A production system is a type of artificial intelligence program that uses rules to represent knowledge and solve problems. It consists of productions, which are if-then statements that specify a condition and corresponding action. Productions execute to achieve a goal. Strong method production systems rely heavily on domain-specific knowledge, while weak method systems use general logic and reasoning techniques applicable to many problems without deep knowledge of any single domain.

1. Production System in
Artificial intelligence
Presented By:
Paramita Kandel

2. Introduction
 a computer program typically used to provide some
form of artificial intelligence
 consists primarily of a set of rules about behavior
 Productions are a basic representation found useful in
automated planning, expert systems and action
selection
 provides the mechanism necessary to execute
productions in order to achieve some goal for the
system.
 consist of two parts: a sensory precondition (or "IF"
statement) and an action (or "THEN").

3. Strong Method
 depends on a system being given a great deal of
knowledge about its world and the problems that it
might encounter.
 problem solving depends on the weak methods because
a system with knowledge is useless without some
methodology for handling that knowledge.

4. Weak Method
 use systems such as logic, automated reasoning, and
other general structures that can be applied to a wide
range of problems
 do not necessarily incorporate any real knowledge
about the world of the problem that is being solved.

5. Weak Vs Strong Method
● WM: Focused towards the technology which is capable
of carrying out pre planned moves based on some rules
and applying it to achieve goals
● SM: Based on coming up with a technology that can
think and function similar to humans
● Application of weak method makes humans feel that
machines are acting intelligent
● Application of strong method will act and think like
human and making humans feel machines are
intelligent

6. Advantages
• Provides excellent tool for structuring AI
programs
• Highly modular because individual rules can be
added, removed or modified independently
• Expressed in natural form