3. A.I INTRODUCTION
• It is the science and engineering of making intelligent
machines, especially intelligent computer programs.
• AI is generally associated with Computer Science, but it has many
important links with other fields such as:
Maths, Psychology, Cognition, Biology and Philosophy, among
many others. Our ability to combine knowledge from all these
fields will ultimately benefit our progress in the quest of creating
an intelligent artificial being.
5. SYMBOLIC A.I:
• Symbolic artificial intelligence is the collective name for all methods in artificial
intelligence research that are based on high-level "symbolic" (human-readable)
representations of problems, logic and search.
• Symbolic AI was intended to produce general, human-like
intelligence in a machine, whereas most modern research is
directed at specific sub-problems. Research into general
intelligence is now studied in the sub-field of
Artificial general intelligence.
6. STATISTICAL A.I
• Statistical AI advocates deterministic approach in Artificial Intelligence taking
inspiration from mathematics and operation research. critics argue that this
approach looses capability of generalization and hence ultimate aim of Artificial
7. COMPUTATIONAL INTELLIGENCE
• Computational Intelligence aims to solve real world problems that are
computationally expensive or not at all possible to solve by traditional means
(mathematical models)..Common branches of Computational Intelligence are but
not limited to.
• Artificial Neural Networks
• Fuzzy Logic
• Heuristic Search
• Pattern Recognition