelligence systems, don’t necessarily learn from
>     human beings. In unsupervised learning they learn from data and
>     not from humans.
>   * The problem, and becomes really how to define what intelligence
>     is: Which of the following is it?
>       o Rational inference
>       o Summarizing large amounts of text and data
>       o Making new predictions based on scientific theories and
>         available data
>       o Developing new theories that explain the data in the more
>         succinct way, and making new predictions
>       o Developing new technologies independently of human input
>       o Planning and executing the actions and intentions of a robot
>       o Having social intelligence
>       o Being cooperative with a human being in achieving a task
>       o Interrelating two discipline, such as physics and mathematics,
>         to make new discoveries
>       o Understanding, genomes in the way that human beings cannot
>       o Designing new organisms by designing their genomes
>   * I agree with the language of a new paradigm, such as artificial
>     intelligence will develop slowly step by step in conjunction with
>     its use -both conceptually and experimentally .
>   * In a new paradigm entire new language is created as a paradigm is
>     developed
>   * The language evolves in concert with a new ontology suggested by
>     the paradigm
>       o It is an ontology of objects, technologies, actions, and
>         strategies
>   * What will be particularly interesting, is the *linking of the
>     paradigm of artificial intelligence with the paradigm of
>     biotechnology*
>       o Biotechnology and AI will truly link the human brain with the
>         artificial brain
>       o The genome of the natural brain will be reflected in the
>         architecture of the artificial brain
>       o Hence by using AI to decode the genome of the natural brain,
>         it will be self-reflected in the design of the developing
>         artificial brain
>       o This will bring unprecedented social and rational
>         functionality to the artificial brain
>       o Note that the biotech-genome paradigm also is founded on the
>         information paradigm.
>
> Thank you Yixin Zhong for your input and emphasizing the intimate 
> relationship of information and AI paradigms.
>
> Best wishes,
>
> Eric
>
> -- 
> /Dr. Eric Werner
> Oxford Advanced Research Foundation
> https://urldefense.com/v3/__https://oarf.org__;!!D9dNQwwGXtA!S48dgtLY-v427YBnRO4ovcOPfYmIyRg2qFfQ_Vw-sWoIjfzS8ZWpLpRilKkBtXqBqXyrkHUwwWHOZ6wdhD823UM$ 
>
>
> /
>
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/Dr. Eric Werner
Oxford Advanced Research Foundation
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