CSE Btech Seminar Topic The History of Artificial Intelligence

The research paper CSE Btech Seminar Topic The History of Artificial Intelligence explains how Artificial Intelligence calls for formalization of the term “intelligence”. The paper sheds light on how Psychologist and Cognitive theorists are of the opinion that intelligence helps in identifying the right piece of knowledge at the appropriate instances of decision making. 

General Problem Solving Approaches in AI

To understand what exactly AI is, some common problems are illustrated. Problems dealt with in AI generally use a common term called ‘state’.

What is Artificial Intelligence

1. The branch of computer science that is concerned with the automation of intelligent behavior.

2. The study of computations that make it possible to perceive reason and act.

3. A field of study that seeks to explain and emulate intelligent behavior in terms of computational processes.

4. The study of mental faculties through the use of computational models.

The Subject of AI

The subject of AI was originated with game-playing and theorem-proving programs and was gradually enriched with theories from a number of parent disciplines. As a young discipline of science, the significance of the topics covered under the subject changes considerably with time. At present, the topics significant and worthwhile to understand the subject are outlined below:

  1. Learning systems
  2. Knowledge representation and Reasoning
  3. Knowledge base
  4. Planning
  5. Knowledge acquisition
  6. Intelligent search
  7. Soft computing
  8. Fuzzy logic
  9. Artificial neural nets

Application of AI: The paper elucidates the various applications of AI. Image understanding and computer vision, Navigational planning for mobile robots, Speech and natural language understanding, intelligence control


Knowledge representation, reasoning, planning, learning, intelligent search and uncertainty management of data and knowledge are the common areas covered under AI. Some of the applications areas of AI are speech and image understanding, expert systems, pattern classification and navigational planning of mobile robots. LISP and PROLOG are the usual languages for programming AI problems. Some of the above mentioned areas are discussed in the research paper.

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