Related Links
Courses. There are a number of courses in artificial intelligence and machine learning offered by the School; please see the SCIS website for more information.
Other AI research in the School:
- Torsten Hahmann directs SKAI Lab, focusing on formal representations and ontologies, especially for spatial informatics
- Sepideh Ghanavati directs the PERC-Lab, which includes research on using machine learning in software engineering and privacy.
Other AI-related projects and people on campus. See the UMaine AI Initiative website for more information.
AAAI. The major professional society for artificial intelligence is the Association for the Advancement of Artificial Intelligence. AAAI’s Web site is a good source of information about the field, upcoming conferences, etc.
Conferences. There are many conferences on artificial intelligence. The two major conferences in the field, which are considered as prestigious as any AI journal except for Artificial Intelligence itself, are the AAAI, the AAAI Conference on Artificial Intelligence (called “triple-A I”), and IJCAI, the International Joint Conference on Artificial Intelligence (pronounced “ij-kai”). The major planning conference is ICAPS, the International Conference on Automated Planning and Scheduling (“eye-caps”). The major conference in natural language processing is COLING, the International Conference on Computational Linguistics (“co-ling”). The major conference for intelligent agents and multiagent systems are [AAMAS][aamas], the International Conference on Autonomous Agents and Multiagent Systems (“amos”). The major conference for context-related research is CONTEXT, the International and Interdisciplinary Conference on Modeling and Using Context. Many, many specialized conferences exist.
AI textbook. The best textbook for artificial intelligence, in my
opinion, is Russell & Norvig’s authoritative
AI: A Modern Approach (AIAMA). NOTE: This is primarily an AI textbook, not a machine learning textbook, so you will find little about LLMs and neural networks in it.
Many
other textbooks exist as well, both for AI and for machine learning.
AI on the Web. There are many sites on the Web devoted to AI. Two of note are: AI on the Web, which is part of the AIAMA site; and the AI FAQ.
AI repositories and tools. There are many, many AI tools on the Web. Some places to look include:
- CMU AI Repository
- Common Lisp Directory, especially the section on AI
- CLiki, the Common Lisp Wiki; it has a section on AI
- LISPwire
Some particular tools that might be of interest are: