Artificial Intelligence

Artificial Intelligence References

This page lists references to the computer science field of Artificial Intelligence.

Social Implications of AI
“….an ultraintelligent machine could design even better machines; there would then unquestionably be an “intelligence explosion”, and the intelligence of man would be left far behind. Thus the first ultraintelligent machine is the last invention man need ever make.”
– Irving Good, 1965

Adaptaive AI, Inc
Imagine if computers could learn and think.
Imagine if software was more flexible and adaptable to work the way you want it to.
Imagine if you could converse with your computer in plain English.
Imagine if more intelligent computers helped organizations operate more efficiently and effectively while enhancing the satisfaction of their customers.
We are Adaptive AI, Inc. We bring artificial general intelligence to life in business, entertainment and consumer products with far-reaching innovations that will revolutionize how humans and computers interact with each other.

AIJ – Artificial
Intelligence API’s for Java
AIJ aims to define a set of Artificial Intelligence API’s for Java on both J2ME and J2SE platforms.
The AIJ Alpha interfaces are avaliable for public review.

Ai Research – Creating a new form
of life

Ai Research is a leading artificial intelligence research project. At Ai, we’re
creating a new form of life. Our expanding web site is an essential part of the
emerging global discussion about artificial intelligence. On this website, we showcase
the state of the art in pattern-matching conversational machines, demonstrated by
Alan, and in reinforcement learning algorithms, demonstrated by HAL. Use our forums,
original papers, online labs, demos and links to explore what’s happening both at
Ai (the project) and in AI (the field).

Artificial
Intelligence – A Modern Approach

The leading textbook in Artificial Intelligence.
Used in over 1100 universities in over 100 countries.
The 85th most cited publication on Citeseer.

CiteSeerX

Scientific Literature Digital Library and Search Engine

Artificial Intelligence: Structures and Strategies for Complex Problem
Solving

This is the official website for George Luger’s AI textbook,
now in its sixth edition. Here, you will find a variety of accompanying
materials including source code implementing AI algorithms, demonstrations of
algoritms running, links to related material, and much more. Use the navigation
bar above to find what you need.

CSAIL
Computation lies at the heart of understanding all physical and biological systems. Many solutions to the most challenging problems of our lives, our work, and our world, therefore, are based in computation. MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) studies this vast, compelling field in an effort to unlock the secrets of human intelligence, extend the functional capabilities of machines, and explore human/machine interactions. We apply that knowledge with a long-term lens to engineer innovative solutions with global impact.

Encog-Java
Encog is an advanced neural network and bot programming library. Encog can be used independently either to create neural networks or HTTP bot programs. Encog also includes classes that combine these two advanced features. Encog contains classes for Feedforward Neural Networks, Hopfield Neural Networks, and self organizing maps. Training can be accomplished using backpropagation, simulated annealing, and genetic optimization. Additional classes are provided for pruning neural networks.
Encog also includes advanced HTTP bot programming features. A multithreaded spider that can store its workload either in memory on a database is provided. HTML parsing is provided, as well as advanced form and cookie handling.

Genetic Programming
Inc.

A privately funded research group that does research in applying genetic programming.

MIT OpenCourseWare
MIT Computer Science course for the department’s “Artificial Intelligence and Applications” concentration. This course introduces students to the basic knowledge representation, problem solving, and learning methods of artificial intelligence. Upon completion of 6.034, students should be able to: develop intelligent systems by assembling solutions to concrete computational problems, understand the role of knowledge representation, problem solving, and learning in intelligent-system engineering, and appreciate the role of problem solving, vision, and language in understanding human intelligence from a computational perspective.

Novamente LLC
Leveraging its uniquely powerful artificial general intelligence technology, Novamente supplies software products and services to power intelligent virtual agents for virtual worlds, computer games, and simulations.

Self Aware Systems
This site has talks and papers by Steve Omohundro about natural intelligence, artificial intelligence, and cooperative technology. Steve is currently writing a book about how to use insights into emergent intelligence to transform your business, your life, and your future.

Singularity Institute for Artificial Intelligence
In the coming decades, humanity will likely create a powerful artificial intelligence. The Singularity Institute for Artificial Intelligence (SIAI) exists to confront this urgent challenge, both the opportunity and the risk. Our objectives as an organization are:

-> To ensure the development of friendly Artificial Intelligence, for the benefit of all mankind;
-> To prevent unsafe Artificial Intelligence from causing harm;
-> To encourage rational thought about our future as a species

Software Cost Estimation
COnstructive COst MOdel II (COCOMO II) is a model that allows one to estimate the cost, effort, and schedule when planning a new software development activity. COCOMO II is the latest major extension to the original COCOMO (COCOMO 81) model published in 1981.

Stanford School of Engineering
For the first time in its history, Stanford is offering some of its most popular engineering classes free of charge to students and educators around the world. Stanford Engineering Everywhere (SEE) expands the Stanford experience to students and educators online. A computer and an Internet connection are all you need. View lecture videos, access reading lists and other course handouts, take quizzes and tests, and communicate with other SEE students, all at your convenience.

The Trajectory of Nanotechnology
E-drexler.com explores a line of technological development that begins with current laboratory capabilities for molecular engineering and extends along an incremental path toward the transformative technologies of high-throughput atomically precise manufacturing.


What is artificial intelligence?

Presented by John McCarthy, Computer Science Department at Stanford University.
This article for the layman answers basic questions about artificial intelligence.
The opinions expressed here are not all consensus opinion among researchers in AI.

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