Artificial Intelligence
Table of Contents
1. Definitions
1.1. Pei Wang
In Theories of AI:
The "theory of AI" is impossible by definition, since we cannot have a theory for "those processes we don't yet understand" — as soon as we have a good theory for such a process, it is no longer considered as AI anymore [Minsky (1985); Schank (1991)] [Page 2];
In Different Conceptions of Learning:
“Intelligence” is the ability for a system to adapt given insufficient knowledge and resources. That is, the system must depend on finite resources to make real-time response while being open to unanticipated problems and events.
Consequently, the system’s solutions are usually not absolutely optimal, but the best the system can find at the time, and the system could always do better if it had more knowledge and resources. [Different Conceptions of Learning.pdf: Page 3]
1.2. Joscha Bach
In Generalist AI beyond Deep Learning:
Intelligence is the ability to construct a path through space of computable functions. aka. Intelligence is the ability to make models.
2. Other Notes & Links
- Library of AI tools: https://www.futurepedia.io/
- Generalist AI beyond Deep Learning
- Artificial General Intelligence
- Machine Learning
- AI Deception