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| public:t-720-atai:atai-20:intelligence [2020/10/28 14:48] – [So What Is Intelligence?] thorisson | public:t-720-atai:atai-20:intelligence [2024/04/29 13:33] (current) – external edit 127.0.0.1 |
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| | AI spans many fields | Psychology, mathematics and computation, neurology, philosophy. | | | AI spans many fields | Psychology, mathematics and computation, neurology, philosophy. | |
| | Alternative View | Psychology, mathematics & computation, neurology, and philosophy all were sooner than AI to address concepts of high relevance to the study of intelligence. | | | Alternative View | Psychology, mathematics & computation, neurology, and philosophy all were sooner than AI to address concepts of high relevance to the study of intelligence. | |
| | Is AI a subfield of computer science? | Yes and No. Yes, because this is the field that has the best and most tools for studying it as a phenomenon. No, because the field does not address important concepts and features of intelligence. | | | Is AI a subfield of computer science? | \\ Yes and No. Yes, because this is the field that has the best and most tools for studying it as a phenomenon. No, because the field does not address important concepts and features of intelligence. | |
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| //* Like the difference between constructing brick walls to study the stability of rock formations in nature versus the engineering principles of building brick walls: If the principles are well understood (weight distribution and stability), you should be able to build walls out of many materials.// | //* Like the difference between constructing brick walls to study the stability of rock formations in nature versus the engineering principles of building brick walls: If the principles are well understood (weight distribution and stability), you should be able to build walls out of many materials.// |
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| | Why The Question Matters | \\ It is important to know what you're studying and researching! | | | Why The Question Matters | \\ It is important to know what you're studying and researching! | |
| | The Challenge | You cannot define something precisely until you understand it! \\ Premature precise definitions may be much worse than loose definitions or even bad-but-rough definitions: You are very likely to end up researching //something other// than what you set out to research. | | | \\ The Challenge | You cannot define something precisely until you understand it! \\ Premature precise definitions may be much worse than loose definitions or even bad-but-rough definitions: You are very likely to end up researching //something other// than what you set out to research. | |
| | What Can We Do? | List the //requirements//. Even a partial list will go a long way towards helping steer the research. \\ Engineers use requirements to guide their building of artifacts. If the artifact doesn't meet the requirements it is not a valid member of the category that was targeted. \\ In science it is not customary to use requirements to guide research questions, but it works just the same (and equally well!): List the features of the phenomenon you are researching and group them into **essential**, **important but non-essential**, and **other**. Then use these to guide the kinds of questions you try to answer. | | | \\ \\ What Can We Do? | List the //requirements//. Even a partial list will go a long way towards helping steer the research. \\ Engineers use requirements to guide their building of artifacts. If the artifact doesn't meet the requirements it is not a valid member of the category that was targeted. \\ In science it is not customary to use requirements to guide research questions, but it works just the same (and equally well!): List the features of the phenomenon you are researching and group them into **essential**, **important but non-essential**, and **other**. Then use these to guide the kinds of questions you try to answer. | |
| | Before Requirements, Look At Examples | To get to a good list it may be necessary to explore the boundaries of your phenomenon. | | | Before Requirements, Look At Examples | \\ To get to a good list it may be necessary to explore the boundaries of your phenomenon. | |
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