Institutional Research Information Service
UCL Logo
Please report any queries concerning the funding data grouped in the sections named "Externally Awarded" or "Internally Disbursed" (shown on the profile page) to your Research Finance Administrator. Your can find your Research Finance Administrator at https://www.ucl.ac.uk/finance/research/rs-contacts.php by entering your department
Please report any queries concerning the student data shown on the profile page to:

Email: portico-services@ucl.ac.uk

Help Desk: http://www.ucl.ac.uk/ras/portico/helpdesk
Publication Detail
Optimal indolence: a normative microscopic approach to work and leisure.
  • Publication Type:
    Journal article
  • Publication Sub Type:
    Journal Article
  • Authors:
    Niyogi RK, Breton Y-A, Solomon RB, Conover K, Shizgal P, Dayan P
  • Publication date:
  • Pagination:
    20130969, ?
  • Journal:
    J R Soc Interface
  • Volume:
  • Issue:
  • Status:
    Published online
  • Country:
  • PII:
  • Language:
  • Keywords:
    economics, leisure, microscopic, normative, reinforcement learning, work, Algorithms, Animals, Behavior, Brain, Decision Making, Humans, Learning, Leisure Activities, Markov Chains, Models, Theoretical, Probability, Reinforcement (Psychology), Reward, Stochastic Processes, Time Factors
Dividing limited time between work and leisure when both have their attractions is a common everyday decision. We provide a normative control-theoretic treatment of this decision that bridges economic and psychological accounts. We show how our framework applies to free-operant behavioural experiments in which subjects are required to work (depressing a lever) for sufficient total time (called the price) to receive a reward. When the microscopic benefit-of-leisure increases nonlinearly with duration, the model generates behaviour that qualitatively matches various microfeatures of subjects' choices, including the distribution of leisure bout durations as a function of the pay-off. We relate our model to traditional accounts by deriving macroscopic, molar, quantities from microscopic choices.
Publication data is maintained in RPS. Visit https://rps.ucl.ac.uk
 More search options
There are no UCL People associated with this publication
University College London - Gower Street - London - WC1E 6BT Tel:+44 (0)20 7679 2000

© UCL 1999–2011

Search by