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Building machines that learn and think for themselves
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| Zeitschriftentitel: | Behavioral and Brain Sciences |
|---|---|
| Personen und Körperschaften: | , , , , , , , , , , , , , , , , , , |
| In: | Behavioral and Brain Sciences, 40, 2017 |
| Format: | E-Article |
| Sprache: | Englisch |
| veröffentlicht: |
Cambridge University Press (CUP)
|
| Schlagwörter: |
| author_facet |
Botvinick, Matthew Barrett, David G. T. Battaglia, Peter de Freitas, Nando Kumaran, Darshan Leibo, Joel Z Lillicrap, Timothy Modayil, Joseph Mohamed, Shakir Rabinowitz, Neil C. Rezende, Danilo J. Santoro, Adam Schaul, Tom Summerfield, Christopher Wayne, Greg Weber, Theophane Wierstra, Daan Legg, Shane Hassabis, Demis Botvinick, Matthew Barrett, David G. T. Battaglia, Peter de Freitas, Nando Kumaran, Darshan Leibo, Joel Z Lillicrap, Timothy Modayil, Joseph Mohamed, Shakir Rabinowitz, Neil C. Rezende, Danilo J. Santoro, Adam Schaul, Tom Summerfield, Christopher Wayne, Greg Weber, Theophane Wierstra, Daan Legg, Shane Hassabis, Demis |
|---|---|
| author |
Botvinick, Matthew Barrett, David G. T. Battaglia, Peter de Freitas, Nando Kumaran, Darshan Leibo, Joel Z Lillicrap, Timothy Modayil, Joseph Mohamed, Shakir Rabinowitz, Neil C. Rezende, Danilo J. Santoro, Adam Schaul, Tom Summerfield, Christopher Wayne, Greg Weber, Theophane Wierstra, Daan Legg, Shane Hassabis, Demis |
| spellingShingle |
Botvinick, Matthew Barrett, David G. T. Battaglia, Peter de Freitas, Nando Kumaran, Darshan Leibo, Joel Z Lillicrap, Timothy Modayil, Joseph Mohamed, Shakir Rabinowitz, Neil C. Rezende, Danilo J. Santoro, Adam Schaul, Tom Summerfield, Christopher Wayne, Greg Weber, Theophane Wierstra, Daan Legg, Shane Hassabis, Demis Behavioral and Brain Sciences Building machines that learn and think for themselves Behavioral Neuroscience Physiology Neuropsychology and Physiological Psychology |
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botvinick, matthew |
| spelling |
Botvinick, Matthew Barrett, David G. T. Battaglia, Peter de Freitas, Nando Kumaran, Darshan Leibo, Joel Z Lillicrap, Timothy Modayil, Joseph Mohamed, Shakir Rabinowitz, Neil C. Rezende, Danilo J. Santoro, Adam Schaul, Tom Summerfield, Christopher Wayne, Greg Weber, Theophane Wierstra, Daan Legg, Shane Hassabis, Demis 0140-525X 1469-1825 Cambridge University Press (CUP) Behavioral Neuroscience Physiology Neuropsychology and Physiological Psychology http://dx.doi.org/10.1017/s0140525x17000048 <jats:title>Abstract</jats:title><jats:p>We agree with Lake and colleagues on their list of “key ingredients” for building human-like intelligence, including the idea that model-based reasoning is essential. However, we favor an approach that centers on one additional ingredient: autonomy. In particular, we aim toward agents that can both build and exploit their own internal models, with minimal human hand engineering. We believe an approach centered on autonomous learning has the greatest chance of success as we scale toward real-world complexity, tackling domains for which ready-made formal models are not available. Here, we survey several important examples of the progress that has been made toward building autonomous agents with human-like abilities, and highlight some outstanding challenges.</jats:p> Building machines that learn and think for themselves Behavioral and Brain Sciences |
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Building machines that learn and think for themselves |
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Building machines that learn and think for themselves |
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Building machines that learn and think for themselves |
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Building machines that learn and think for themselves |
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Building machines that learn and think for themselves |
| title_short |
Building machines that learn and think for themselves |
| title_sort |
building machines that learn and think for themselves |
| topic |
Behavioral Neuroscience Physiology Neuropsychology and Physiological Psychology |
| url |
http://dx.doi.org/10.1017/s0140525x17000048 |
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2017 |
