Artificial Intelligence: Critical Concepts, Volume 3Ronald Chrisley, Sander Begeer |
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Contents
VOLUME | 1 |
The artificial life roots of artificial intelligence | 15 |
Historical Context | 61 |
Intelligence without reason | 107 |
Today the earwig tomorrow man? | 164 |
Design for an intelligenceamplifier | 191 |
A dynamical systems perspective on agentenvironment interaction | 210 |
Historical Context | 259 |
Has artificial intelligence research illuminated | 334 |
A retrospect | 359 |
Alchemy and artificial intelligence | 379 |
Can there be? Are we? | 432 |
Introduction to the MIT Press Edition of What Computers | 459 |
A general survey | 497 |
A general survey | 519 |
Modules frames fridgeons sleeping dogs and the music | 550 |
Other editions - View all
Artificial Intelligence: Critical Concepts, Volume 4 Ronald Chrisley,Sander Begeer Limited preview - 2000 |
Artificial Intelligence: Critical Concepts, Volume 1 Ronald Chrisley,Sander Begeer Limited preview - 2000 |
Artificial Intelligence: Critical Concepts, Volume 2 Ronald Chrisley,Sander Begeer Limited preview - 2000 |
Common terms and phrases
action activity Adaptive Behavior animals approach artificial intelligence assumption autonomous agents behavior systems behavior-based robots biological brain Brooks Cambridge chess claim cognitive complex concepts context developed digital computer domain Dreyfus dynamical systems embodied embodied agents emergent encoding environment evolution evolutionary example experience expert systems explicit fact Feigenbaum formal frame problem function genetic algorithms GOFAI halting problem heuristics human idea information processing input intelligent behavior interaction internal knowledge language learning Lenat logic machine Marvin Minsky means mechanisms mind Minsky mobile robot models neural network neurons Newell notion operate organization output particular pattern perception physical possible Press Press/Bradford Books principle question reason reinforcement learning relevant representation require semantic sense sensors Simon Simulation of Adaptive situation solving strong AI structure subsumption architecture supervised learning symbolic task theorem theory things thought tion Turing Turing machine understanding