Some Work and Some Play: Microscopic and Macroscopic Approaches to Labor and Leisure
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[1] Sally McClean. STATISTICAL ANALYSIS OF BEHAVIOURAL DATA — AN APPROACH BASED ON TIME-STRUCTURED MODELS. Patsy Haccou and Evert Meelis, Oxford University Press, 1994. No. of pages: xvii+396. Price: £21.50. ISBN: 0-19-854850-8 , 1997 .
[2] N. Daw,et al. Serotonin and Dopamine: Unifying Affective, Activational, and Decision Functions , 2011, Neuropsychopharmacology.
[3] K. Arrow,et al. Capital-labor substitution and economic efficiency , 1961 .
[4] W M Baum,et al. Choice as time allocation. , 1969, Journal of the experimental analysis of behavior.
[5] E. Charnov. Optimal foraging, the marginal value theorem. , 1976, Theoretical population biology.
[6] P. Shizgal,et al. Role of Dopamine Tone in the Pursuit of Brain Stimulation Reward , 2012, The Journal of Neuroscience.
[7] J. J. McDowell,et al. Falsification of matching theory's account of single-alternative responding: Herrnstein's k varies with sucrose concentration. , 2000, Journal of the experimental analysis of behavior.
[8] P. Shizgal,et al. Rattus Psychologicus: Construction of preferences by self-stimulating rats , 2009, Behavioural Brain Research.
[9] Joseph T. McGuire,et al. Effort discounting in human nucleus accumbens , 2009, Cognitive, affective & behavioral neuroscience.
[10] David S. Touretzky,et al. Long-Term Reward Prediction in TD Models of the Dopamine System , 2002, Neural Computation.
[11] Peter Dayan,et al. Some work and some play: a normative, microscopic approach to allocating time between work and leisure , 2013 .
[12] M. Botvinick,et al. A labor/leisure tradeoff in cognitive control. , 2014, Journal of experimental psychology. General.
[13] W M Baum,et al. Optimization and the matching law as accounts of instrumental behavior. , 1981, Journal of the experimental analysis of behavior.
[14] P. Shizgal,et al. At What Stage of Neural Processing Does Cocaine Act to Boost Pursuit of Rewards? , 2010, PloS one.
[15] P. Shizgal,et al. The reinforcement mountain: allocation of behavior as a function of the rate and intensity of rewarding brain stimulation. , 2008, Behavioral neuroscience.
[16] R J HERRNSTEIN,et al. Relative and absolute strength of response as a function of frequency of reinforcement. , 1961, Journal of the experimental analysis of behavior.
[17] P. Dayan. Instrumental vigour in punishment and reward , 2012, The European journal of neuroscience.
[18] J. J. McDowell. On the falsifiability of matching theory. , 1986, Journal of the experimental analysis of behavior.
[19] P. Dayan,et al. Effort and Valuation in the Brain: The Effects of Anticipation and Execution , 2013, The Journal of Neuroscience.
[20] A. Kacelnik,et al. Cost can increase preference in starlings , 2002, Animal Behaviour.
[21] D. McFadden. Econometric analysis of qualitative response models , 1984 .
[22] P Killeen,et al. The matching law. , 1972, Journal of the experimental analysis of behavior.
[23] W M Baum,et al. On two types of deviation from the matching law: bias and undermatching. , 1974, Journal of the experimental analysis of behavior.
[24] Yannick-André Breton. Molar and Molecular Models of Performance for Rewarding Brain Stimulation , 2013 .
[25] R. Blundell,et al. Labor Supply: A Review of Alternative Approaches , 1998 .
[26] Peter Dayan,et al. Optimal indolence: a normative microscopic approach to work and leisure , 2014, Journal of The Royal Society Interface.
[27] Andrew Caplin,et al. Axiomatic Methods, Dopamine and Reward Prediction Error This Review Comes from a Themed Issue on Cognitive Neuroscience Edited Advantages of the Axiomatic Approach , 2022 .
[28] R. C. Merton,et al. AN INTERTEMPORAL CAPITAL ASSET PRICING MODEL , 1973 .
[29] J. Daunizeau,et al. Neurocomputational account of how the human brain decides when to have a break , 2013, Proceedings of the National Academy of Sciences.
[30] J. Salamone,et al. Motivational views of reinforcement: implications for understanding the behavioral functions of nucleus accumbens dopamine , 2002, Behavioural Brain Research.
[31] R. Frank. Microeconomics and behavior , 1991 .
[32] Richard S. Sutton,et al. Reinforcement Learning: An Introduction , 1998, IEEE Trans. Neural Networks.
[33] P. Dayan,et al. Tonic dopamine: opportunity costs and the control of response vigor , 2007, Psychopharmacology.
[34] Zhiyang Jia,et al. Theoretical and Practical Arguments for Modeling Labor Supply as a Choice Among Latent Jobs , 2012, SSRN Electronic Journal.
[35] Peter Shizgal,et al. Employing labor-supply theory to measure the reward value of electrical brain stimulation , 2005, Games Econ. Behav..
[36] R J Herrnstein,et al. Formal properties of the matching law. , 1974, Journal of the experimental analysis of behavior.
[37] P. Shizgal,et al. Cannabinoid Receptor Blockade Reduces the Opportunity Cost at Which Rats Maintain Operant Performance for Rewarding Brain Stimulation , 2011, The Journal of Neuroscience.
[38] P. Glimcher,et al. Testing the Reward Prediction Error Hypothesis with an Axiomatic Model , 2010, The Journal of Neuroscience.
[39] J J McDowell,et al. On the classic and modern theories of matching. , 2005, Journal of the experimental analysis of behavior.
[40] P. Glimcher,et al. Phasic Dopamine Release in the Rat Nucleus Accumbens Symmetrically Encodes a Reward Prediction Error Term , 2014, The Journal of Neuroscience.
[41] Martin L. Puterman,et al. Markov Decision Processes: Discrete Stochastic Dynamic Programming , 1994 .
[42] Rajesh P. N. Rao. Reinforcement Learning: An Introduction; R.S. Sutton, A.G. Barto (Eds.); MIT Press, Cambridge, MA, 1998, 380 pages, ISBN 0-262-19398-1, $42.00 , 2000 .
[43] Patsy Haccou,et al. Statistical Analysis of Behavioural Data: An Approach Based on Time-structured Models , 1992 .
[44] T. Zentall,et al. “work ethic” in pigeons: Reward value is directly related to the effort or time required to obtain the reward , 2000, Psychonomic bulletin & review.
[45] Emanuel Todorov,et al. Efficient computation of optimal actions , 2009, Proceedings of the National Academy of Sciences.