scholarly journals Internal states drive nutrient homeostasis by modulating exploration-exploitation trade-off

2016 ◽  
Author(s):  
Veronica Maria Corrales-Carvajal ◽  
Aldo A Faisal ◽  
Carlos Ribeiro
Keyword(s):  
Video Tracking ◽  
Nutrient Sensing ◽  
Trade Off ◽  
Specific Effects ◽  
Internal States ◽  
Exploitation And Exploration ◽  
Exploration Exploitation ◽  
Nutrient Homeostasis ◽  
Nutrient Selection ◽  
Automated Video Tracking

Internal states can deeply alter the behavior of animals. Which aspects of behavior change upon metabolic challenges and how these allow the animal to achieve nutrient homeostasis is poorly understood. We used an automated video tracking setup to characterize how amino acid and reproductive states interact to shape exploitation and exploration decisions taken by adult Drosophila melanogaster, to achieve nutritional homeostasis. We find that these two states have specific effects on the decisions to engage and leave proteinaceous food patches. Furthermore, the internal nutrient state defines the exploration-exploitation trade-off: nutrient deprived flies focus on specific patches while satiated flies explore more globally. Finally, we show that olfaction mediates the efficient recognition of yeast as an appropriate protein source and that octopamine is specifically required to mediate homeostatic postmating responses without affecting internal nutrient sensing. Internal states therefore modulate specific aspects of exploitation and exploration to change nutrient selection.

scholarly journals Internal states drive nutrient homeostasis by modulating exploration-exploitation trade-off

eLife ◽  
2016 ◽  
Vol 5 ◽  
Author(s):  
Verónica María Corrales-Carvajal ◽  
Aldo A Faisal ◽  
Carlos Ribeiro
Keyword(s):  
Video Tracking ◽  
Nutrient Sensing ◽  
Trade Off ◽  
Specific Effects ◽  
Internal States ◽  
Quantitative Understanding ◽  
Exploitation And Exploration ◽  
Exploration Exploitation ◽  
Nutrient Homeostasis ◽  
Nutrient Selection

Internal states can profoundly alter the behavior of animals. A quantitative understanding of the behavioral changes upon metabolic challenges is key to a mechanistic dissection of how animals maintain nutritional homeostasis. We used an automated video tracking setup to characterize how amino acid and reproductive states interact to shape exploitation and exploration decisions taken by adult Drosophila melanogaster. We find that these two states have specific effects on the decisions to stop at and leave proteinaceous food patches. Furthermore, the internal nutrient state defines the exploration-exploitation trade-off: nutrient-deprived flies focus on specific patches while satiated flies explore more globally. Finally, we show that olfaction mediates the efficient recognition of yeast as an appropriate protein source in mated females and that octopamine is specifically required to mediate homeostatic postmating responses without affecting internal nutrient sensing. Internal states therefore modulate specific aspects of exploitation and exploration to change nutrient selection.

scholarly journals Transcriptomic analyses of the termite, Cryptotermes secundus, reveal a gene network underlying a long lifespan and high fecundity

2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Silu Lin ◽  
Jana Werle ◽  
Judith Korb
Keyword(s):  
Life History ◽  
Social Insects ◽  
Social Communication ◽  
Gene Network ◽  
Social Insect ◽  
Nutrient Sensing ◽  
Model Organisms ◽  
Termite Species ◽  
High Fecundity ◽  
Trade Off

AbstractOrganisms are typically characterized by a trade-off between fecundity and longevity. Notable exceptions are social insects. In insect colonies, the reproducing caste (queens) outlive their non-reproducing nestmate workers by orders of magnitude and realize fecundities and lifespans unparalleled among insects. How this is achieved is not understood. Here, we identified a single module of co-expressed genes that characterized queens in the termite species Cryptotermes secundus. It encompassed genes from all essential pathways known to be involved in life-history regulation in solitary model organisms. By manipulating its endocrine component, we tested the recent hypothesis that re-wiring along the nutrient-sensing/endocrine/fecundity axis can account for the reversal of the fecundity/longevity trade-off in social insect queens. Our data from termites do not support this hypothesis. However, they revealed striking links to social communication that offer new avenues to understand the re-modelling of the fecundity/longevity trade-off in social insects.

