Relevant bibliographies by topics / Adaptive behaviour

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Adaptive behaviour'

Author: Grafiati
Published: 4 June 2021
Last updated: 20 February 2023

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Journal articles on the topic "Adaptive behaviour"

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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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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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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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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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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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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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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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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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Dissertations / Theses on the topic "Adaptive behaviour"

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Tyska, Carvalho Jônata. "Adaptive behaviour in evolving robots." Thesis, University of Plymouth, 2017. http://hdl.handle.net/10026.1/10547.

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In this thesis, the evolution of adaptive behaviour in artificial agents is studied. More specifically, two types of adaptive behaviours are studied: articulated and cognitive ones. Chapter 1 presents a general introduction together with a brief presentation of the research area of this thesis, its main goals and a brief overview of the experimental studies done, the results and conclusions obtained. On chapter 2, I briefly present some promising methods that automatically generate robot controllers and/or body plans and potentially could help in the development of adaptive robots. Among these methods I present in details evolutionary robotics, a method inspired on natural evolution, and the biological background regarding adaptive behaviours in biological organisms, which provided inspiration for the studies presented in this thesis. On chapter 3, I present a detailed study regarding the evolution of articulated behaviours, i.e., behaviours that are organized in functional sub-parts, and that are combined and used in a sequential and context-dependent way, regardless if there is a structural division in the robot controller or not. The experiments performed with a single goal task, a cleaning task, showed that it is possible to evolve articulated behaviours even in this condition and without structural division of the robot controller. Also the analysis of the results showed that this type of integrated modular behaviours brought performance advantages compared to structural divided controllers. Analysis of robots' behaviours helped to clarify that the evolution of this type of behaviour depended on the characteristics of the neural network controllers and the robot's sensorimotor capacities, that in turn defined the capacity of the robot to generate opportunity for actions, which in psychological literature is often called affordances. In chapter 4, a study seeking to understand the role of reactive strategies in the evolution of cognitive solutions, i.e. those capable of integrating information over time encoding it on internal states that will regulate the robot's behaviour in the future, is presented. More specifically I tried to understand whether the existence of sub-optimal reactive strategies prevent the development of cognitive solutions, or they can promote the evolution of solutions capable of combining reactive strategies and the use of internal information for solving a response delayed task, the double t-maze. The results obtained showed that reactive strategies capable of offloading cognitive work to the agent/environmental relation can promote, rather than prevent the evolution of solutions relying on internal information. The analysis of these results clarified how these two mechanisms interact producing a hybrid superior and robust solution for the delayed response task.
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Dahl, Torbjørn Semb. "Behaviour based learning : evolution inspired development of adaptive robot behaviours." Thesis, University of Bristol, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.251543.

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Doensig, Jorgensen Thomas. "Adaptive behaviour of cooperative robotic systems." Thesis, University of Portsmouth, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.510767.

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Harvey, Inman. "The artificial evolution of adaptive behaviour." Thesis, University of Sussex, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.282998.

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Spier, Emmet. "From reactive behaviour to adaptive behaviour : motivational models for behaviour in animals and robots." Thesis, University of Oxford, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.364107.

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Åfeldt, Tom. "Adaptive Steering Behaviour for Heavy Duty Vehicles." Thesis, KTH, Reglerteknik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-215134.

