000169667 001__ 169667
000169667 005__ 20190416055805.0
000169667 0247_ $$2doi$$a10.1086/664079
000169667 02470 $$2ISI$$a000300454400009
000169667 037__ $$aARTICLE
000169667 245__ $$aNeural networks as mechanisms to regulate division of labor
000169667 269__ $$a2012
000169667 260__ $$c2012
000169667 336__ $$aJournal Articles
000169667 520__ $$aIn social insects, workers perform a multitude of tasks such as foraging, nest construction and brood rearing without central control of how work is allocated among individuals. It has been suggested that workers choose a task by responding to stimuli gathered from the environment. Response threshold models assume that individuals in a colony vary in the stimulus intensity (response threshold) at which they begin to perform the corresponding task. Here we highlight the limitations of these models with respect to colony performance in task allocation. First, we show with analysis and quantitative simulations that the deterministic response threshold model constrains the workers' behavioral flexibility under some stimulus conditions. Next, we show that the probabilistic response threshold model fails to explain a precise colony response to varying stimuli. Both of these limitations are detrimental to colony performance when dynamic and precise task allocation is needed. To address these problems we propose extensions of the response threshold models by adding variables that weigh stimuli. We test the extended response threshold model in a foraging scenario and show in simulations that it results in an efficient task allocation. Finally, we show that response threshold models can be formulated as artificial neural networks, which consequently provide a comprehensive framework for modeling task allocation in social insects.
000169667 6531_ $$aTask Allocation
000169667 6531_ $$aSocial Insects
000169667 6531_ $$aDivision of Labor
000169667 6531_ $$aResponse Thresholds
000169667 6531_ $$aNeural Networks
000169667 6531_ $$aEvolutionary Robotics
000169667 700__ $$0243230$$g191506$$aLichocki, Pawel
000169667 700__ $$aTarapore, Danesh
000169667 700__ $$aKeller, Laurent
000169667 700__ $$aFloreano, Dario$$0240742$$g111729
000169667 773__ $$j179$$tThe American Naturalist$$k3$$q391-400
000169667 8564_ $$uhttps://infoscience.epfl.ch/record/169667/files/Am.Nat.12.Lichocki.pdf$$zPublisher's version$$s607736$$yPublisher's version
000169667 909C0 $$xU10370$$0252161$$pLIS
000169667 909CO $$ooai:infoscience.tind.io:169667$$qGLOBAL_SET$$pSTI$$particle
000169667 917Z8 $$x191506
000169667 917Z8 $$x191506
000169667 917Z8 $$x183247
000169667 917Z8 $$x191506
000169667 917Z8 $$x255330
000169667 937__ $$aEPFL-ARTICLE-169667
000169667 973__ $$rREVIEWED$$sPUBLISHED$$aEPFL
000169667 980__ $$aARTICLE