The computational paradigm that is NOT considered as SUB-SYMBOLIC from the given options is Object Oriented Programming.

Here's why:

1. Artificial Neural Networks: This is a sub-symbolic computational paradigm. It is based on the operation of the human brain and is used to simulate human decision making process.

2. Evolutionary Computing: This is also a sub-symbolic computational paradigm. It is based on the principles of evolution such as reproduction, mutation, recombination, and selection.

3. Object Oriented Programming: This is NOT a sub-symbolic computational paradigm. It is a programming paradigm based on the concept of "objects", which can contain data and code: data in the form of fields (often known as attributes), and code, in the form of procedures (often known as methods).

4. Genetic Algorithms: This is a sub-symbolic computational paradigm. It is a search heuristic that is inspired by Charles Darwin’s theory of natural evolution.

So, the answer is Object Oriented Programming.

Question

The computational paradigm that is NOT considered as SUB-SYMBOLIC from the given options is Object Oriented Programming.

Here's why:

1. Artificial Neural Networks: This is a sub-symbolic computational paradigm. It is based on the operation of the human brain and is used to simulate human decision making process.

2. Evolutionary Computing: This is also a sub-symbolic computational paradigm. It is based on the principles of evolution such as reproduction, mutation, recombination, and selection.

3. Object Oriented Programming: This is NOT a sub-symbolic computational paradigm. It is a programming paradigm based on the concept of "objects", which can contain data and code: data in the form of fields (often known as attributes), and code, in the form of procedures (often known as methods).

4. Genetic Algorithms: This is a sub-symbolic computational paradigm. It is a search heuristic that is inspired by Charles Darwin’s theory of natural evolution.

So, the answer is Object Oriented Programming.

Knowee AI · Accepted Answer

The computational paradigm that is NOT considered as SUB-SYMBOLIC from the given options is Object Oriented Programming.

Here's why:

1. Artificial Neural Networks: This is a sub-symbolic computational paradigm. It is based on the operation of the human brain and is used to simulate human decision making process.

2. Evolutionary Computing: This is also a sub-symbolic computational paradigm. It is based on the principles of evolution such as reproduction, mutation, recombination, and selection.

3. Object Oriented Programming: This is NOT a sub-symbolic computational paradigm. It is a programming paradigm based on the concept of "objects", which can contain data and code: data in the form of fields (often known as attributes), and code, in the form of procedures (often known as methods).

4. Genetic Algorithms: This is a sub-symbolic computational paradigm. It is a search heuristic that is inspired by Charles Darwin’s theory of natural evolution.

So, the answer is Object Oriented Programming.

Which of the following computational paradigms are NOT considered as SUB-SYMBOLIC? Artificial Neural Networks Evolutionary Computing Object Oriented Programming Genetic Algorithms

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