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Journal articles on the topic 'Adaptive behaviour'

Author: Grafiati

Published: 4 June 2021

Last updated: 20 February 2023

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1

Giaquinta, Simonetta, Marta Tremolada, Bartolomeo Rossi, Alessandra Biffi, and Elisabetta Viscardi. "QOL-33. Adaptive behaviour of patients treated for malignant brain tumor in the first three years of life." Neuro-Oncology 24, Supplement_1 (June 1, 2022): i141. http://dx.doi.org/10.1093/neuonc/noac079.516.

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Abstract BACKGROUND: Adaptive behavior is defined as the effectiveness and degree to which an individual meets social/cultural standards of personal independence and social responsibility. Patients treated for brain tumor are at risk of alteration of adaptive behaviour that, with a reduced intellectual function, makes diagnosis of mental retard. OBJECTIVE: The aim of this study was to evaluate the adaptive behaviour of patients treated for malignant brain tumor in the first three years of life and the variables that may correlate with its alteration. PATIENTS AND METHODS: Twelve survivors of brain tumor diagnosed in the first three years of life followed in the Pediatric Hematology and Oncology Department of Padua between January 2000 and December 2020 were enrolled in this study. We defined the level of the adaptive behaviour by evaluation adaptive behavior questionnaire (ABAS II) completed by the parents. RESULTS: None of the patients shows a high level of adaptive behavior. Preliminary evidences suggest that, the level of adaptive behavior may be influenced by the sex, irradiation and time from the end of treatment. In details, females show a higher level of performance than males, patients not treated with radiotherapy performed better than patients irradiated and longer-term survivors have a better level of adaptive behaviour. CONCLUSIONS: This study confirms that patients treated for brain tumor show a lower level of adaptive behaviour than peers. The future objective is to assess adaptive behaviour at many times to recognize the problem early.

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2

Ranta, Esa. "Models of Adaptive Behaviour." Ethology 107, no. 7 (July 24, 2001): 668–69. http://dx.doi.org/10.1046/j.1439-0310.2001.0686d.x.

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3

Chiel, Hillel J., and Randall D. Beer. "Simulation of adaptive behaviour." Current Biology 2, no. 1 (January 1992): 52. http://dx.doi.org/10.1016/0960-9822(92)90445-g.

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4

Zucca, Aya, Stefano Zucca, and Jeff Wickens. "Cholinergic mechanisms in adaptive behaviour." European Journal of Neuroscience 47, no. 10 (May 2018): 1146–47. http://dx.doi.org/10.1111/ejn.13926.

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5

Jordan, Lyndon A., and Michael J. Ryan. "The sensory ecology of adaptive landscapes." Biology Letters 11, no. 5 (May 2015): 20141054. http://dx.doi.org/10.1098/rsbl.2014.1054.

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In complex environments, behavioural plasticity depends on the ability of an animal to integrate numerous sensory stimuli. The multidimensionality of factors interacting to shape plastic behaviour means it is difficult for both organisms and researchers to predict what constitutes an adaptive response to a given set of conditions. Although researchers may be able to map the fitness pay-offs of different behavioural strategies in changing environments, there is no guarantee that the study species will be able to perceive these pay-offs. We thus risk a disconnect between our own predictions about adaptive behaviour and what is behaviourally achievable given the umwelt of the animal being studied. This may lead to erroneous conclusions about maladaptive behaviour in circumstances when the behaviour exhibited is the most adaptive possible given sensory limitations. With advances in the computational resources available to behavioural ecologists, we can now measure vast numbers of interactions among behaviours and environments to create adaptive behavioural surfaces. These surfaces have massive heuristic, predictive and analytical potential in understanding adaptive animal behaviour, but researchers using them are destined to fail if they ignore the sensory ecology of the species they study. Here, we advocate the continued use of these approaches while directly linking them to perceptual space to ensure that the topology of the generated adaptive landscape matches the perceptual reality of the animal it intends to study. Doing so will allow predictive models of animal behaviour to reflect the reality faced by the agents on adaptive surfaces, vastly improving our ability to determine what constitutes an adaptive response for the animal in question.

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Silva, Fernando, Paulo Urbano, and Anders Lyhne Christensen. "Online Evolution of Adaptive Robot Behaviour." International Journal of Natural Computing Research 4, no. 2 (April 2014): 59–77. http://dx.doi.org/10.4018/ijncr.2014040104.

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The authors propose and evaluate a novel approach to the online synthesis of neural controllers for autonomous robots. The authors combine online evolution of weights and network topology with neuromodulated learning. The authors demonstrate our method through a series of simulation-based experiments in which an e-puck-like robot must perform a dynamic concurrent foraging task. In this task, scattered food items periodically change their nutritive value or become poisonous. The authors demonstrate that the online evolutionary process, both with and without neuromodulation, is capable of generating controllers well adapted to the periodic task changes. The authors show that when neuromodulated learning is combined with evolution, neural controllers are synthesised faster than by evolution alone. An analysis of the evolved solutions reveals that neuromodulation allows for a more effective expression of a given topology's potential due to the active modification of internal dynamics. Neuromodulated networks learn abstractions of the task and different modes of operation that are triggered by external stimulus.

