%0 Journal Article %1 BBS:8918881 %A Gowaty, Patricia Adair %A Hubbell, Stephen P. %D 2013 %J Behavioral and Brain Sciences %K cognition cognitive neuroscience predictivecoding %N 03 %P 215--216 %R 10.1017/S0140525X12002385 %T Bayesian animals sense ecological constraints to predict fitness and organize individually flexible reproductive decisions %U http://journals.cambridge.org/article_S0140525X12002385 %V 36 %X ABSTRACT A quantitative theory of reproductive decisions (Gowaty & Hubbell 2009) says that individuals use updated priors from constantly changing demographic circumstances to predict their futures to adjust actions flexibly and adaptively. Our ecological/evolutionary models of ultimate causes seem consistent with Clark's ideas and thus suggest an opportunity for a unified proximate and ultimate theory of Bayesian animal brains, senses, and actions.

@article{BBS:8918881, abstract = { ABSTRACT A quantitative theory of reproductive decisions (Gowaty & Hubbell 2009) says that individuals use updated priors from constantly changing demographic circumstances to predict their futures to adjust actions flexibly and adaptively. Our ecological/evolutionary models of ultimate causes seem consistent with Clark's ideas and thus suggest an opportunity for a unified proximate and ultimate theory of Bayesian animal brains, senses, and actions. }, added-at = {2013-06-14T13:03:44.000+0200}, author = {Gowaty, Patricia Adair and Hubbell, Stephen P.}, biburl = {https://www.bibsonomy.org/bibtex/2cacb23f5dd68231600fcf5abf032e0f9/yish}, doi = {10.1017/S0140525X12002385}, interhash = {62791cee28ec6c64e02a920db8cc541f}, intrahash = {cacb23f5dd68231600fcf5abf032e0f9}, issn = {1469-1825}, journal = {Behavioral and Brain Sciences}, keywords = {cognition cognitive neuroscience predictivecoding}, month = {5}, number = 03, numpages = {2}, pages = {215--216}, timestamp = {2013-06-14T13:05:30.000+0200}, title = {Bayesian animals sense ecological constraints to predict fitness and organize individually flexible reproductive decisions}, url = {http://journals.cambridge.org/article_S0140525X12002385}, volume = 36, year = 2013 }