Habituation, a non-associative learning widely observed across phylogeny, is fundamental for adaptation and, thus, survival of living organisms. This paper investigates the main characteristics of habituation in order to present three new computational models inspired by habituation. We develop these models as part of the Iterant Deformable Sensorimotor Medium (IDSM), a recently developed abstract model of behavior formation. The characteristics of these models are studied and analyzed. Our long-term objective is to research new unsupervised learning mechanisms for artificial learning agents.
BarandiaranX. E.Di PaoloE. A. (2014). A genealogical map of the concept of habit. Frontiers in Human Neuroscience, 8, 522. https://doi.org/10.3389/fnhum.2014.00522
2.
BiS.DiaoQ.ChaiX.HanC. (2017). On a neural network model based on non-associative learning mechanism and its application. In 2017 6th Data Driven Control and Learning Systems (DDCLS) (pp. 679–684). IEEE.
3.
EgbertM. (2018). Investigations of an adaptive and autonomous sensorimotor individual. In ALIFE 2018: The 2018 Conference on Artificial Life (pp. 343-–350). MIT Press.
4.
EgbertM. D.BarandiaranX. E. (2014). Modeling habits as self-sustaining patterns of sensorimotor behavior. Frontiers in Human Neuroscience, 8, 590. https://doi.org/10.3389/fnhum.2014.00590
5.
EisensteinE.EisensteinD.SmithJ. C. (2001). The evolutionary significance of habituation and sensitization across phylogeny: A behavioral homeostasis model. Integrative Physiological & Behavioral Science, 36(4), 251–265. https://doi.org/10.1007/bf02688794
6.
HallG.RodríguezG. (2020). When the stimulus is predicted and what the stimulus predicts: Alternative accounts of habituation. Journal of Experimental Psychology: Animal Learning and Cognition, 46(3), 327–340. https://doi.org/10.1037/xan0000237
7.
HongQ.YanR.WangC.SunJ. (2020). Memristive circuit implementation of biological nonassociative learning mechanism and its applications. IEEE Transactions on Biomedical Circuits and Systems, 14(5), 1036–1050. https://doi.org/10.1109/tbcas.2020.3018777
8.
MarslandS.NehmzowU.ShapiroJ. (2000). Detecting novel features of an environment using habituation. In Proceedings of Simulation of Adaptive Behavior. Citeseer.
MarslandS.NehmzowU.ShapiroJ. (1999). A model of habituation applied to mobile robots. In Proceedings of Towards Intelligent Mobile Robots. Department of Computer Science, Manchester University, Technical Report Series, ISSN 1361-6161, Report UMCS-99-3-1.
11.
McDiarmidT. A.YuA. J.RankinC. H. (2019). Habituation is more than learning to ignore: Multiple mechanisms serve to facilitate shifts in behavioral strategy. BioEssays, 41(9), 1900077. https://doi.org/10.1002/bies.201900077
12.
RandlettO.HaesemeyerM.ForkinG.ShoenhardH.SchierA. F.EngertF.GranatoM. (2019). Distributed plasticity drives visual habituation learning in larval Zebrafish. Current Biology, 29(8), 1337–1345. https://doi.org/10.1016/j.cub.2019.02.039
13.
RankinC. H.AbramsT.BarryR. J.BhatnagarS.ClaytonD. F.ColomboJ.CoppolaG.GeyerM. A.GlanzmanD. L.MarslandS.McSweeneyF. K.WilsonD. A.WuC. F.ThompsonR. F. (2009). Habituation revisited: An updated and revised description of the behavioral characteristics of habituation. Neurobiology of Learning and Memory, 92(2), 135–138. https://doi.org/10.1016/j.nlm.2008.09.012
14.
RankinC. H.BeckC. D.ChibaC. M. (1990). Caenorhabditis elegans: A new model system for the study of learning and memory. Behavioural Brain Research, 37(1), 89–92. https://doi.org/10.1016/0166-4328(90)90074-o
15.
StanleyJ. C. (1976). Computer simulation of a model of habituation. Nature, 261(5556), 146–148. https://doi.org/10.1038/261146a0
ThompsonR. F.SpencerW. A. (1966). Habituation: A model phenomenon for the study of neuronal substrates of behavior. Psychological Review, 73(1), 16–43. https://doi.org/10.1037/h0022681
18.
BoisseauRomain P.VogelDavidDussutourAudrey (2016). Habituation in non-neural organisms: evidence from slime moulds. Proceedings of the Royal Society B: Biological Sciences, 283(1829), 20160446. https://doi.org/10.1098/rspb.2016.2382
19.
VogelE. H.PonceF. P.WagnerA. R. (2019). The development and present status of the sop model of associative learning. Quarterly Journal of Experimental Psychology, 72(2), 346–374. https://doi.org/10.1177/1747021818777074
20.
WagnerA. (1981). Sop: A model of automatic memory processing in animal behavior. In Information processing in animals: Memory mechanisms. Psychology Press.
21.
WangD. (1993). A neural model of synaptic plasticity underlying short-term and long-term habituation. Adaptive Behavior, 2(2), 111–129. https://doi.org/10.1177/105971239300200201