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Hey, John D., and John G. Cross. "A Theory of Adaptive Economic Behaviour." Economica 52, no. 205 (February 1985): 127. http://dx.doi.org/10.2307/2553999.

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8

Stanton, Neville A., and Mark S. Young. "Driver behaviour with adaptive cruise control." Ergonomics 48, no. 10 (August 15, 2005): 1294–313. http://dx.doi.org/10.1080/00140130500252990.

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9

McAllister, Murdoch K., and Bernard D. Roitberg. "Adaptive suicidal behaviour in pea aphids." Nature 328, no. 6133 (August 1987): 797–99. http://dx.doi.org/10.1038/328797b0.

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10

Weinman, Bill. "ADAPTIVE BEHAVIOUR OF REYE'S SYNDROME SURVIVORS." Journal of Intellectual Disability Research 28, no. 4 (June 28, 2008): 297–301. http://dx.doi.org/10.1111/j.1365-2788.1984.tb01023.x.

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11

ROBERTS, A. "Primate orbitofrontal cortex and adaptive behaviour." Trends in Cognitive Sciences 10, no. 2 (February 2006): 83–90. http://dx.doi.org/10.1016/j.tics.2005.12.002.

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12

Xiang, Tao, and Shaogang Gong. "Incremental and adaptive abnormal behaviour detection." Computer Vision and Image Understanding 111, no. 1 (July 2008): 59–73. http://dx.doi.org/10.1016/j.cviu.2007.06.004.

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13

Boakes, R. A. "Book Review: Adaptive Behaviour and Learning." Quarterly Journal of Experimental Psychology Section B 37, no. 3b (August 1985): 275–76. http://dx.doi.org/10.1080/14640748508402100.

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14

Jones, Robert S. P. "Stereotypy: Challenging Behaviour or Adaptive Response." Scandinavian Journal of Behaviour Therapy 20, no. 1-2 (January 1991): 25–40. http://dx.doi.org/10.1080/16506079109455875.

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15

Dickinson, M. J., S. Lekh, I. Singh, and A. Langa. "Adaptive behaviour scale in Down's syndrome." British Journal of Psychiatry 162, no. 3 (March 1993): 423–24. http://dx.doi.org/10.1192/bjp.162.3.423.

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16

Bourke, Andrew. "Adaptive significance of avian helping behaviour." Trends in Ecology & Evolution 7, no. 3 (March 1992): 102. http://dx.doi.org/10.1016/0169-5347(92)90254-9.

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17

Hill, J., E. E. Popova, D. A. Ham, M. D. Piggott, and M. Srokosz. "Adapting to life: ocean biogeochemical modelling and adaptive remeshing." Ocean Science 10, no. 3 (May 9, 2014): 323–43. http://dx.doi.org/10.5194/os-10-323-2014.

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Abstract. An outstanding problem in biogeochemical modelling of the ocean is that many of the key processes occur intermittently at small scales, such as the sub-mesoscale, that are not well represented in global ocean models. This is partly due to their failure to resolve sub-mesoscale phenomena, which play a significant role in vertical nutrient supply. Simply increasing the resolution of the models may be an inefficient computational solution to this problem. An approach based on recent advances in adaptive mesh computational techniques may offer an alternative. Here the first steps in such an approach are described, using the example of a simple vertical column (quasi-1-D) ocean biogeochemical model. We present a novel method of simulating ocean biogeochemical behaviour on a vertically adaptive computational mesh, where the mesh changes in response to the biogeochemical and physical state of the system throughout the simulation. We show that the model reproduces the general physical and biological behaviour at three ocean stations (India, Papa and Bermuda) as compared to a high-resolution fixed mesh simulation and to observations. The use of an adaptive mesh does not increase the computational error, but reduces the number of mesh elements by a factor of 2–3. Unlike previous work the adaptivity metric used is flexible and we show that capturing the physical behaviour of the model is paramount to achieving a reasonable solution. Adding biological quantities to the adaptivity metric further refines the solution. We then show the potential of this method in two case studies where we change the adaptivity metric used to determine the varying mesh sizes in order to capture the dynamics of chlorophyll at Bermuda and sinking detritus at Papa. We therefore demonstrate that adaptive meshes may provide a suitable numerical technique for simulating seasonal or transient biogeochemical behaviour at high vertical resolution whilst minimising the number of elements in the mesh. More work is required to move this to fully 3-D simulations.

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18

Ćalasan, Slađana, and Bojana Drljan. "Adaptive behaviour in children with developmental disorders." Bastina, no. 56 (2022): 495–511. http://dx.doi.org/10.5937/bastina32-36083.

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Adaptive behaviour is defined as a set of conceptual, social and practical skills that are learned and used in everyday life. Assessment of adaptive behaviour is an indispensable part in the identification and classification of intellectual disabilities, but also an important indicator of the development of children with other developmental disorders and children of typical development. The sample was divided into three groups: children with specific language impairment (SLI), children with mild intellectual disability (MID) and children with typical development (TD). The Adaptive Behaviour Diagnostic Scale (ABDS; Pearson, Patton, Mruzek 2016) was used to assess adaptive skills. The objectives of the study were to compare the levels of mastery of adaptive skills in children with SLI, MID and TD children, as well as to examine the impact of each of the individual domains (conceptual, social and practical) on the overall score of adaptive behaviour. The research results showed that children with SLI and MID have significantly poorer achievements compared to TD children. However, although children with SLI have poor performance, the results showed that adaptive skills of these children are significantly better compared to children with MID. Regresion analysis showed that conceptual skills are the best predictor of adaptive behaviour in TD children, while social skills are the best predictor of adaptive behaviour in both children with SLI and children with MID.

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19

Sandford, Donald A., and Rob H. Elzinga. "Dimensions of Adaptive Behaviour of Young Adults with Behaviour Disorders." Australia and New Zealand Journal of Developmental Disabilities 13, no. 4 (January 1987): 195–99. http://dx.doi.org/10.3109/13668258709049922.

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20

Song, Zhiyuan, and Marcus W. Feldman. "Adaptive foraging behaviour of individual pollinators and the coexistence of co-flowering plants." Proceedings of the Royal Society B: Biological Sciences 281, no. 1776 (February 7, 2014): 20132437. http://dx.doi.org/10.1098/rspb.2013.2437.

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Although pollinators can play a central role in determining the structure and stability of plant communities, little is known about how their adaptive foraging behaviours at the individual level, e.g. flower constancy, structure these interactions. Here, we construct a mathematical model that integrates individual adaptive foraging behaviour and population dynamics of a community consisting of two plant species and a pollinator species. We find that adaptive foraging at the individual level, as a complementary mechanism to adaptive foraging at the species level, can further enhance the coexistence of plant species through niche partitioning between conspecific pollinators. The stabilizing effect is stronger than that of unbiased generalists when there is also strong competition between plant species over other resources, but less so than that of multiple specialist species. This suggests that adaptive foraging in mutualistic interactions can have a very different impact on the plant community structure from that in predator–prey interactions. In addition, the adaptive behaviour of individual pollinators may cause a sharp regime shift for invading plant species. These results indicate the importance of integrating individual adaptive behaviour and population dynamics for the conservation of native plant communities.

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Mano, Hiroshi, Sayaka Fujiwara, and Nobuhiko Haga. "Adaptive behaviour and motor skills in children with upper limb deficiency." Prosthetics and Orthotics International 42, no. 2 (July 18, 2017): 236–40. http://dx.doi.org/10.1177/0309364617718411.

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Background: The dysfunction of individuals with upper limb deficiencies affects their daily lives and social participation. Objectives: To clarify the adaptive behaviours and motor skills of children with upper limb deficiencies. Study design: Cross-sectional survey. Methods: The subjects were 10 children ranging from 1 to 6 years of age with unilateral upper limb deficiencies at the level distal to the elbow who were using only cosmetic or passive prostheses or none at all. To measure their adaptive behaviour and motor skills, the Vineland Adaptive Behavior Scales, Second Edition was used. They were evaluated on the domains of communication, daily living skills, socialization and motor skills. We also examined the relationship of the scores with age. Results: There were no statistically significant scores for domains or subdomains. The domain standard score of motor skills was significantly lower than the median scores of the domains and was negatively correlated with age. Conclusion: Children with upper limb deficiencies have individual weaknesses in motor skill behaviours, and these weaknesses increase with age. It may be helpful in considering approaches to rehabilitation and the prescription of prostheses to consider the characteristics and course of children’s motor skill behaviours. Clinical relevance Even if children with unilateral upper limb deficiencies seem to compensate well for their affected limb function, they have or will experience individual weaknesses in motor skills. We should take this into consideration to develop better strategies for rehabilitation and prostheses prescriptions.

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22

Dressler, Anastasia, Valetina Perelli, Margherita Bozza, Stefania Bargagna, Franz Benninger, Anna Kosheleva, and Eva Schernhammer. "The Surplus Effect in Adaptive Behaviour in Down Syndrome: What Can Promote It?" Brain Sciences 11, no. 9 (September 10, 2021): 1188. http://dx.doi.org/10.3390/brainsci11091188.

