A Heuristic Search Algorithm Using the Stability of Learning Algorithms
  in Certain Scenarios as the Fitness Function: An Artificial General
  Intelligence Engineering Approach
  This paper presents a non-manual design engineering method based on heuristic
search algorithm to search for candidate agents in the solution space which
formed by artificial intelligence agents modeled on the base of
bionics.Compared with the artificial design method represented by meta-learning
and the bionics method represented by the neural architecture chip,this method
is more feasible for realizing artificial general intelligence,and it has a
much better interaction with cognitive neuroscience;at the same time,the
engineering method is based on the theoretical hypothesis that the final
learning algorithm is stable in certain scenarios,and has generalization
ability in various scenarios.The paper discusses the theory preliminarily and
proposes the possible correlation between the theory and the fixed-point
theorem in the field of mathematics.Limited by the author's knowledge
level,this correlation is proposed only as a kind of conjecture.