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Today the majority of the driver assistance systems are rule-basedcontrol systems that help the driver control the truck. But driversare looking for something more personal and exible that can controlthe truck in a human way with their own preferences. Machine learningand articial intelligence can help achieve this aim. In this studyArticial Neural Networks are used to model the driver steering behaviourin the Scania Lane Keeping Assist. Based on this, trajectoryplanning and steering wheel torque response are modelled to t thedriver preference. A model predictive controller can be used to maintainstate limitations and to weigh the two modelled driver preferencestogether. Due to the diculties in obtaining an internal plant modelfor the model predictive controller a variant of a PI-controller is addedfor integral action instead. The articial neural network also containsan online learning feature to further customize the t to the driverpreference over time.
Idag används till största del regelbaserade reglersystem förförarassistanssystem i lastbilar. Men lastbilschaufförer vill ha någotmer personligt och flexibelt, som kan styra lastbilen på ett mänskligtsätt med förarens egna preferenser. Maskininlärning och artificiell intelligenskan hjälpa till för att uppnå detta mål. I denna studie användsartificiella neurala nätverk för att modellera förarens styrbeteende genomScania Lane Keeping Assist. Med användning av detta modellerasförarens preferenser med avseende på placering på vägbanan och momentpåslag på ratten. En modell prediktiv kontroller kan användas föratt begränsa tillstånd och för att väga de två modellerade preferensernamot varann. Eftersom det var mycket svårt att ta fram den internaprocessmodellen som krävdes för regulatorn används istället en variantav en PI-kontroller för att styra lastbilen. De artificiella neuralanätverken kan också tillåtas att lära sig under körning för att anpassasig till förarens preferenser över tid.
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Jasinksi, Jennifer Anne, and n/a. "Teaching adaptive behaviour to 'behaviour problem' high school students : an exploratory study." University of Canberra. Education, 1986. http://erl.canberra.edu.au./public/adt-AUC20060801.160735.

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The purpose of this study was to determine whether the Adaptive Behaviour group intervention effected a greater immediate positive change on 'poorly adapted' student locus of control, self esteem, group evaluation and perceived behaviour than Helping Skills, Relaxation Training or No Intervention group after eight weeks. The three independent variables - Adaptive Behaviour, Helping Skills and Relaxation Training Group Interventions - were devised and led by the Researcher and two school counsellors respectively. Measurement of the dependent variables was by the use of the following instruments pre-test and post-test: Locus of Control Scale for Children (Nowicki Strickland 1972); Coopersmith Self Esteem Inventory (Coopersmith, 1982); and researcher designed questionnaires. A pre-test post-test group design was used in the study. The subjects were years 7-9 High School students identified by Student Year Advisers and the Assistant Principal Student Welfare as being 'poorly adapted' and 'well adapted' to the school environment. Students were randomly allocated - in year groups - to the intervention and control groups. Results indicated no short term significant positive change in locus of control for any intervention or controlgroup; no short term significant positive change in self esteem for any intervention group; no significant correlation between locus of control and self esteem scores for any intervention group; positive pre and post-test group evaluations for all groups; some positive short term change in teacher and student perceptions of student behaviour in regard to all three interventions. In some cases students' behaviour in the experimental group (Group A) was perceived more positively by teachers and students. Some recommendations for further research are: replication of the study over a longer period of time with some modification to the experimental programme, the research design and methods of measurement.
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Burchietti, Francesco. "A novel artificial hand with adaptive prehensile-behaviour." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2020.

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In this thesis report it will be discussed the design of a novel hand prosthesis with an innovative finger mechanism that would be able to imitate the prehensile behaviour of the human hand during the manipulation of objects. This artificial hand can act according to different strategies and trajectories during the manipulation of different types of objects, according to their size, shape and position in the environment. In any case, it is possible to distinguish two typical configurations for the manipu-lation of objects by the hand, namely a pinch action if the object is small (where the grabbing takes place by opposition of the index/middle fingers with the thumb) and a grasp action if the object has a relevant dimension if compared to the hand (where all the fingers of the hand will wrap around it, regardless of its particular shape, automatically adapting with a self-adaptive strategy) Referring to the use of soft and under-actuated mechanisms, however, it is possible to create anyway some kind of valid and effective devices, finding a simple solution for the previous critical factors. The aim of this work is therefore to propose a light and low-priced artificial mechanism that allows pinch and self-adaptive grasp in the same way, with the purpose to make the usage of the resulting artificial prosthesis as easy as possible for its final user regarding the prehensile purpose related to any type of object. For every characteristic of the target considered, the artificial hand can act in an adequate grasping strategy, despite the fact that the mechanism has a certain structure and that it is under-actuated. For releasing that the use of compliant elements instead of rigid joints was chosen with an actuation mechanism through cables, with two small electric motors to drive the whole the prosthesis, thus making the final device simple, light, cheap and effective.
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Wagener, Gérard. "Self-Adaptive Honeypots Coercing and Assessing Attacker Behaviour." Phd thesis, Institut National Polytechnique de Lorraine - INPL, 2011. http://tel.archives-ouvertes.fr/tel-00627981.