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Background: In Down syndrome (DS), adaptive behaviour often shows a “surplus effect” (i.e., higher adaptive abilities than expected from cognitive skills). As inclusive schooling has become mandatory in Italy, we studied the impact of school inclusion on the surplus effect of adaptive behaviour in adult DS, considering potential confounding factors such as parental education. Methods: All consecutive DS individuals from three different sites were queried prospectively regarding type of schooling (inclusive and non-inclusive). Demographic data were documented; cognitive abilities and adaptive behaviour were assessed (Coloured Progressive Matrices and Vineland Adaptive Behaviour Scales). The aim was to establish the presence of a surplus effect in adaptive behaviour, primarily in the overall level and secondarily in the main domains and subdomains. A multivariable-adjusted logistic regression model was used for the association of schooling, and parental education. Results: The majority (65%) showed a surplus effect in adaptive behaviour and had attended inclusive schools (85%). Higher adaptive skills as well as early and longer functional treatment programmes were more readily available for younger individuals. In the group of inclusive schooling, the surplus effect on overall adaptive behaviour was present in 70% as opposed to 38% in the group without inclusive schooling, significant when adjusted for gender and maternal education. This was also observed in socialisation, written, and community, and after adjustment in playing and leisure time. Conclusions: Adaptive behaviour showed a surplus effect in the majority of DS adults, even more so after inclusive schooling. Younger adults showed higher adaptive skills. Moreover, female gender and higher maternal educational level significantly enhanced this surplus effect.

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23

Roscoe, Kathryn, Hannah Merdian, Mark Gresswell, and Kevin Baker. "Defining and measuring adaptive behaviour in deaf adults." Clinical Psychology Forum 1, no. 328 (April 2020): 14–21. http://dx.doi.org/10.53841/bpscpf.2020.1.328.14.

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Assessing adaptive behaviour for deaf people is particularly complicated due to confounding cultural, linguistic, and methodological issues. A thematic analysis of expert comments yielded a potential new working definition of adaptive behaviour and initial guidelines for assessing adaptive behaviour accordingly.

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24

Gaspar, Rui, José Manuel Palma-Oliveira, and Victor Corral-Verdugo. "Dynamic mental representations of habitual behaviours: Food choice on a web-based environment." Psychology, Community & Health 5, no. 2 (August 8, 2016): 115–33. http://dx.doi.org/10.5964/pch.v5i2.171.

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AimRather than being rigid, habitual behaviours may be determined by dynamic mental representations that can adapt to context changes. This adaptive potential may result from particular conditions dependent on the interaction between two sources of mental constructs activation: perceived context applicability and cognitive accessibility.MethodTwo web-shopping simulations offering the choice between habitually chosen and non-habitually chosen food products were presented to participants. This considered two choice contexts differing in the habitual behaviour perceived applicability (low vs. high) and a measure of habitual behaviour chronicity.ResultsStudy 1 demonstrated a perceived applicability effect, with more habitual (non-organic) than non-habitual (organic) food products chosen in a high perceived applicability (familiar) than in a low perceived applicability (new) context. The adaptive potential of habitual behaviour was evident in the habitual products choice consistency across three successive choices, despite the decrease in perceived applicability. Study 2 evidenced the adaptive potential in strong habitual behaviour participants – high chronic accessibility – who chose a habitual product (milk) more than a non-habitual product (orange juice), even when perceived applicability was reduced (new context).ConclusionResults portray consumers as adaptive decision makers that can flexibly cope with changes in their (inner and outer) choice contexts.

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25

Jamaluddin, Zakiyah, Norzalinda Mohd Ali Hanafiah, and Rusimah Sayuti. "Adaptive Behaviour Empowerment of Children with Disabilities in Pertubuhan Pemulihan Dalam Komuniti (PPDK)." Malaysian Journal of Social Sciences and Humanities (MJSSH) 7, no. 4 (April 10, 2022): e001459. http://dx.doi.org/10.47405/mjssh.v7i4.1459.

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Adaptive behaviour is a conceptual, practical, and social skill that each individual uses in daily life. This study focuses on the empowerment of adaptive behaviour among children with disabilities in the Pertubuhan Pemulihan Dalam Komuniti (PPDK) or Community Rehabilitation Organisation in the district of Kubang Pasu, Kedah, Malaysia. The objective of the study is to examine the differences in the adaptive skills of children with disabilities based on the category of People with Disabilities (PWDs). This is a quantitative study using a survey method that involves parents or guardians of children at PPDK. A total of 95 respondents were involved in this study from the total population of 137 disabled trainees. The questionnaire was based on and modified from the Inventory for Client and Agency Planning (ICAP) which covered adaptive behaviours based on motor skills, social and communication skills, personal life skills, and community life skills. The analysis found that motor skills, communication and social skills, and personal life skills are different for all categories of PWDs. Only community life skills are similar for all categories of PWDs. Overall, this study found that PPDK can enable the adaptive behaviour of children with disabilities for participating in formal education.

