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I never understood the popularity of their AI text - the discussion of topics other than the most basic search methods is uniformly obtuse and the authors hardl
by dvse 15y ago
I never understood the popularity of their AI text - the discussion of topics other than the most basic search methods is uniformly obtuse and the authors hardly ever make any of the important connections with literature outside their "field", e.g. between reinforcement learning and classical control (see for example Russ Tedrake's notes on OCW [1])
1. http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-832-underactuated-robotics-spring-2009/ http://ocw.mit.edu/courses/electrical-engineering-and-comput....
- giardini 15y agoYes, but that's robotics, not AI. Highly advanced robotics can exist without much "intelligence" (however you define that). The golden ring in AI is human-level (or better) intelligence which may or may not require robotics.
- Dn_Ab 15y agoIt goes the other way too. Reinforcement learning and control theory are also very useful for general machine learning. That's part of the problem - engineers, statisticians and computer scientists keep inventing different views of the same things. Now that people are communicating and consolidating things will start to get even more interesting.
- kenjackson 15y agoDo you have a better AI text? I recently (years ago) tried to teach from Artificial Intelligence: A New Synthesis (http://www.amazon.com/Artificial-Intelligence-Synthesis-Nils-Nilsson/dp/1558604677 http://www.amazon.com/Artificial-Intelligence-Synthesis-Nils...), but found it seriously lacking. For practicing programmers I've found books like "AI for Game Programmers" to be surprisingly good. Although clearly not the breadth or theoretical basis of an actual text. What would be nice are video lectures of a class that follows this text, ala the SICP lectures from MIT.
- dvse 15y agoCertainly nothing remotely comparable to SICP exists. From my point of view people who are interested in these topics are much better off getting some intuition for basic problems in scientific computing and then making the requisite connections themselves. I can wholeheartedly recommend the recent book by Gilbert Strang "Computational Science and Engineering" [1] and companion video lectures for MIT courses 18.085 and 18.086. 1. http://www-math.mit.edu/cse/ http://www-math.mit.edu/cse/
- kenjackson 15y agoThanks for the Strang link. For some reason never noticed this text and lecture videos. He's definitely a treasure in the realm of math education.