FUTURE OF AI Workshop
Panelists


1. FOUNDATIONS OF AI:
- (including) the future of logical knowledge representation and logical reasoning by computer
1. Hiroki Arimura Kyushu University
2. Stuart Russell University of California, Berkeley
3. Naonori Ueda NTT
4. Akito Sakurai Keio University *Chair

2. DISCOVERY:
- machine learning and knowledge discovery, and the future of those research areas
1. Einoshin Suzuki Yokohama National University
2. Satoru Miyano The Institute of Medical Science, University of Tokyo
3. Thomas Dietterich Oregon State University
4. Hiroshi Motoda Osaka University *Chair

3. HCI:
- Human-Computer Interaction and AI, for example in Computer Supported Cooperative Work (CSCW)
1. Yasuyuki Sumi Advanced Telecommunications Research Institute International
2. Kumiyo Nakakoji RCAST, University of Tokyo
3. Toru Ishida Kyoto University
4. Eric Horvitz Microsoft Research *Chair

4. AI SYSTEMS:
- scaling up AI systems into large systems such as multi-tasking systems
- possibilities of super-intelligent-systems as an extension of expert system capabilities
- integration of different methods for problem solving
1. Ron Brachman DARPA
2. Takashi Washio Osaka University
3. Koji Sasaki AdIn Research, Inc.
4. Setsuo Ohsuga Waseda University
5. Edward A. Feigenbaum Stanford University *Chair

5. HUMAN-LEVEL INTELLIGENCE:
- computational models of "emotional" processing: are they important?
- possibilities of "human-level intelligence" as an AI vector
- creativity: AI and computational models of creativity
- the importance of coupling the "robotics" work of AI with its "cognitive" work, i.e. "putting a mind in a robot"
1. Yukio Osawa University of Tsukuba
2. Masaki Suwa Chukyo University
3. Manuela Veloso Carnegie Mellon University
4. Naomi Miyake Chukyo University *Chair

6. KNOWLEDGE PROCESSING:
- ontologies
- semantic web and intelligent web services
- knowledge management in organizations
1. Katashi Nagao Nagoya University
2. Michael Witbrock CYC Corporation
3. Koiti Hasida National Institute of Advanced Industrial Science and Technology
4. Ramanathan Guha IBM Almaden Research Center
5. Riichiro Mizoguchi Osaka University *Chair

7. SYNTHESIS, SUMMARIES, RESPONSES and OTHER TOPICS:
- contemporary definition of AI
- opportunities missed by not coupling closer with neuroscience--to the science of how the human brain works
- topics such as: dissident views; and "what have we missed?"
1. Koichi Hori University of Tokyo
2. Toyoaki Nishida University of Tokyo *Chair
3. Daniel Bobrow Xerox PARC
4. Paul Cohen University of Massachusetts




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