The Research of IDSS Based on Inductive Learning and Case-Based Reasoning;

Artificial intelligence-based inductive learning method was analyzed.

It is not only one of central issues of human intelligence activity, but also the basic element composing more complex cognitive task, thus, the specific cognitive processes associated with categorization have been studied extensively by cognitive psychologists, and there are different opinion on which represent strategy are used in category learning.

Furthermore, a hybrid learning model combining learning from cases and case\|based reasoning is put forward by virtue of intelligent agents, and the basic framework of the model is also given in which induction learning agents coordinate by a reinf.

Unlike other improvement works, this paper proposes a method that conducts evolution to keep the balance through induction learning.

This paper proposes a new algorithm called LAID(learning algorithm as inverse deduction) considering the difficulty of traditional induction learning.

Combinational equivalence check based on recursive learning;

A study of the relationship among physics achievements , learning attributions and academic self-concepts in students in senior one;

The main tools were learning attribution scale, learning self-efficacy scale and learning strategy scale.