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Tenerife, Janine Joy L., Emerson Peteros, Jennifer D. Englatera, John V. De Vera, Lilibeth C. Pinili, and Margie D. Fulgencio. "Exploring predictors of adaptive behaviour of children with autism." Cypriot Journal of Educational Sciences 17, no. 3 (March 31, 2022): 772–86. http://dx.doi.org/10.18844/cjes.v17i3.6906.

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This research determined the predictors of the adaptive behaviour of children with autism who are enrolled in special education centres using a descriptive correlational design. There were 40 children with autism whose adaptive behaviour was assessed in terms of their communication, daily living, social and motor skills using the modified Vineland Adaptive Behaviour Scales (Vineland-3) together with their profile. Data gathered were treated using descriptive and inferential statistics. The results showed that most of the children were males whose average age was 9.6 years who belonged to low-income families and were enrolled in 2 to 3 years. The children had moderately low adaptive skills in all areas of the adaptive behaviour. Moreover, the profiles of the children were not significant predictors of the four adaptive skills being assessed. Thus, it is recommended that other factors may be considered to identify the predictors of the adaptive behaviour of children with autism. Keywords: Children with autism, communication, daily living, motor, social

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27

Hill, J., E. E. Popova, D. A. Ham, M. D. Piggott, and M. Srokosz. "Adapting to life: ocean biogeochemical modelling and adaptive remeshing." Ocean Science Discussions 10, no. 6 (November 5, 2013): 1997–2051. http://dx.doi.org/10.5194/osd-10-1997-2013.

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Abstract. An outstanding problem in biogeochemical modelling of the ocean is that many of the key processes occur intermittently at small scales, such as the sub-mesoscale, that are not well represented in global ocean models. As an example, state-of-the-art models give values of primary production approximately two orders of magnitude lower than those observed in the ocean's oligotrophic gyres, which cover a third of the Earth's surface. This is partly due to their failure to resolve sub-mesoscale phenomena, which play a significant role in nutrient supply. Simply increasing the resolution of the models may be an inefficient computational solution to this problem. An approach based on recent advances in adaptive mesh computational techniques may offer an alternative. Here the first steps in such an approach are described, using the example of a~simple vertical column (quasi 1-D) ocean biogeochemical model. We present a novel method of simulating ocean biogeochemical behaviour on a vertically adaptive computational mesh, where the mesh changes in response to the biogeochemical and physical state of the system throughout the simulation. We show that the model reproduces the general physical and biological behaviour at three ocean stations (India, Papa and Bermuda) as compared to a high-resolution fixed mesh simulation and to observations. The simulations capture both the seasonal and inter-annual variations. The use of an adaptive mesh does not increase the computational error, but reduces the number of mesh elements by a factor of 2–3, so reducing computational overhead. We then show the potential of this method in two case studies where we change the metric used to determine the varying mesh sizes in order to capture the dynamics of chlorophyll at Bermuda and sinking detritus at Papa. We therefore demonstrate adaptive meshes may provide a~suitable numerical technique for simulating seasonal or transient biogeochemical behaviour at high spatial resolution whilst minimising computational cost.

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28

Dingemanse, Niels J., and Max Wolf. "Recent models for adaptive personality differences: a review." Philosophical Transactions of the Royal Society B: Biological Sciences 365, no. 1560 (December 27, 2010): 3947–58. http://dx.doi.org/10.1098/rstb.2010.0221.

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In this paper we review recent models that provide adaptive explanations for animal personalities: individual differences in behaviour (or suites of correlated behaviours) that are consistent over time or contexts. We start by briefly discussing patterns of variation in behaviour that have been documented in natural populations. In the main part of the paper we discuss models for personality differences that (i) explain animal personalities as adaptive behavioural responses to differences in state, (ii) investigate how feedbacks between state and behaviour can stabilize initial differences among individuals and (iii) provide adaptive explanations for animal personalities that are not based on state differences. Throughout, we focus on two basic questions. First, what is the basic conceptual idea underlying the model? Second, what are the key assumptions and predictions of the model? We conclude by discussing empirical features of personalities that have not yet been addressed by formal modelling. While this paper is primarily intended to guide empiricists through current adaptive theory, thereby stimulating empirical tests of these models, we hope it also inspires theoreticians to address aspects of personalities that have received little attention up to now.

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Sajid, Noor, Panagiotis Tigas, and Karl Friston. "Active inference, preference learning and adaptive behaviour." IOP Conference Series: Materials Science and Engineering 1261, no. 1 (October 1, 2022): 012020. http://dx.doi.org/10.1088/1757-899x/1261/1/012020.

