Affective computing is the study and development of systems and devices that can recognize, interpret, process, and simulate human affects. It is an interdisciplinary field spanning computer… Read more “Social Intelligence”

The field of robotics is closely related to AI. Intelligence is required for robots to be able to handle such tasks as object manipulation and navigation, with… Read more “Robotics – AI in Motion and Manipulation”

Machine perception is the capability of a computer system to interpret data in a manner that is similar to the way humans use their senses to relate… Read more “Machine Perception”

Machine learning is the study of computer algorithms that improve automatically through experience and has been central to AI research since the field’s inception. Unsupervised learning is… Read more “AI Goals- Learning”

Intelligent agents must be able to set goals and achieve them. They need a way to visualize the future (they must have a representation of the state… Read more “AI Goals- Planning”

Early AI researchers developed algorithms that imitated the step-by-step reasoning that humans use when they solve puzzles or make logical deductions. By the late 1980s and 1990s,… Read more “Deduction, Reasoning, Problem Solving”

We will find that different aspects of driving suggest different types of agent program. We will consider four types of agent program: Simple reflex agents Agents that… Read more “Types of Agent Program”

In the simplest case of an agent reasoning about what it should do, the agent has a state-based model of the world, with no uncertainty and with… Read more “Search for Solution”

Introduction: The job of AI is to design the agent program: a function that implements the agent mapping from percepts to actions. We assume this program will… Read more “Structure of Intelligent Agents”