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Information security communities are always talking about "attackers" or "blackhats", but in reality very little is known about their skills. The idea of studying attacker behaviors was pioneered in the early nineties. In the last decade the number of attacks has increased exponentially and honeypots were introduced in order to gather information about attackers and to develop early-warning systems. Honeypots come in different flavors with respect to their interaction potential. A honeypot can be very restrictive, but this implies only a few interactions. However, if a honeypot is very tolerant, attackers can quickly achieve their goal. Choosing the best trade-off between attacker freedom and honeypot restrictions is challenging. In this dissertation, we address the issue of self-adaptive honeypots that can change their behavior and lure attackers into revealing as much information as possible about themselves. Rather than being allowed simply to carry out attacks, attackers are challenged by strategic interference from adaptive honeypots. The observation of the attackers' reactions is particularly interesting and, using derived measurable criteria, the attacker's skills and capabilities can be assessed by the honeypot operator. Attackers enter sequences of inputs on a compromised system which is generic enough to characterize most attacker behaviors. Based on these principles, we formally model the interactions of attackers with a compromised system. The key idea is to leverage game-theoretic concepts to define the configuration and reciprocal actions of high-interaction honeypots. We have also leveraged machine learning techniques for this task and have developed a honeypot that uses a variant of reinforcement learning in order to arrive at the best behavior when facing attackers. The honeypot is capable of adopting behavioral strategies that vary from blocking commands or returning erroneous messages, right up to insults that aim to irritate the intruder and serve as a reverse Turing Test distinguishing human attackers from machines. Our experimental results show that behavioral strategies are dependent on contextual parameters and can serve as advanced building blocks for intelligent honeypots. The knowledge obtained can be used either by the adaptive honeypots themselves or to reconfigure low-interaction honeypots.
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Kochenderfer, Mykel J. "Adaptive modelling and planning for learning intelligent behaviour." Thesis, University of Edinburgh, 2006. http://hdl.handle.net/1842/1408.

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An intelligent agent must be capable of using its past experience to develop an understanding of how its actions affect the world in which it is situated. Given some objective, the agent must be able to effectively use its understanding of the world to produce a plan that is robust to the uncertainty present in the world. This thesis presents a novel computational framework called the Adaptive Modelling and Planning System (AMPS) that aims to meet these requirements for intelligence. The challenge of the agent is to use its experience in the world to generate a model. In problems with large state and action spaces, the agent can generalise from limited experience by grouping together similar states and actions, effectively partitioning the state and action spaces into finite sets of regions. This process is called abstraction. Several different abstraction approaches have been proposed in the literature, but the existing algorithms have many limitations. They generally only increase resolution, require a large amount of data before changing the abstraction, do not generalise over actions, and are computationally expensive. AMPS aims to solve these problems using a new kind of approach. AMPS splits and merges existing regions in its abstraction according to a set of heuristics. The system introduces splits using a mechanism related to supervised learning and is defined in a general way, allowing AMPS to leverage a wide variety of representations. The system merges existing regions when an analysis of the current plan indicates that doing so could be useful. Because several different regions may require revision at any given time, AMPS prioritises revision to best utilise whatever computational resources are available. Changes in the abstraction lead to changes in the model, requiring changes to the plan. AMPS prioritises the planning process, and when the agent has time, it replans in high-priority regions. This thesis demonstrates the flexibility and strength of this approach in learning intelligent behaviour from limited experience.
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Books on the topic "Adaptive behaviour"

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M, Sibley R., Smith R. H, British Ecological Society Symposium, and British Ecological Society, eds. Behavioural ecology: Ecological consequences of adaptive behaviour. Oxford: Blackwell Scientific Publications, 1985.

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The new evolutionary microeconomics: Complexity, competence, and adaptive behaviour. Cheltenham, UK: Edward Elgar, 2000.

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Hancock, Marian Valerie. Smoking in young females: An adaptive behaviour of personality type. Guildford: University of Surrey, 1992.

