2019’s Best Artificial Intelligence PDF Books, Notes, Course Data and Tutorials
Here you will get access to free Artificial Intelligence PDF Books, Notes, Course Data and Tutorials that will help you to boost your Artificial Intelligence skills.
Introduction to Artificial Intelligence
In computer science, artificial intelligence (AI), sometimes called machine intelligence, is intelligence demonstrated by machines, in contrast to the natural intelligence displayed by humans. Leading AI textbooks define the field as the study of “intelligent agents”: any device that perceives its environment and takes actions that maximize its chance of successfully achieving its goals. Colloquially, the term “artificial intelligence” is often used to describe machines (or computers) that mimic “cognitive” functions that humans associate with the human mind, such as “learning” and “problem solving”.
As machines become increasingly capable, tasks considered to require “intelligence” are often removed from the definition of AI, a phenomenon known as the AI effect. A quip in Tesler’s Theorem says “AI is whatever hasn’t been done yet.” For instance, optical character recognition is frequently excluded from things considered to be AI, having become a routine technology. Modern machine capabilities generally classified as AI include successfully understanding human speech, competing at the highest level in strategic game systems (such as chess and Go), autonomously operating cars, intelligent routing in content delivery networks, and military simulations.
Best Artificial Intelligence PDF Books Free Download
Artificial Intelligence Classification
Artificial intelligence can be classified into three different types of systems:
- Humanized artificial intelligence.
Analytical AI has only characteristics consistent with cognitive intelligence; generating a cognitive representation of the world and using learning based on past experience to inform future decisions.
Human-inspired AI has elements from cognitive and emotional intelligence; understanding human emotions, in addition to cognitive elements, and considering them in their decision making.
Humanized AI shows characteristics of all types of competencies (i.e., cognitive, emotional, and social intelligence), is able to be self-conscious and is self-aware in interactions.
This Outline Will be similar with your University 2020 Course Outline for Artificial Intelligence Subject.
Artificial Intelligence: Introduction, AI Paradigms and Hypothesis, Intelligent Agents. Difference between Cybernetic Intelligence and Artificial Intelligence, Objectives and Scope of Weak AI and Strong AI, Problem-solving: Solving Problems by Searching, Informed Search and Exploration, Constraint Satisfaction Problems, Adversarial Search. Knowledge and reasoning: Logical Agents, First-Order Logic, Inference in First-Order Logic, Knowledge Representation. Planning and Acting in the Real World. Uncertain knowledge and reasoning: Uncertainty, Probabilistic Reasoning, Probabilistic Reasoning over Time, Making Simple Decisions, Making Complex Decisions. Learning: Learning from Observations, Knowledge in Learning; Learning Methods, Reinforcement Learning. Communicating, perceiving, and acting: Communication, Probabilistic Language Processing, Perception and Robotics. Introduction to LISP/PROLOG and Expert Systems (ES) and Applications; Artificial General Intelligence, Issues in Safe AI, Introduction to Cognitive and Conscious Systems.
Best Recommended Artificial Intelligence PDF Books, Notes, Tutorials for Universities:
Here is detailed list of best Artificial Intelligence Books for Universities:
- Artificial Intelligence: Structures and Strategies for Complex Problem Solving: International Edition by George F. Luger
- Artificial Intelligence: A Modern Approach by Stuart Jonathan Russell, Peter Norvig, John F. Canny
- Superintelligence: Paths, Dangers, Strategies by Nick Bostrom
- The Singularity Is Near: When Humans Transcend Biology by Ray Kurzweil