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Abstract The ability to adapt to a changing environment underwrites sentient behaviour e.g., wearing a raincoat when walking in the rain but removing it when indoors. In such instances, agents act to satisfy some preferred mode of behaviour that leads to predictable states necessary for survival, i.e., states that are characteristic of that agent. In this chapter, we describe how active inference agents, equipped with preference learning, can exhibit these distinct behavioural modes – influenced by environment dynamics – to aptly trade-off between preference satisfaction and exploration. We validate this in a modified OpenAI Gym FrozenLake environment (without any extrinsic signal) with and without volatility under a fixed model of the environment. In a static (i.e., without volatility) environment, preference-learning agents accumulate confident (Bayesian) beliefs about their behaviour and act to satisfy them. In contrast, volatile dynamics led to preference uncertainty and exploratory behaviour. This demonstrates that active inference agents, equipped with preference learning, have the appropriate machinery to (i) engage in adaptive behaviour under appropriate levels of volatility, and (ii) learn context-dependent subjective preferences.

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Brown, Zosia B., Hadi Dowlatabadi, and Raymond J. Cole. "Feedback and adaptive behaviour in green buildings." Intelligent Buildings International 1, no. 4 (January 1, 2009): 296–315. http://dx.doi.org/10.3763/inbi.2009.0034.

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Brown, Zosia B., Hadi Dowlatabadi, and Raymond J. Cole. "Feedback and adaptive behaviour in green buildings." Intelligent Buildings International 1, no. 4 (January 1, 2009): 296–315. http://dx.doi.org/10.3763/inbi.2009.0034/splitsection6.

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32

Heffner, Joseph, Jae-Young Son, and Oriel FeldmanHall. "Emotion prediction errors guide socially adaptive behaviour." Nature Human Behaviour 5, no. 10 (October 2021): 1391–401. http://dx.doi.org/10.1038/s41562-021-01213-6.

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Zhu, Jinhua. "Adaptive optimisation algorithm for online teaching behaviour." International Journal of Continuing Engineering Education and Life-Long Learning 31, no. 3 (2021): 405. http://dx.doi.org/10.1504/ijceell.2021.115987.

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Zhao, Dongxu, and Kai Li. "Bounded rationality, adaptive behaviour, and asset prices." International Review of Financial Analysis 80 (March 2022): 102037. http://dx.doi.org/10.1016/j.irfa.2022.102037.

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Cheng-Jiang, RUAN, and JIANG Guo-Bin. "ADAPTIVE SIGNIFICANCE OF HERKOGAMY AND FLORAL BEHAVIOUR." Chinese Journal of Plant Ecology 30, no. 2 (2006): 210–20. http://dx.doi.org/10.17521/cjpe.2006.0030.

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Deisseroth, Karl. "Circuit dynamics of adaptive and maladaptive behaviour." Nature 505, no. 7483 (January 2014): 309–17. http://dx.doi.org/10.1038/nature12982.

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Zhu, Jin hua. "Adaptive Optimisation Algorithm for Online Teaching Behaviour." International Journal of Continuing Engineering Education and Life-Long Learning 31, no. 1 (2021): 1. http://dx.doi.org/10.1504/ijceell.2021.10030757.

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Korolev, D. S., A. N. Mikhaylov, A. I. Belov, V. A. Sergeev, I. N. Antonov, O. N. Gorshkov, and D. I. Tetelbaum. "Adaptive behaviour of silicon oxide memristive nanostructures." Journal of Physics: Conference Series 741 (August 2016): 012161. http://dx.doi.org/10.1088/1742-6596/741/1/012161.

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Andersson, Arne, and Stefan Nilsson. "Improved behaviour of tries by adaptive branching." Information Processing Letters 46, no. 6 (July 1993): 295–300. http://dx.doi.org/10.1016/0020-0190(93)90068-k.

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Barnard, C. J. "Behavioural ecology: Ecological consequences of adaptive behaviour." Animal Behaviour 34 (February 1986): 312–13. http://dx.doi.org/10.1016/0003-3472(86)90055-2.

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Magurran, Anne E., Benoni H. Seghers, Gary R. Carvalho, and Paul W. Shaw. "Evolution of adaptive variation in antipredator behaviour." Marine Behaviour and Physiology 23, no. 1-4 (October 1993): 29–44. http://dx.doi.org/10.1080/10236249309378855.

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Caro, T. M., C. M. Graham, C. J. Stoner, and J. K. Vargas. "Adaptive significance of antipredator behaviour in artiodactyls." Animal Behaviour 67, no. 2 (February 2004): 205–28. http://dx.doi.org/10.1016/j.anbehav.2002.12.007.

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Caraco, Thomas. "Behavioural ecology: Ecological consequences of adaptive behaviour." Trends in Ecology & Evolution 1, no. 2 (August 1986): 52–53. http://dx.doi.org/10.1016/0169-5347(86)90076-5.