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<jats:title>Abstract</jats:title><jats:p>We agree with Lake and colleagues on their list of “key ingredients” for building human-like intelligence, including the idea that model-based reasoning is essential. However, we favor an approach that centers on one additional ingredient: autonomy. In particular, we aim toward agents that can both build and exploit their own internal models, with minimal human hand engineering. We believe an approach centered on autonomous learning has the greatest chance of success as we scale toward real-world complexity, tackling domains for which ready-made formal models are not available. Here, we survey several important examples of the progress that has been made toward building autonomous agents with human-like abilities, and highlight some outstanding challenges.</jats:p> |
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| author | Botvinick, Matthew, Barrett, David G. T., Battaglia, Peter, de Freitas, Nando, Kumaran, Darshan, Leibo, Joel Z, Lillicrap, Timothy, Modayil, Joseph, Mohamed, Shakir, Rabinowitz, Neil C., Rezende, Danilo J., Santoro, Adam, Schaul, Tom, Summerfield, Christopher, Wayne, Greg, Weber, Theophane, Wierstra, Daan, Legg, Shane, Hassabis, Demis |
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| description | <jats:title>Abstract</jats:title><jats:p>We agree with Lake and colleagues on their list of “key ingredients” for building human-like intelligence, including the idea that model-based reasoning is essential. However, we favor an approach that centers on one additional ingredient: autonomy. In particular, we aim toward agents that can both build and exploit their own internal models, with minimal human hand engineering. We believe an approach centered on autonomous learning has the greatest chance of success as we scale toward real-world complexity, tackling domains for which ready-made formal models are not available. Here, we survey several important examples of the progress that has been made toward building autonomous agents with human-like abilities, and highlight some outstanding challenges.</jats:p> |
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| spelling | Botvinick, Matthew Barrett, David G. T. Battaglia, Peter de Freitas, Nando Kumaran, Darshan Leibo, Joel Z Lillicrap, Timothy Modayil, Joseph Mohamed, Shakir Rabinowitz, Neil C. Rezende, Danilo J. Santoro, Adam Schaul, Tom Summerfield, Christopher Wayne, Greg Weber, Theophane Wierstra, Daan Legg, Shane Hassabis, Demis 0140-525X 1469-1825 Cambridge University Press (CUP) Behavioral Neuroscience Physiology Neuropsychology and Physiological Psychology http://dx.doi.org/10.1017/s0140525x17000048 <jats:title>Abstract</jats:title><jats:p>We agree with Lake and colleagues on their list of “key ingredients” for building human-like intelligence, including the idea that model-based reasoning is essential. However, we favor an approach that centers on one additional ingredient: autonomy. In particular, we aim toward agents that can both build and exploit their own internal models, with minimal human hand engineering. We believe an approach centered on autonomous learning has the greatest chance of success as we scale toward real-world complexity, tackling domains for which ready-made formal models are not available. Here, we survey several important examples of the progress that has been made toward building autonomous agents with human-like abilities, and highlight some outstanding challenges.</jats:p> Building machines that learn and think for themselves Behavioral and Brain Sciences |
| spellingShingle | Botvinick, Matthew, Barrett, David G. T., Battaglia, Peter, de Freitas, Nando, Kumaran, Darshan, Leibo, Joel Z, Lillicrap, Timothy, Modayil, Joseph, Mohamed, Shakir, Rabinowitz, Neil C., Rezende, Danilo J., Santoro, Adam, Schaul, Tom, Summerfield, Christopher, Wayne, Greg, Weber, Theophane, Wierstra, Daan, Legg, Shane, Hassabis, Demis, Behavioral and Brain Sciences, Building machines that learn and think for themselves, Behavioral Neuroscience, Physiology, Neuropsychology and Physiological Psychology |
| title | Building machines that learn and think for themselves |
| title_full | Building machines that learn and think for themselves |
| title_fullStr | Building machines that learn and think for themselves |
| title_full_unstemmed | Building machines that learn and think for themselves |
| title_short | Building machines that learn and think for themselves |
| title_sort | building machines that learn and think for themselves |
| title_unstemmed | Building machines that learn and think for themselves |
| topic | Behavioral Neuroscience, Physiology, Neuropsychology and Physiological Psychology |
| url | http://dx.doi.org/10.1017/s0140525x17000048 |