Knowledge Representation Methods and Search and Solution Strategies for Traditional Artificial Intelligence

1, the traditional artificial intelligence knowledge representation: in a possible solution space to find a solution to solve the problem, this solution space based on the problem representation and solution method is the state space method, based on the state and operator (operator) to represent and solve the problem.

2. Traditional AI search and solution strategies: uninformed search and informed search. Uninformed search is a search strategy in which we do not know which of the next states to be searched is closer to the goal; whereas informed search uses a heuristic function f(n) to measure which state is closer to the goal state and prioritizes the search for that state, and thus tends to solve the problem more efficiently compared to uninformed search.

Domain Analysis

Artificial Intelligence I*** is categorized into five domains: natural language processing, computer vision, speech recognition, expert systems, and cross-cutting areas. Natural language processing is a science that integrates linguistics, computer science, and mathematics.

Natural language processing is not the study of natural language in general, but in the development of computer systems, especially software systems therein, that can effectively implement natural language communication, and is an area of computer science, artificial intelligence, and linguistics concerned with the interaction between computers and human (natural) language.