Glossary

A reasoning method called Backward Chaining which works by starting with a goal in mind and then tracing backward to identify the necessary conditions and rules to reach that goal. This top-down approach is highly effective in problem-solving and logical reasoning scenarios.

Batch Normalization is a technique for improving the speed, performance, and stability during the training of artificial neural networks. It standardizes the inputs to each layer, aiding deep learning.

The Belief-Desire-Intention (BDI) Agent Model is a framework in artificial intelligence research simulating human decision-making process, reflecting mental states- beliefs, desires, intentions.

A Behavior Tree is an effective tool commonly used in game development and robotics programming. It constitutes a hierarchical model that facilitates the design and implementation of decision-making processes within Artificial Intelligence (AI). It comprises various nodes, each symbolizing either an action or condition, with the conditions precisely determining the execution of the specified actions.

Bayesian Programming refers to a unique methodology designed to specify probabilistic models and address issues when there’s a scarcity of required information.

The Bees Algorithm is a unique population-oriented search strategy inspired by honey bee food hunting. Developed in 2005, it solves diverse combinatorial or continuous optimization issues.