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Symposium, British Ecological Society. Behavioural ecology: Ecological consequences of adaptive behaviour : the 25th Symposium of the British Ecological Society, Reading, 1984. Oxford: Blackwell Scientific, 1985.

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Richards, Jan Peter Sheridan. Exploring adaptive behaviour control with an animat inspired by the Siamese fighting fish. Ottawa: National Library of Canada, 2000.

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Filipowicz, Judy Rachel. Using ART 1 (Adaptive Resonance Theory 1) to Study Flocking Behaviour in Intelligent agents. Oxford: Oxford Brookes University, 2001.

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Hoedemaeker, Marika. Driving with intelligent vehicles: Driving behaviour with adaptive cruise control and the acceptance by individual drivers. Delft, Netherlands: Delft University Press, 1999.

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Hanlon, Roger T. Adaptive coloration in young cuttlefish (Sepia officinalis L.): The morphology and development of body patternsand their relation to behaviour. London: Royal Society, 1988.

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Reschly, Daniel J. Adaptive behavior. Tallahassee, Fla: Florida Dept. of Education, Division of Public Schools, Bureau of Education for Exceptional Students, 1987.

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Linda, Brown. Adaptive behavior inventory. Austin, Tex. (5341 Industrial Oaks Blvd., Austin 78735): Pro-Ed, 1986.

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Book chapters on the topic "Adaptive behaviour"

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Adegbite, Oluwaseun E., Antonis C. Simintiras, Yogesh K. Dwivedi, and Kemefasu Ifie. "Adaptive Behaviour Paradigms." In Organisational Adaptations, 49–80. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-63510-1_4.

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Dinga, Emil, Camelia Oprean-Stan, Cristina-Roxana Tănăsescu, Vasile Brătian, and Gabriela-Mariana Ionescu. "Adaptive preference." In Financial Market Analysis and Behaviour, 1–54. London: Routledge, 2022. http://dx.doi.org/10.4324/9781003283690-1.

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Dinga, Emil, Camelia Oprean-Stan, Cristina-Roxana Tănăsescu, Vasile Brătian, and Gabriela-Mariana Ionescu. "Mechanism of adaptive preference." In Financial Market Analysis and Behaviour, 55–165. London: Routledge, 2022. http://dx.doi.org/10.4324/9781003283690-2.

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Krautsevich, Leanid, Fabio Martinelli, and Artsiom Yautsiukhin. "Towards Modelling Adaptive Attacker’s Behaviour." In Foundations and Practice of Security, 357–64. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-37119-6_23.

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Rosenzweig, Mark R., David Krech, and Edward L. Bennett. "Brain Enzymes and Adaptive Behaviour." In Novartis Foundation Symposia, 337–58. Chichester, UK: John Wiley & Sons, Ltd., 2008. http://dx.doi.org/10.1002/9780470719091.ch19.

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Buckley, Christopher L., Peter Fine, Seth Bullock, and Ezequiel Di Paolo. "Monostable Controllers for Adaptive Behaviour." In Lecture Notes in Computer Science, 103–12. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-69134-1_11.

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Piovani, Duccio, Jelena Grujić, and Henrik J. Jensen. "Models with Adaptive Intermittent Behaviour." In Multilevel Strategic Interaction Game Models for Complex Networks, 263–70. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-24455-2_13.

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Marks, Robert E., David F. Midgley, and Lee G. Cooper. "Adaptive Behaviour in an Oligopoly." In Evolutionary Algorithms in Management Applications, 225–39. Berlin, Heidelberg: Springer Berlin Heidelberg, 1995. http://dx.doi.org/10.1007/978-3-642-61217-6_12.

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Cupkova, Dana, Nicolas Azel, and Christine Mondor. "EPIFLOW: Adaptive Analytical Design Framework for Resilient Urban Water Systems." In Modelling Behaviour, 419–31. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-24208-8_35.

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Simpson, David. "The Economy as a Human Complex Adaptive System." In Rethinking Economic Behaviour, 79–94. London: Palgrave Macmillan UK, 2000. http://dx.doi.org/10.1057/9780230513556_7.

