This is my first post of links about this fascinating and wide topic. See my other posts about Artificial Intelligence.
Artificial intelligence (AI) is the intelligence of machines and the branch of computer science that aims to create it. AI textbooks define the field as “the study and design of intelligent agents” where an intelligent agent is a system that perceives its environment and takes actions that maximize its chances of success. John McCarthy, who coined the term in 1955, defines it as “the science and engineering of making intelligent machines.”
AI research is highly technical and specialized, deeply divided into subfields that often fail to communicate with each other. Some of the division is due to social and cultural factors: subfields have grown up around particular institutions and the work of individual researchers. AI research is also divided by several technical issues. There are subfields which are focussed on the solution of specificproblems, on one of several possible approaches, on the use of widely differing tools and towards the accomplishment of particularapplications. The central problems of AI include such traits as reasoning, knowledge, planning, learning, communication, perception and the ability to move and manipulate objects. General intelligence (or “strong AI”) is still among the field’s long term goals. Currently popular approaches include statistical methods, computational intelligence and traditional symbolic AI. There are an enormous number of tools used in AI, including versions of search and mathematical optimization, logic, methods based on probability and economics, and many others.
History of artificial intelligence
Programming with Natural Language Is Actually Going to Work
Personal Robots Group
This Is Your Brain on Metaphors
Machine Learning: A Love Story
Natural language processing in Clojure, Go and Cython
La conciencia y su cerebro
Somos organismos, no ángeles y nuestras mentes son órganos, no conductos por los que circule la verdad.
Ability to ‘see’ advances artificial intelligence
Eric Horvitz, a distinguished scientist at Microsoft Research, has an equally distinguished receptionist.
Computer beats human at Japanese chess for first time
Machine Learning for Bug Discovery
A computer learns the hard way: By reading the Internet
At Carnegie-Mellon university, a massive computer system called NELL (Never Ending Language Learner) is systematically reading the internet and analyzing sentences for semantic categories and facts, teaching itself English and educating itself in human affairs.
Artificial Intelligence Conducts Better Experiments
Expert Systems and Prolog
In the history of artificial intelligence, an AI winter is a period of reduced funding and interest in artificial intelligence research.
Robots on TV: AI goes back to baby basics
Deceptive robots hint at machine self-awareness
A Rule-Based Inference Engine
which is Optimal and VLSI Implementable
How the inference engine works
In simple rule-based systems, there are two kinds of inference, forward chaining and backward chaining.
“The Selfish Biocosm” -A Radical Theory Says We’ve Already Received a Message from ET
Gardner believes that we’ve already received a message from ET: a message coded into the laws and constants of our universe, including the inexplicable force we’ve named dark energy that’s accelerating cosmic expansion. His theory makes sense of the observation that the constants seems rigged in favor of the emergence of life.
The one computer to rule them all
Is AI More Common Than Biological Intelligence Across the Universe?
In a recent article, Search for Extraterrestrial Intelligence (SETI) astronomer Seth Shostak makes an intriguing claim: SETI should start pointing its telescopes toward corners of the known universe that would be friendly not just to intelligent aliens but to artificial alien intelligence.
Top journals in Artificial Intelligence
The greatest program ever written
ZX-81 Chess in 1k
Cognitive Computing Project Aims to Reverse-Engineer the Mind