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Aiello, Brett R., Milton Tan, Usama Bin Sikandar, Alexis J. Alvey, Burhanuddin Bhinderwala, Katalina C. Kimball, Jesse R. Barber, Chris A. Hamilton, Akito Y. Kawahara, and Simon Sponberg. "Adaptive shifts underlie the divergence in wing morphology in bombycoid moths." Proceedings of the Royal Society B: Biological Sciences 288, no. 1956 (August 4, 2021): 20210677. http://dx.doi.org/10.1098/rspb.2021.0677.

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The evolution of flapping flight is linked to the prolific success of insects. Across Insecta, wing morphology diversified, strongly impacting aerodynamic performance. In the presence of ecological opportunity, discrete adaptive shifts and early bursts are two processes hypothesized to give rise to exceptional morphological diversification. Here, we use the sister-families Sphingidae and Saturniidae to answer how the evolution of aerodynamically important traits is linked to clade divergence and through what process(es) these traits evolve. Many agile Sphingidae evolved hover feeding behaviours, while adult Saturniidae lack functional mouth parts and rely on a fixed energy budget as adults. We find that Sphingidae underwent an adaptive shift in wing morphology coincident with life history and behaviour divergence, evolving small high aspect ratio wings advantageous for power reduction that can be moved at high frequencies, beneficial for flight control. By contrast, Saturniidae, which do not feed as adults, evolved large wings and morphology which surprisingly does not reduce aerodynamic power, but could contribute to their erratic flight behaviour, aiding in predator avoidance. We suggest that after the evolution of flapping flight, diversification of wing morphology can be potentiated by adaptative shifts, shaping the diversity of wing morphology across insects.

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Elveny, Marischa, Mahyuddin KM Nasution, Muhammad Zarlis, and Syahril Efendi. "Troubleshooting Customer Behaviour Against Merchants with Adaptive Multivariate Regression." Webology 18, no. 2 (December 23, 2021): 462–74. http://dx.doi.org/10.14704/web/v18i2/web18333.

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Business intelligence can be said to be techniques and tools as acquisition, transforming raw data into meaningful and useful information for business analysis purposes. This study aims to build business intelligence in optimizing large-scale data based on e-metrics. E-metrics are data created from electronic-based customer behavior. As more and more large data sets become available, the challenge of analyzing data sets will get bigger and bigger. Therefore, business intelligence is currently facing new challenges, but also interesting opportunities, where can describe in real time the needs of the market share. Optimization is done using adaptive multivariate regression that can be address high-dimensional data and produce accurate predictions of response variables and produce continuous models in knots based on the smallest GCV value, where large and diverse data are simplified and then modeled based on the level of behavior similarity, basic measurements of distances, attributes, times, places, and transactions between social actors. Customer purchases will represent each preferred behaviour and a formula can be used to calculate the score for each customer using 7 input variables. Adaptive multivariate regression looks for customer behaviour so as to get the results of cutting the deviation which is the determining factor for performance on the data. The results show there are strategies and information needed for a sustainable business. Where merchants who sell fast food or food stalls are more in demand by customers.

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Chelliah, Shankar, Lee Ming Huoy, and Mohamed Sulaiman. "Social Network and Adaptive Capabilities Among Malaysian Born Global Firms." Advanced Science Letters 21, no. 4 (April 1, 2015): 672–75. http://dx.doi.org/10.1166/asl.2015.5952.

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The purpose of the research is to understand the mediating factor of Social Network and Adaptive Capabilities to the Relationship between Malaysian Born Global Entrepreneur’s Behaviours on International Performance. In the global market’s environment, there is full of uncertainty impact that may affect the entrepreneur’s international performance. Social network, adaptive capabilities and the firm behaviour is affecting the outcome of firm’s performance. The dependent variable of this research is firm performance, the independent variable of this research is Born Global firm’s behaviour and the moderating variables of this research are social network and adaptive capabilities. Based on the collected data, the research concluded that there was a significant relationship for social network and adaptive capabilities on the relationship between born global entrepreneur’s behaviours that influence in firm’s international performance. The study is geographically localized and limited to testing a sample of small medium enterprise (SMEs), Malaysian service and manufacturing firms with a minimum of 5 employees and no more than 150 employees, and also have internationalize their business activity; example like import, export, franchise, direct investment and other international business activity.

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De Clercq, Dirk, Inam Ul Haq, and Muhammad Umer Azeem. "When does job dissatisfaction lead to deviant behaviour? The critical roles of abusive supervision and adaptive humour." Australian Journal of Management 45, no. 2 (October 3, 2019): 294–316. http://dx.doi.org/10.1177/0312896219877679.