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Conference papers on the topic "Adaptive behaviour"

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Tamke, Martin, David Stasiuk, and Mette Ramsgard Thomsen. "The Rise – Material Behaviour in Generative Design." In ACADIA 2013: Adaptive Architecture. ACADIA, 2013. http://dx.doi.org/10.52842/conf.acadia.2013.379.

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Clark, Tony, Vinay Kulkarni, Souvik Barat, and Balbir Barn. "Actor Monitors for Adaptive Behaviour." In ISEC '17: Innovations in Software Engineering Conference. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3021460.3021469.

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Miller, A., B. Porr, P. di Prodi, and R. Kirwan. "Model checking For Improved Adaptive Behaviour." In IET Conference on Control and Automation 2013: Uniting Problems and Solutions. Institution of Engineering and Technology, 2013. http://dx.doi.org/10.1049/cp.2013.0023.

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Ströbele, Stefan, Lorenzo Pettazzi, Julien Charton, Pierre-Yves Madec, Prashant Pathak, and Markus Kasper. "ESO’s ultra-fast wavefront sensor unveils the mysteries of deformable mirrors’ temporal behaviour." In Adaptive Optics Systems VIII, edited by Dirk Schmidt, Laura Schreiber, and Elise Vernet. SPIE, 2022. http://dx.doi.org/10.1117/12.2627917.

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Thwapiah, Ghalib Y., and Flavio L. Campanile. "Nonlinear Aeroelastic Behaviour of Compliant Airfoils." In ASME 2009 Conference on Smart Materials, Adaptive Structures and Intelligent Systems. ASMEDC, 2009. http://dx.doi.org/10.1115/smasis2009-1304.

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Since begin of the aviation and up to the present times, airfoils have always been built as rigid structures. They are designed to fly under their divergence speed in order to avoid static aeroelastic instabilities and the resulting large deformations which are not compatible with the typically low compliance of such airfoils. In recent years, research on airfoil morphing has generated interest in innovative ideas like the use of compliant systems, i.e. systems built to allow for large deformations without failure, in airfoil construction. Such systems can operate in the neighbourhood of divergence and take advantage of large aeroelastic servo-effects. This, in turn, could allow compact, advanced actuators to control the airfoil’s deformation and loads, and hence complement or even replace conventional flaps. In order to analyze and design such compliant, active aeroelastic structures a non-linear approach to static aeroelastic is needed, which takes into account the effect of large deformations on aerodynamics and structure. Such an analytical approach is presented in this paper and applied to a compliant passive airfoil as the preliminary step to the realisation of a piezoelectrically driven, active aeroelastic airfoil. Wind-tunnel test results are also presented and compared with the analytic prediction. The good agreement and the observed behaviour in the wind tunnel give confidence in the potential of this innovative idea.
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Paus, Aleksander, Jim Torresen, and Mats Hovin. "Adaptive Facial Behaviour using Selected Machine Learning Methods." In 2007 2nd NASA/ESA Conference on Adaptive Hardware and Systems. IEEE, 2007. http://dx.doi.org/10.1109/ahs.2007.20.

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Bodenham, Dean Adam, and Niall M. Adams. "Adaptive Change Detection for Relay-Like Behaviour." In 2014 IEEE Joint Intelligence and Security Informatics Conference (JISIC). IEEE, 2014. http://dx.doi.org/10.1109/jisic.2014.48.

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Sanders, J. W., and Graeme Smith. "Assuring Adaptive Behaviour in Self-Organising Systems." In 2010 Fourth IEEE International Conference on Self-Adaptive and Self-Organizing Systems Workshop (SASOW). IEEE, 2010. http://dx.doi.org/10.1109/sasow.2010.36.

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Gareis, Michael, and Jürgen Maas. "Acoustical Behaviour of Buckling Dielectric Elastomer Actuators." In ASME 2019 Conference on Smart Materials, Adaptive Structures and Intelligent Systems. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/smasis2019-5747.

