Artificial Intelligence World Group University -

- Where all is gathered under one roof for research.
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This is a new listing of Articles, thoughts People, and places for Artificial Intelligence, with an emphasis on Common Sense, Knowledge Representation, and Natural Language Understanding/Processing.
What is Artificial Intelligence?
Artificial Intelligence: the use of programs to enable machines to perform tasks which humans perform using their intelligence. (more defs)
Read about AI on Wikipedia

My main concern with AI is enabling a computer program to be able to process, learn and reason with this common knowledge, to be able to excel in a wide range of non-specific information tasks. Simple reading and question answering in a story, newspaper article, or novel. It should be able to read a story on any general topic and be able to recall and apply other world knowledge into the story correctly.

This goal unfortunatly requires a good procedure for the three subtasks, Natural Language Processing, Knowledge Representation, and Common Sense/World Knowledge.

In theory, if the computer is endowed with good Knowledge Representation Database, including a comprehensive common sense database, and is able to process and respond in plain-text english, it will have the ability to process and reason with english texts.

The task of Common Sense Knowledge is probably the least studied area, though it is included in many ways in knowledge representation task. There are two issues with this, one is how to represent the knowledge gathered in a computer processible, and human accessible way. This has not been accomplished yet to my satisfaction. I belive some sort of pure english representation would be the best structure. The second task is actually collecting the Common Sense knowledge. There are a couple of different groups who are doing this now. Knowledge Gathering is usually done for expert systems and is limited in its breadth to a limited domain. The two common sense projects I know about are Open Mind Common Sense and Cycorp. There is one other project type that is very helpful for common sense processing, the ontology systems, such as WordNet. I put forth that each of these has its downsides, and cannot stand alone as a common sense processor, but in combination, and with an added piece of "Large Scale Word Processing" could possibly generate a large scale usable database. By this I mean to statistically processes a large text database, of over 1000 current general fiction books, and use them to extract common sense information.
Common Sense reasoning is by nature centered around the way humans think and react. But these actions can be broken down further into specific areas of understanding.
NLP and mechanical actions have been all discussed before, but the main need for reasoning is the knowledge gathered and the way it is processed and dealt with.
I am looking at several categories here:
People - We interact most often with other people, every day we have a whole network of people we interact with, how we interact, what is done what is said, and what relationship we have with these people is of paramount importance when reasoning about them.
Places - We interact differently according to where we are. We wouldnt do something at work that we may do at home, or at a university environment. Location is a necessary piece of knowledge for adequate reasoning. This can be gathered specifically from GPS coordinates.
Time - All reasoning is context sensitive to time as well. This is easily gathered from an internal clock.
Things - We interact daily with things, a huge database of object knowledge is necessary.
Learning - A system must be able to learn easily, and naturaly about all of the above items. This is of utmost importance, just beneath the Reasoning Tasks. This is a general idea that can be applied to all applications of AI, unlike the Reasoning Task.

Beginnings of Artificial Intelligence -

Artificial Intelligence: the use of programs to enable machines to perform tasks which humans perform using their intelligence. (more defs)
Common Sense: beliefs or propositions that in their opinion they consider would in most people's experience, knowledge held by people "in common". (more)

Research Publications
Research Facilities and Universities
I am also interested in pursuing DARPA grants :
DARPA - Information Processing Technology Office (IPTO) (Cognitive Systems)
The Main project is Cognitive Information Processing Technology (CIPT)
Over the years, DARPA has sponsored Text REtrieval Conference ( TREC) (wiki), Message Understanding for Comprehension ( MUC) ( wiki), speech understanding evaluations, robotic competitions, High Performance Knowledge Bases ( HPKB) and Rapid Knowledge Formation ( RKF) knowledge-base evaluations, and many more.

NSF Research Grants

I am most interested in Strong AI (Searle)
Strong AI is the actual development of high level AI that is concious/autonomous and operates at a human level intelligence
New Tools used in AI Research include Google Books, and Google Scholar
Search G Books for AI (173,000 results)
Search G Scholar for AI (551,000 results)
G Books: "common sense" AI
G Scholars: "common sense" AI
Google AI Military Sites
Printed Articles: 
Formal Ontology, Common Sense and Cognitive Science 
Barry Smith

To Read articles:
Representing Knowledge Soup In Language and Logic
John F. Sowa SUMO
New Site:

ConceptNet Singh Push
ThoghtTreasure Erik Mueller

To Print and Read:
(my link: - American Association for Artificial Intelligence at Rochester NY NEW CLASS: KR - What is a KR? Chris Welty ontologies Ontology and Information Systems Barry Smith Ontology Development 101: A Guide to Creating Your First Ontology Natalya F. Noy and Deborah L. McGuinness ThoughtTreasure Natural Language Processing with ThoughtTreasure Text analysis and knowledge mining system Who's Who? Identifying Concepts and Entities across Multiple Documents. Taxonomies Put Content in Context by Russell Letson NOTICE: ALSO LOOKUP SHORT-STORY UNDERSTANDING< IN THE FOR OF SAT AND GRADE SCHOOL READING COMPREHENSION WORKSHEETS! Henry Lieberman's lecture on Applying Common Sense Reasoning in Interactive Applications (one hour, requires Realplayer). his homepage
Commonsense Bibliography cycorp Story Understanding Resources: Buffalo University in NY The Plots of Children and Machines: The Statistical and Symbolic Semantic Analysis of Narratives 1972 - Charniak - Toward A Model of Children's Story Comprehension Frame Based Text Processing login to acm to get this! NSF Grants - sample one, do a search though for all AI common sense ones! CSAI awards to: Bender, Walter Ashley, Kevin Schubert, Lenhart Symposiums and Talks aaai - The 2005 AAAI Spring Symposium Series International Joint Conference on AI. 2005 INTERNATIONAL COMPUTATIONAL INTELLIGENCE SOCIETY JOIN FREE, ADD BOTH OF THESE TO resume July 9-13, 2005, Pittsburgh, Pennsylvania Timeline Daydreaming machines book 300+ pages James NEw Mexico COnference David Mark's Geography Spatail cognition WordNet 1.7.1 online Take this brain image (TODO CREATE A DARPA IPTO RESEARCH PAGE)