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What is Logic Programming? – Advantages, Disadvantages, Work, and More

What is Logic Programming?

Logic programming is a logic-based programming paradigm. This means that a logic programming language has verdicts that follow logic, expressing facts and rules. The calculation does use logical inferences based on all available data. For computer programs to use it, there must be a rationale, called predicates.

There are several different logic programming languages. The most widely used language, Prolog (from the French for logic programming), can also interact with other programming languages such as Java and C. Besides being the most common language. Popular, Prolog was also one of the first of these languages, with the primary prolog program created in the 1970s for use with clarifications.

Prolog develops using first-order logic, also known as predicate logic, which allows variables instead of propositions. Prolog uses artificial intelligence (AI) to draw conclusions and quickly process large amounts of data. And also, prolog can be run with or without physical input, which means that it can automatically run as part of data processing.

Advantages of Logic Programming

logic programming

Logic programming can express knowledge in a way that does not depend on
implementation, making programs more flexible, compressed and understandable.

Allows you to separate knowledge from use, i.e. you can change the architecture of the machine. Without changing the programs or their underlying code.

It can be modified and extended naturally to support particular forms of knowledge, such as
the meta-level of higher-order knowledge. It can use in non-IT disciplines that rely on precise reasoning and means of expression.

Disadvantages of Logic Programming

Initially, due to insufficient assets in complementary technologies, users were poorly
served. At first, poor facilities to support arithmetic, types, etc., had a hard blow effect on the programming community.

There is no good way to represent the computer concepts found in the state variable mechanisms (commonly found in conventional languages). Some programmers have always preferred, and will always prefer, the openly operational nature of machine-actuated programs because they prefer active control to “moving parts”.

How does Logic Programming Work?

Each rule contains a head and a body with formalized logic rather than an executable mathematical function. For example,

“X is true (title): if B1, B2 and B3 are all true. (Body)”

Facts (results) express without a body; for example, “X is true”.

However, with some languages, such as Prolog, imperative programming may also include telling the model how to solve certain problems. For example, “To solve for X, add B1, B2, and B3”.

The other two most widely used languages, Datalog and Answer Set Programming (ASP), are declarative only and do not support explicit troubleshooting instructions.

Prolog of Logic Programming

logic programming

Logic programming, and in particular Prolog, can help businesses and organizations through:

1. Natural Language Processing

Natural Language Processing allows better interactions between humans and computers. NLP can listen to human language in real-time, then process and translate it for computers. This allows technology to “understand” natural language. However, NLP does not limit to spoken language. Instead, NLP can also read and understand documentation, both on paper and in word processing programs. NLP uses amazon Alexa and Google Home technologies o process and understands voice instructions and messaging applications to filter spam and warn of phishing attempts.

2. Database Management

It can use to create, maintain, and query NoSQL databases. It can create databases from big data. Scheduling can identify what information schedule is relevant and store it in the appropriate area. Users can then query these folders with specific questions, such as “What is the best route to New York”, and logical languages can quickly examine all the data, run analysis, and return the relevant result without additional work. The user requires it.

3. Predictive Analytics

With large data sets, logical languages can look for inconsistencies or areas of differentiation to make predictions. This can be useful for identifying potentially dangerous activities (such as taking a bike ride in the middle of a storm) or predicting industrial machinery failures. It can also analyze photos and make forecasts around images, such as predicting the identity of objects in cable photos or recognizing patterns that differentiate craters from regular landmasses.


It is the organization and planning of instructions in an algorithm to implement a program or software visible. It is the coherent organization of the program’s instructions to achieve its objective.

Also Read: What is the Blockchain? – Works, Future, Advantages, and More

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