CIS 603. Artificial Intelligence

AI as a Whole

1. The Problem

1. What is AI, accurately speaking?
2. Is it possible to build the AI as specified?
3. If AI is possible, what is the most efficient way to do it?
4. Even if we know how to achieve AI, should we really do it?

Issues:

• "AI has been brain-dead since the 1970s" vs. "AI becomes a science (1987-present)".
• internal fragmentation
• external recognition

2. Proposed Solutions

Historical attempts:

• General Problem Solver and Unified Theories of Cognition
• Fifth Generation Computer System
• DARPA's Strategic Computing and Connection Machine

Representative AGI projects

Recent AGI books:

• Eric Baum, What is Thought?, 2004
• Ben Goertzel, The Hidden Pattern: A Patternist Philosophy of Mind, 2006
• Ben Goertzel, Cassio Pennachin (Eds.), Artificial General Intelligence, 2007
• Jeff Hawkins, On Intelligence, 2004
• Marcus Hutter, Universal Artificial Intelligence, 2005
• Pei Wang, Rigid Flexibility: The Logic of Intelligence, 2006

• Achieving Human-Level Intelligence through Integrated Systems and Research, AAAI Fall Symposium, 2004
• Towards Human-Level AI?, NIPS Workshop, 2005
• Integrated Intelligence, AAAI Special Track, since 2006
• Artificial General Intelligence Workshop, 2006
• The First Conference on Artificial General Intelligence, 2008

3. Issues

integrated approach vs. unified approach

4. Reading

5. Ideas

• Artificial Intelligence: What it is, and what it should be
• From NARS to a Thinking Machine