Which programming paradigm to use?

Question

I'm a high school student and have a bit of programming experience before. Now I want to dive into the world of Artificial Intelligence and Robotics (Making AI programs and games and making robots). Which programming paradigm is better for these subjects? I'll learn a programming language according to that. My school teaches Java, but since its just an OOP language, I don't know if it is suited for the job. Is multi-paradigm language better for these?

Should I learn Python, C, C++, Java or LISP for this?

Answer 1

Here are the top languages that are most commonly used for making AI projects:

1. Python

Python takes the first place in the list of all AI development languages due to simplicity. The syntaxes in python are very simple and can be easily learned. Therefore, many algorithms based on AI can be easily implemented in it. It takes a very short time in development in comparison to other languages like Java, C++ or Ruby. There are many libraries in python, which make our tasks easy to implement.

2. R

R is one of the most effective languages and environments for analyzing and manipulating the data for statistical purposes. With the help of the R language, we can easily produce a well-designed publication-quality plot, including mathematical symbols and formulae where needed. R has libraries like RODBC, G models, Class and Tm which are used in the field of machine learning algorithms which are easy for cracking the business associated problems.

3. Lisp

Lisp is one of the oldest and the most suited languages for the development of AI. It has the capability of processing symbolic information effectively. It has excellent prototyping capabilities and easy dynamic creation of new objects, with automatic garbage collection. Its development cycle allows interactive evaluation of expressions and recompilation of functions or files while the program is still running.

4. Prolog

Prolog has features like efficient pattern matching, tree-based data structuring, and automatic backtracking. These features provide a powerful and flexible programming framework. Prolog is mainly used for working on medical projects and also for designing expert AI systems.

5. Java

Java can also be considered as a good choice for AI development. Artificial intelligence has a lot to do with search algorithms, artificial neural networks, and genetic programming. Java provides many benefits: easy use, debugging ease, package services, simplified work with large-scale projects, graphical representation of data and better user interaction. It also has the incorporation of Swing and SWT (the Standard Widget Toolkit). These tools make graphics and interfaces look appealing and sophisticated.