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Abstract Dielectric elastomers (DE) are regarded as a potential alternative to conventional actuator technologies. They feature low weight, high strains and low material costs. Their scope of application ranges from sensors, energy generators, smart textiles to biomimetic robots and much more. A few concepts of loudspeakers using DE have been demonstrated by the research community. One of the disadvantages of previously concepts was the need for mechanical bias (e.g. by air pressure). This work proposes a new concept of loudspeaker, which does not need prestretch or other means of mechanical bias. Buckling dielectric elastomer transducers (BDET) use the area expansion of actuated DE to buckle up. This mechanism is used to construct a millimeter-scale loudspeaker with good frequency response in the upper frequency range. The concept is implemented using automatically fabricated multi-layer membranes. The multilayer structure allows to generate more force and has higher flexural rigidity than a single-layer setup. Samples with different amount of layers are fabricated and an analytical model is derived. Measurements of the static deflection, the frequency response and the total harmonic distortion validate the model. The small scale of the speaker allows it to be installed in large arrays and thus might offer a hardware platform for high-resolution beam forming or wave field synthesis.
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Logie, Robert, Jon G. Hall, and Kevin G. Waugh. "Agent Influence and Nested Other-Agent Behaviour." In 2009 Computation World: Future Computing, Service Computation, Cognitive, Adaptive, Content, Patterns (COMPUTATIONWORLD). IEEE, 2009. http://dx.doi.org/10.1109/computationworld.2009.41.

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Reports on the topic "Adaptive behaviour"

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Khan, Mahreen. Lessons from Adaptive Programming. Institute of Development Studies, September 2022. http://dx.doi.org/10.19088/k4d.2022.142.

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The aim of adaptive programming (AP) is to produce adaptive, flexible, iterative, responsive, problem-driven, politically smart, locally led programmes which are effective and efficient and meet donor requirements for accountability. This is a rapid desk review of recent literature on AP including academic and grey sources. Section 2 covers the main challenges and barriers to successful implementation of AP. Key success factors are covered in Section 3. Selecting the appropriate monitoring and evaluation tools such as outcome harvesting or adapted versions of Value for Money to assist in measuring outcomes and embedding learning is key to successful AP, particularly in governance programmes, where results are usually long-term, non-linear and causality can be difficult to specifically trace back to the donor-funded intervention. Section 4 details three case studies from the governance arena as this report was requested to assist in designing adaptive governance programmes. Thus, the State Accountability and Voice Initiative (SAVI) from Nigeria, Chakua Hatua from Tanzania, and Within and Without the State (WWS) from conflict regions are included to show how flexible indicators, donor communication and negotiation, empowering teams and adopting monitoring and evaluation tools assisted in successful AP outcomes in different locations and political contexts. The challenges faced and drawbacks of certain processes were fed into efficient feedback loops fostering cross-communication, adaptation, and modification to ensure procedures and policies were changed accordingly. Sources used are primarily from the previous 5 years, as per K4D norms, unless the work is seminal, such as the ODI Report (2016) Doing Development Differently, which encouraged over 60 countries to sign up for the AP methodology. This review found a substantive body of literature on AP methodology the relative recency of academic attention on AP in the development less evidence is available on case studies of AP in the development sector, as there are not many ongoing projects and even fewer have been completed and results assessed (ICF, 2019). There is also a lack of case studies on how dynamic, empowered, innovative teams successfully apply adaptive programming ideas, particularly providing behavioural insights about such teams (Cooke, 2017) as well as little attention to precipitating and sustaining behaviour change in institutions over the longer term (Power, 2017).
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Howitt, Peter, and Ömer Özak. Adaptive Consumption Behavior. Cambridge, MA: National Bureau of Economic Research, October 2009. http://dx.doi.org/10.3386/w15427.

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Jones, R. D., C. L. Barrett, U. Hand, and R. C. Gordon. Adaptive capture of expert behavior. Office of Scientific and Technical Information (OSTI), August 1994. http://dx.doi.org/10.2172/10179483.

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Соловйов, Володимир Миколайович, V. Saptsin, and D. Chabanenko. Financial time series prediction with the technology of complex Markov chains. Transport and Telecommunication Institute, 2010. http://dx.doi.org/10.31812/0564/1145.

