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Creating artificial intelligence has always been a fantasy for the mankind. From the age of Greeks, there have been attempts to automate what man do. The Greeks used easy and direct mechanisms to simulate human like motions eventhough the seeds of technology were not present. Even before that, they had tales of gods who have mechanical servants.

The computer science artificial intelligence was emerged with the foundation of computer technology. Computer science artificial intelligence was a modern and scientific approach for the century old fantasy of artificial intelligence. From the beginning of the field of computer science, the scientists maintained the eye on the price of computer science artificial intelligence. They recognized that the computers have a potential to create artificial intelligence. Therefore, in simultaneous to computer programming, the wing of artificial intelligence emerged. When the functional and structured programming languages were developed for regular scientific and business programming, logic programming was introduced for computer science artificial intelligence.

When the field of AI was first introduced, the science fiction writers and futurists were optimistic about rapid development of the domain. But in reality, the developments of computer science artificial intelligence was not that quick as predicted. From mid of 1940s, computer science artificial intelligence has come a long way, but far behind what has been estimated. As an example, people of 1950s judged that by year 2000, there will be mechanical human replication that can perform almost all the tasks the humans do. Although this was a blind idea, there has been some kind of progress in automating the human knowledge.

Currently, there are a number of computer science artificial intelligence fields, servicing for many areas of industries. Although the computer science artificial intelligence still is in research phase, the by-products have been useful in producing useful tools for domains such as aerospace technology, medicine, nuclear science, finance, and education. The software systems called ‘artificial intelligence agents’ carry out various tasks for helping humans with the process of decision making in these subjects.

Simulating the human perception and knowledge still remain as the main target of computer science artificial intelligence. There are different approaches for achieving this based on various theories proposed. There are parallel research activities performed in different areas of AI, with the hope that they will compliment one another at a certain point of time. In fact, this has been verified correct, as there are systems that use multiple artificial intelligence elements developed by various approaches for achieving a general objective. Although computer science is one of the modern ways of accomplishing artificial intelligence, there are can be many future ways for trying to model the human cognition.

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The range of artificial intelligence programming

It was a few decades ago that we first heard about artificial intelligence First, it was just a concept introduced in science fictions. At that point, I’m sure that the man never thought about making artificial intelligence a reality.

A few decades ago, the dream of artificial  intelligence started to materialize as more and more scientists began to get in to the area of AI. They developed advanced concepts to look at artificial intelligence a brand new way while presenting new languages and tools for artificial intelligence programming.

At the initial stages, the scientists were not keen on developing software programming languages that were easy to use for the average programmers as AI was seen as one of the research fields and only the scientists were involved in it. When artificial intelligence was started spreading in to the rest of the fields such as networking, enterprise business solutions, stock market applications, it was required for regular programmers to be able to do artificial intelligence programming.

The languages used for artificial intelligence programming

Lisp programming language

This is one of the most famous artificial intelligence programming languages introduced to the world of AI. First introduced by John McCarthy in 1950s, Lisp is been used up to today as it is convertible for the AI problems that are encountered in this era. Lisp is based on mathematical function theory and lambda abstraction.

It was Lisp’s era till 1970s and then it was needed to change the artificial intelligence programming paradigm. In this paradigm shift, the core of the concepts was changed from mathematical functions to logic programming.

Due to the adaptability of Lisp, it has been used in numerous AI areas such as natural language processing, machine learning, information extraction, genetic programming, and AI planning.

Meta-Language programming language

This is one of the static scoped artificial intelligence programming. Although it behaves as Lisp in functional perspective, the phrase structure and program structure is completely different. The syntax and the structure was more related to Pascal language than any other AI programming languages.

AI Programming with HASKEEL

HASKEEL was another variation of ML with again a totally different in phrase structure and structure. This was a pure functional programming language and it did not have variable declaration or assignments.

Prolog

In 1970s, the artificial intelligence programming paradigm was switch from functional to logical. Prolog was the first brain child of logical artificial intelligence programming. Even today, Prolog is used for various AI projects around the world and it is one of the most potent artificial intelligence programming languages.

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