本文探讨了智能体的行为准则，从思考人性到遵循理性，再到像人类一样行动的图灵测试。文中提及了机器学习的关键领域，如知识表示、自然语言处理、自动推理等，并指出完全的图灵测试还需加入计算机视觉与机器人技术。此外，文章还讨论了认知科学与人工智能之间的关系。
think or act, fidelity or ideal, like human or rationally.
Act Human: Turning Test
- Machine learning
- knowledge representation
- natural language
- automated reasoning
Total Turning Test add two things:
- computer vision
- robotics
Study underlying principles of intelligence than to duplicance one.
Think humanly: the cognitive modeling approach
Cognitive Science:
try to through
- introspection
- psychological experiments
- brain imaging
to get precise theory of mind.
old author think AI == Cognitive Science, modern author think AI <> Cognitive Science, but there is fertilize of both, as computer vision.
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