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With a basis in conservation of resources theory, this study investigates the relationship between employees’ sense of job dissatisfaction and their engagement in deviant behaviour, as well as the moderating roles that their exposure to abusive leadership and possession of adaptive humour skills can play in this process. Based on two-way survey data collected from employees in Pakistan, the findings show that employees’ unhappy feelings about their job situations enhance the likelihood that they undertake negative behaviours that can harm their organization, especially when they suffer from abusive leadership or lack adaptive humour skills. The buffering effect of their adaptive humour on the positive relationship between job dissatisfaction and deviant behaviour is also particularly salient in the presence of abusive leadership. JEL Classification: D23, D91, M50

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Amenuvor, Fortune Edem, Richard Basilisco, Henry Boateng, Kwan Soo Shin, Dohyun Im, and Kwasi Owusu-Antwi. "Salesforce output control and customer-oriented selling behaviours." Marketing Intelligence & Planning 40, no. 3 (February 18, 2022): 344–57. http://dx.doi.org/10.1108/mip-08-2021-0269.

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PurposeThis study sets out to empirically investigate the effect of salesforce output control on perceived job autonomy, customer-oriented selling behaviours and sales performance.Design/methodology/approachData are gathered from 704 salespeople and their visiting customers in Ghana. The hypotheses are tested using the structural equations modelling technique (SEM).FindingsAccording to the findings of the study, output control has a significant and positive impact on perceived job autonomy. It also discovers that perceived job autonomy improves both customer-directed problem solving and adaptive selling behaviours. Furthermore, the study finds that customer-directed problem solving and adaptive selling behaviours both improve sales performance. Moreover, the study uncovers that perceived job autonomy mediates the relationship between output control and customer-oriented selling behaviours, whereas both customer-oriented selling behaviours mediate the relationship between perceived job autonomy and sales performance.Practical implicationsThe current study provides both practical and theoretical insights into salesforce control dynamics, job autonomy, adaptive selling behaviour, customer-directed problem-solving behaviour and sales performance. The findings have important implications for sales organisations because they can assist sales managers in determining the best type of salesforce control systems to deploy and highlight the strategic role job autonomy plays in enhancing sales performance.Originality/valueThe current study shows how output control can influence salespeople's perceived job autonomy, adaptive selling and customer-directed problem-solving behaviours, and how these can improve sales performance.

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Sakano, Mari, Raja Mukherjee, and Jeremy Turk. "Behaviour and adaptive functioning in children and young people with fetal alcohol spectrum disorders: a UK study." Advances in Dual Diagnosis 12, no. 1/2 (February 18, 2019): 62–72. http://dx.doi.org/10.1108/add-10-2018-0016.

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Purpose The purpose of this paper is to explore the profiles of behaviours and adaptive functioning in the UK children and young people with fetal alcohol spectrum disorders. Design/methodology/approach Data of 106 participants registered from 2005 to 2015 were extracted from a clinic database. In total, 99 individuals with confirmed prenatal alcohol exposure (PAE), aged from 5 to 25 years, were analysed using scaled scores of the Vineland Adaptive Behavior Scales-Second Edition (VABS-II), and the Developmental Behaviour Checklist-Primary Carer Version (DBC-P) and Teacher Version (DBC-T). Differences due to age, gender, IQ and family structure (adopted/living with birth parents) were also explored. Findings The mean composite adaptive behaviour score on the VABS-II was classified as “low” at 68.2 (SD=8.5), with the socialisation domain being the most impaired. Significantly lower VABS-II composite scores were found in individuals with lower IQ’s, older ages and in males. Disruptive behaviours were the most commonly observed on the DBCs, whereas primary carers scored significantly higher than teachers across all subscales. IQ, age and gender were not associated with the total percentile scores of both DBCs. Adoption made no differences compared to living with birth parents. Research limitations/implications Future studies would replicate these findings in a larger sample size including individuals without PAE and those living with birth parents. Originality/value This study is the first UK report that examines this issue.

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Wolf, Max, and Franz J. Weissing. "An explanatory framework for adaptive personality differences." Philosophical Transactions of the Royal Society B: Biological Sciences 365, no. 1560 (December 27, 2010): 3959–68. http://dx.doi.org/10.1098/rstb.2010.0215.

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We develop a conceptual framework for the understanding of animal personalities in terms of adaptive evolution. We focus on two basic questions. First, why do behavioural types exhibit limited behavioural plasticity, that is, behavioural correlations both across contexts and over time? Second, how can multiple behavioural types coexist within a single population? We emphasize differences in ‘state’ among individuals in combination with state-dependent behaviour. Some states are inherently stable and individual differences in such states can explain stable differences in suites of behaviour if it is adaptive to make behaviour in various contexts dependent on such states. Behavioural stability and cross-context correlations in behaviour are more difficult to explain if individual states are potentially more variable. In such cases stable personalities can result from state-dependent behaviour if state and behaviour mutually reinforce each other by feedback mechanisms. We discuss various evolutionary mechanisms for the maintenance of variation (in states and/or behaviour), including frequency-dependent selection, spatial variation with incomplete matching between habitat and phenotype, bet-hedging in a temporally fluctuating environment, and non-equilibrium dynamics. Although state differences are important, we also discuss how social conventions and social signalling can give rise to adaptive personality differences in the absence of state differences.

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