Rules-based systems  are a simple kind of artificial intelligence, which use a series of IF-THEN statements that guide a computer to reach a conclusion or recommendation. The domain experts specify all the steps taken to make a decision and how to handle any special cases and this full knowledge of the experts is hard-coded into the system.


Rules-Based Systems (A Simple Kind of AI)

- Natural language processing
- Knowledge representation and reasoning
- Planning and scheduling
- Search methodologies
- Control methods
- Philosophical/theoretical foundations of artificial intelligence
- Distributed artificial intelligence
- Computer vision

Artifical Intelligence in ACM Computing Classification

What does the analogy "AI is the new electricity"  refer to?

- Human computer interaction (HCI)
- Interaction design
- Collaborative and social computing
- Ubiquitous and mobile computing
- Data Visualization
- Accessibility

Human-centered computing in ACM Computing Classification

System information consists of contextual details or constraints provided to a Large Language Model (LLM) to guide its response for a specific task. This information helps the LLM understand its expected role, the format of the output, or other operational boundaries.

System Information for LLMs

This node organizes learning references about artificial intelligence by resource type.

Artificial Intelligence References by Resource Type

AI is the field of study that incorporates human intelligence onto computer systems in the pursuit of making them capable of performing tasks that require human intelligence.

University of Michigan - Ann Arbor

- Symbolic and algebraic manipulation
- Parallel computing methodologies
- Artificial intelligence
- Machine learning
- Modeling and simulation
- Computer graphics
- Distributed computing methodologies
- Concurrent computing methodologies

Computing methodologies in ACM Computing Classification

Wilkins, N. (2019). Artificial Intelligence: An Essential Beginner’s Guide to AI, Machine Learning, Robotics, The Internet of Things, Neural Networks, Deep Learning, Reinforcement Learning, and Our Future. Bravex Publications.

Amazon link: [www.amazon.com/Artificial-Intelligence-Essential-Beginners-Reinforcement/dp/1950922510](https://www.amazon.com/Artificial-Intelligence-Essential-Beginners-Reinforcement/dp/1950922510) 

AI: An Essential Beginner's Guide

Computer Vision

In the dominant machine learning approach, rather than designing explicit step-by-step rules to map inputs to outputs, practitioners define a flexible program whose behavior is governed by a set of adjustable parameters. By presenting this program with a large dataset of examples and labels, a learning algorithm determines the optimal parameter values that maximize the model's performance on the desired task.

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