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In this research the technology of complex Markov chains, i.e. Markov chains with a memory is applied to forecast financial time-series. The main distinction of complex or high-order Markov chains [1] and simple first-order ones is the existing of after effect or memory. The high-order Markov chains can be simplified to first-order ones by generalizing the states in Markov chains. Considering the “generalized state” as the sequence of states makes a possibility to model high-order Markov chains like first-order ones. The adaptive method of defining the states is proposed, it is concerned with the statistic properties of price returns [2]. According to the fundamental principles of quantum measurement theories, the measurement procedure impacts not only on the result of the measurement, but also on the state of the measured system, and the behaviour of this system in the future remains undefined, despite of the precision of the measurement. This statement, in our opinion, is general and is true not only for physical systems, but to any complex systems [3].
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Jukes, Matthew C. H., Yasmin Sitabkhan, and Jovina J. Tibenda. Adapting Pedagogy to Cultural Context. RTI Press, September 2021. http://dx.doi.org/10.3768/rtipress.2021.op.0070.2109.

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This paper argues that many pedagogical reform efforts falter because they fail to consider the cultural context of teacher and student behavior. Little guidance exists on how to adapt teaching practices to be compatible with culturally influenced behaviors and beliefs. We present evidence from three studies conducted as part of a large basic education program in Tanzania showing that some teaching activities are less effective or not well implemented because of culturally influenced behaviors in the classroom, namely children’s lack of confidence to speak up in class; a commitment to togetherness, fairness, and cooperation; avoidance of embarrassment; and age-graded authority. We propose ways teaching activities can be adapted to take these behaviors into account while still adhering to fundamental principles of effective learning, including student participation in their own learning, teaching at the right level, and monitoring students as a basis for adjusting instruction. Such adaptations may be made most effective by engaging teachers in co-creation of teaching activities.
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Lee, J. B., and Ronald C. Arkin. Adaptive Multi-Robot Behavior via Learning Momentum. Fort Belvoir, VA: Defense Technical Information Center, January 2003. http://dx.doi.org/10.21236/ada443160.

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Rajarajan, Kunasekaran, Alka Bharati, Hirdayesh Anuragi, Arun Kumar Handa, Kishor Gaikwad, Nagendra Kumar Singh, Kamal Prasad Mohapatra, et al. Status of perennial tree germplasm resources in India and their utilization in the context of global genome sequencing efforts. World Agroforestry, 2020. http://dx.doi.org/10.5716/wp20050.pdf.

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Tree species are characterized by their perennial growth habit, woody morphology, long juvenile period phase, mostly outcrossing behaviour, highly heterozygosity genetic makeup, and relatively high genetic diversity. The economically important trees have been an integral part of the human life system due to their provision of timber, fruit, fodder, and medicinal and/or health benefits. Despite its widespread application in agriculture, industrial and medicinal values, the molecular aspects of key economic traits of many tree species remain largely unexplored. Over the past two decades, research on forest tree genomics has generally lagged behind that of other agronomic crops. Genomic research on trees is motivated by the need to support genetic improvement programmes mostly for food trees and timber, and develop diagnostic tools to assist in recommendation for optimum conservation, restoration and management of natural populations. Research on long-lived woody perennials is extending our molecular knowledge and understanding of complex life histories and adaptations to the environment, enriching a field that has traditionally drawn its biological inference from a few short-lived herbaceous species. These concerns have fostered research aimed at deciphering the genomic basis of complex traits that are related to the adaptive value of trees. This review summarizes the highlights of tree genomics and offers some priorities for accelerating progress in the next decade.
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Lockery, Shawn R. Noise-Tolerant Neural Networks Controlling Adaptive Behavior in Autonomous Agents. Fort Belvoir, VA: Defense Technical Information Center, March 1996. http://dx.doi.org/10.21236/ada327443.

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Whitesides, George. Dynamic, Adaptive, Systems and Materials: Complex, Simple and Emergent Behaviors. Office of Scientific and Technical Information (OSTI), September 2022. http://dx.doi.org/10.2172/1888751.

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Gray, Wayne D. Computational Cognitive Modeling of Adaptive Choice Behavior in a Dynamic Decision Paradigm. Fort Belvoir, VA: Defense Technical Information Center, February 2006. http://dx.doi.org/10.21236/ada444683.

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