Open Peer Commentary
Learning and incremental dynamic programming
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- 19 May 2011, pp. 94-95
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Gaps in the optimization approach to behavior
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- 19 May 2011, pp. 95-96
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Dynamic programming, limited information and behavioral modeling
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- 19 May 2011, pp. 96-97
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Rules of choice
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- 19 May 2011, pp. 97-98
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Can dynamic optimization cope with ecological complexity
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- 19 May 2011, pp. 98-99
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Dynamic models, fitness functions and food storing
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- 19 May 2011, p. 99
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The next state of the art
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- 19 May 2011, p. 100
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Modeling adaptation in the next generation: A developmental perspective
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- 19 May 2011, pp. 100-101
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Limits to stochastic dynamic programming
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- 19 May 2011, p. 101
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Models are just prostheses for our brains
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- 19 May 2011, p. 101
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Let evolution take care of its own
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- 19 May 2011, pp. 101-102
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The “crooked bookie” cycle
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- 19 May 2011, p. 103
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State variable models are powerful, not perfect
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- 19 May 2011, p. 104
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Rule of thumb
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- 19 May 2011, pp. 104-105
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Short-term behavior and long-term consequences
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- 19 May 2011, pp. 105-106
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A not so backward way of thinking
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- 19 May 2011, p. 106
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Pitfalls and promises of behavioral modeling
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- 19 May 2011, pp. 106-107
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Variational principles, behavioural adaptations and selection hierarchies
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- 19 May 2011, pp. 107-108
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Modeling change in biology and psychology
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- 19 May 2011, p. 108
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Using models of behavior in optimal fashion
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- 19 May 2011, pp. 108-109
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