Month: May 2020

1. What is Unification? Unification is a process of making two different logical atomic expressions identical by finding a substitution. Unification depends on the substitution […]

Inference in First-Order Logic is used to deduce new facts or sentences from existing sentences. Before understanding the FOL inference rule, let’s understand some basic […]

1. What is knowledge-engineering? The process of constructing a knowledge-base in first-order logic is called as knowledge- engineering. In knowledge-engineering, someone who investigates a particular domain, […]

In the topic of Propositional logic, we have seen that how to represent statements using propositional logic. But unfortunately, in propositional logic, we can only […]

As in the previous topic we have learned about the wumpus world and how a knowledge-based agent evolves the world. Now in this topic, we […]

1. Wumpus world: The Wumpus world is a simple world example to illustrate the worth of a knowledge-based agent and to represent knowledge representation. It […]

1. Inference: In artificial intelligence, we need intelligent computers which can create new logic from old logic or by evidence, so generating the conclusions from evidence […]

Propositional logic (PL) is the simplest form of logic where all the statements are made by propositions. A proposition is a declarative statement which is […]

There are mainly four ways of knowledge representation which are given as follows: Logical Representation Semantic Network Representation Frame Representation Production Rules 1. Logical Representation […]

Humans are best at understanding, reasoning, and interpreting knowledge. Human knows things, which is knowledge and as per their knowledge they perform various actions in […]

An intelligent agent needs knowledge about the real world for taking decisions and reasoning to act efficiently. Knowledge-based agents are those agents who have the capability of maintaining an internal […]

Alpha-beta pruning is a modified version of the minimax algorithm. It is an optimization technique for the minimax algorithm. As we have seen in the […]

Mini-max algorithm is a recursive or backtracking algorithm which is used in decision-making and game theory. It provides an optimal move for the player assuming […]

Adversarial search is a search, where we examine the problem which arises when we try to plan ahead of the world and other agents are […]

We have studied the strategies which can reason either in forward or backward, but a mixture of the two directions is appropriate for solving a […]

Hill climbing algorithm is a local search algorithm which continuously moves in the direction of increasing elevation/value to find the peak of the mountain or […]

So far we have talked about the uninformed search algorithms which looked through search space for all possible solutions of the problem without having any […]

Uninformed search is a class of general-purpose search algorithms which operates in brute force-way. Uninformed search algorithms do not have additional information about state or […]

Search algorithms are one of the most important areas of Artificial Intelligence. This topic will explain all about the search algorithms in AI. 1. Problem-solving […]

In 1950, Alan Turing introduced a test to check whether a machine can think like a human or not, this test is known as the […]