scholarly journals Randomised Gaussian Process Upper Confidence Bound for Bayesian Optimisation

2020 ◽  
Author(s):  
Julian Berk ◽  
Sunil Gupta ◽  
Santu Rana ◽  
Svetha Venkatesh
Keyword(s):  
Gaussian Process ◽  
Real World ◽  
Confidence Bound ◽  
Trade Off ◽  
Upper Confidence Bound ◽  
Exploration Exploitation

In order to improve the performance of Bayesian optimisation, we develop a modified Gaussian process upper confidence bound (GP-UCB) acquisition function. This is done by sampling the exploration-exploitation trade-off parameter from a distribution. We prove that this allows the expected trade-off parameter to be altered to better suit the problem without compromising a bound on the function's Bayesian regret. We also provide results showing that our method achieves better performance than GP-UCB in a range of real-world and synthetic problems.

scholarly journals Joint Venture Breakup and the Exploration-Exploitation Trade-off

2009 ◽  
Author(s):  
Antoine Soubeyran ◽  
Raphael Soubeyran ◽  
Ngo Van Long
Keyword(s):  
Joint Venture ◽  
Trade Off ◽  
Exploration Exploitation

scholarly journals Exploration–exploitation trade-off features a saltatory search behaviour

2013 ◽  
Vol 10 (85) ◽  
pp. 20130352 ◽  
Author(s):  
Dimitri Volchenkov ◽  
Jonathan Helbach ◽  
Marko Tscherepanow ◽  
Sina Kühnel
Keyword(s):  
Statistical Model ◽  
Virtual Environments ◽  
Coherent Noise ◽  
Search Behaviour ◽  
Trade Off ◽  
Scale Free ◽  
Noise Type ◽  
Saltatory Search ◽  
Spatio Temporal ◽  
Exploration Exploitation

Searching experiments conducted in different virtual environments over a gender-balanced group of people revealed a gender irrelevant scale-free spread of searching activity on large spatio-temporal scales. We have suggested and solved analytically a simple statistical model of the coherent-noise type describing the exploration–exploitation trade-off in humans (‘should I stay’ or ‘should I go’). The model exhibits a variety of saltatory behaviours, ranging from Lévy flights occurring under uncertainty to Brownian walks performed by a treasure hunter confident of the eventual success.

scholarly journals Individual exploration and selective social learning: Balancing exploration-exploitation trade-offs in collective foraging

2021 ◽  
Author(s):  
Ketika Garg ◽  
Christopher T. Kello ◽  
Paul E Smaldino
Keyword(s):  
Social Learning ◽  
Social Information ◽  
Social Cues ◽  
Optimal Combination ◽  
Trade Off ◽  
Trade Offs ◽  
Lévy Walks ◽  
Power Law Exponent ◽  
Collective Foraging ◽  
Exploration Exploitation

Search requires balancing exploring for more options and exploiting the ones previously found. Individuals foraging in a group face another trade-off: whether to engage in social learning to exploit the solutions found by others or to solitarily search for unexplored solutions. Social learning can decrease the costs of finding new resources, but excessive social learning can decrease the exploration for new solutions. We study how these two trade-offs interact to influence search efficiency in a model of collective foraging under conditions of varying resource abundance, resource density, and group size. We modeled individual search strategies as Lévy walks, where a power-law exponent (μ) controlled the trade-off between exploitative and explorative movements in individual search. We modulated the trade-off between individual search and social learning using a selectivity parameter that determined how agents responded to social cues in terms of distance and likely opportunity costs. Our results show that social learning is favored in rich and clustered environments, but also that the benefits of exploiting social information are maximized by engaging in high levels of individual exploration. We show that selective use of social information can modulate the disadvantages of excessive social learning, especially in larger groups and with limited individual exploration. Finally, we found that the optimal combination of individual exploration and social learning gave rise to trajectories with μ ≈ 2 and provide support for the general optimality such patterns in search. Our work sheds light on the interplay between individual search and social learning, and has broader implications for collective search and problem-solving.

Sign in / Sign up

Export Citation Format

Share Document