Core Concepts
Intelligence is the capability for an information system to adapt to the open environment with limited computational resources, and it can be described by a collection of principles.
Abstract
This paper aims to establish a consensus on the definition of Artificial General Intelligence (AGI). The author argues that intelligence can be defined from two perspectives: 1) the capability for an information system to adapt to the environment with limited computational resources, and 2) a collection of principles that describe the system's behavior.
The author proposes two axioms as the basis for the definition: 1) for any intelligent system, it must be able to learn and adapt to its environment, and 2) intelligent systems have limited computational resources, including memory and processing speed.
Based on these axioms, the author defines "intelligence" as the capability to adapt to the environment with limited resources, and "general intelligence" as the ability to adapt to an open environment with limited resources. Artificial General Intelligence (AGI) is then defined as a computer system that is adaptive to the open environment with limited computational resources and satisfies certain principles.
The author acknowledges that the controversial part of the definition lies in the specific principles (denoted as PG) that describe how the AGI system should work. Researchers from different backgrounds, such as cognitive science, neuroscience, and computer science, may have different perspectives on what these principles should be.
The paper also compares the proposed definition to other existing definitions of intelligence and AGI, highlighting the similarities and differences. The author argues that the key contribution of this work is to provide a basic specification for AGI that can be used by researchers both inside and outside the community.