Articles by Ankit

Supervised learning and unsupervised learning are two fundamental approaches in machine learning that differ in their input data and learning objectives. Here’s a comparison between … Read more

A Feedforward neural network is a type of artificial neural network where information flows in a single direction, from the input layer through one or … Read more

A Bayesian belief network, also known as a Bayesian network or probabilistic graphical model, is a graphical representation of probabilistic relationships among variables using directed … Read more

Probabilistic reasoning is a branch of artificial intelligence (AI) that deals with uncertain information and incorporates probability theory to make decisions, draw inferences, and model … Read more

The Dempster-Shafer theory, also known as the theory of belief functions or evidence theory, and the Truth Maintenance System (TMS) are two important concepts in … Read more

Learning in artificial intelligence refers to the process by which an AI system acquires knowledge, improves its performance, and adapts to its environment based on … Read more

Fuzzy logic is a branch of artificial intelligence that deals with uncertainty and imprecision in reasoning and decision-making. It provides a framework for handling situations … Read more

FOPL (First-Order Predicate Logic) and CNF (Conjunctive Normal Form) are two important concepts in artificial intelligence and logic-based reasoning. Let’s understand each of them: First-Order … Read more

Conceptual Dependency originally developed to represent knowledge acquired from natural language input. The goals of this theory are: It has been used by many programs … Read more

Certainly! Here’s a script that represents a visit to a restaurant using a knowledge representation approach: Knowledge Representation Script: Visit to a Restaurant Concepts: Script: … Read more