Artificial IntelligenceMargaret A. Boden Artificial Intelligence is the study of how to build or program computers to enable them to do what minds can do. This volume discusses the ways in which computational ideas and computer modeling can aid our understanding of human and animal minds. Major theoretical approaches are outlined, as well as some promising recent developments. Fundamental philosophical questions are discussed along with topics such as: the differences between symbolic and connectionist AI, planning and problem solving, knowledge representation, learning, expert systems, vision, natural language, creativity, and human-computer interaction. This volume is suitable for any psychologist, philosopher, or computer scientist wanting to know the current state of the art in this area of cognitive science.
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Contents
| 1 | |
| 23 | |
Chapter 3 Representation of Knowledge | 55 |
Chapter 4 Machine Learning | 89 |
Chapter 5 Connectionism and Neural Networks | 135 |
Chapter 6 Expert Systems and Theories of Knowledge | 157 |
Chapter 7 Machine Vision | 183 |
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action active adaptive agent analogy analysis animat applied approach architecture Artificial Intelligence behavior Cambridge camera cognitive science complex components computational model concepts connectionism connectionist constraints constructed content theory creativity decision tree described descriptions disks domain elements environment evaluation example expert systems Figure first-order logic Fodor formal function genetic algorithm given goal heuristics human human–computer interaction hypothesis idea implemented inductive input interaction interface involved knowledge base knowledge representation learning algorithms linguistic logical Machine Learning machine vision methods move natural language neural networks neuron Newell node objects operator output parser parsing pattern perceptron performance pose possible preconditions predict Press processor properties psychological reasoning relevant represented result robot rules Section semantic network sentence shape simulated specific structure subgoal symbol syntactic target task techniques theory tion vector