Relevant bibliographies by topics / Sequential behaviors

Academic literature on the topic 'Sequential behaviors'

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Published: 10 December 2022
Last updated: 28 January 2023

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Journal articles on the topic "Sequential behaviors"

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Kim, Byung-Jik. "Unstable Jobs Cannot Cultivate Good Organizational Citizens: The Sequential Mediating Role of Organizational Trust and Identification." International Journal of Environmental Research and Public Health 16, no. 7 (March 27, 2019): 1102. http://dx.doi.org/10.3390/ijerph16071102.

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Although existing works have investigated the influence of employee’s job insecurity on his or her perceptions or attitudes, those studies relatively have paid less attention to the influence of it on employee’s behaviors, as well as to its intermediating mechanisms of the relationship between job insecurity and the behaviors. Considering that employee’s behaviors substantially influence various organizational outcomes, I believe that studies which examine the impact of job insecurity on the behaviors as well as its underlying processes are required. Grounded on the context–attitude–behavior framework, I delved into the intermediating mechanism between job insecurity and organizational citizenship behavior with a sequential mediation model. In specific, I hypothesized that employee’s organizational trust and organizational identification would sequentially mediate the job insecurity–organizational citizenship behavior (OCB) link. Utilizing 3-wave time-lagged data from 303 employees in South Korea, I found that organizational trust and organizational identification function as sequential mediators in the link. The finding suggests that organizational trust and organizational identification are underlying processes to elaborately explain the job insecurity–OCB link.
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Jeon, Daejong, Jiye Choi, Ah Reum Yang, Jung-Seok Yoo, Sangwoo Kim, Sang Kun Lee, and Kon Chu. "Chronic social stress during early development elicits unique behavioral changes in adulthood." encephalitis 2, no. 2 (April 10, 2022): 45–53. http://dx.doi.org/10.47936/encephalitis.2021.00178.

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PurposeChronic social stress is known to induce inflammation in the brain, and early-life stress affects the brain and social behavior in adulthood. To study the relationship between social stress in childhood development and social behavior in adulthood, we subjected mice to a sequential early-life social stresses and characterized their adult behavioral phenotypes.MethodsC57BL/6 mice were sequentially subjected to maternal separation (MS), social defeat (SD), and social isolation (SI) in that order. The body weights of the MS/SD/SI mice were measured. Behavioral tasks related to anxiety, depression, locomotion, learning/memory, and repetitive/compulsive-like behavior were conducted. Social behaviors suggesting sociability, social interaction, aggression, and social fear were investigated. ResultsMS/SD/SI mice weighed less at 7 and 8 weeks of age. These mice displayed normal behaviors in anxiety-, depression-, and learning/memory-related tasks, but they exhibited increased locomotor activity and a low level of repetitive/compulsive-like behavior. Notably, they exhibited increased social interaction, impaired empathy-related fear, reduced predator fear, and increased defensive aggressiveness.ConclusionSocial stress during childhood development resulted in behavioral alterations, and MS/SD/SI mice generated by mimicking child abuse or maltreatment showed unique abnormalities in social behaviors. MS/SD/SI mice might be useful not only to study the relationship between social stress and brain inflammation but also psychosocial behaviors observed in individuals with brain disorders, such as psychopaths.
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Branco, Tatiane, Daniella Jorge de Moura, Irenilza de Alencar Nääs, Nilsa Duarte da Silva Lima, Daniela Regina Klein, and Stanley Robson de Medeiros Oliveira. "The Sequential Behavior Pattern Analysis of Broiler Chickens Exposed to Heat Stress." AgriEngineering 3, no. 3 (June 25, 2021): 447–57. http://dx.doi.org/10.3390/agriengineering3030030.

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Broiler productivity is dependent on a range of variables; among them, the rearing environment is a significant factor for proper well-being and productivity. Behavior indicates the bird’s initial response to an adverse environment and is capable of providing an indicator of well-being in real-time. The present study aims to identify and characterize the sequential pattern of broilers’ behavior when exposed to thermoneutral conditions (TNZ) and thermal stress (HS) by constant heat. The research was carried out in a climatic chamber with 18 broilers under thermoneutral conditions and heat stress for three consecutive days (at three different ages). The behavior database was first analyzed using one-way ANOVA, Tukey test by age, and Boxplot graphs, and then the sequence of the behaviors was evaluated using the generalized sequential pattern (GSP) algorithm. We were able to predict behavioral patterns at the different temperatures assessed from the behavioral sequences. Birds in HS were prostrate, identified by the shorter behavioral sequence, such as the {Lying down, Eating} pattern, unlike TNZ ({Lying down, Walking, Drinking, Walking, Lying down}), which indicates a tendency to increase behaviors (feeding and locomotor activities) that guarantee the better welfare of the birds. The sequence of behaviors ‘Lying down’ followed by ‘Lying laterally’ occurred only in HS, which represents a stressful thermal environment for the bird. Using the pattern mining sequences approach, we were able to identify temporal relationships between thermal stress and broiler behavior, confirming the need for further studies on the use of temporal behavior sequences in environmental controllers.
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Kumar, R., V. Garg, and S. I. Marcus. "On supervisory control of sequential behaviors." IEEE Transactions on Automatic Control 37, no. 12 (1992): 1978–85. http://dx.doi.org/10.1109/9.182487.

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Chien, Yu-Hung, Chun-Kai Yao, and Yu-Han Chao. "Effects of Multidisciplinary Participatory Design Method on Students’ Engineering Design Process." Eng 1, no. 2 (October 10, 2020): 112–21. http://dx.doi.org/10.3390/eng1020007.

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This study took the ergonomics design course as an example to propose a design teaching model of multidisciplinary participatory design (MPD), and investigated the effects of this teaching model on the engineering design behavior of college students. We used lag behavior sequential analysis to compare the design behaviors of three student groups: a participatory design (PD) experimental group, an MPD experimental group, and a control group. The results of the study show that (1) students in the PD experimental group had 13 significant sequential engineering design behaviors, students in the MPD experimental group had 10, and students in the control group had only seven. The engineering design behaviors of the experimental groups were more diversified than those of the control group. (2) The three groups of students had a small number of significant design behavior transfers in the engineering design process, indicating that the students’ sequential design behaviors between two different design activities were insufficient. We concluded by detailing the pros and cons of using the MPD teaching model based on the results of this study, and hopefully by providing a reference for teaching engineering design.
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Wang, Bing-Yun, Yi-Chun Yen, and Yu Chin Cheng. "Specifying Internet of Things Behaviors in Behavior-Driven Development: Concurrency Enhancement and Tool Support." Applied Sciences 13, no. 2 (January 5, 2023): 787. http://dx.doi.org/10.3390/app13020787.

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The Internet of Things (IoT) systems are inherently distributed with many concurrent behaviors. In order to apply behavior-driven development (BDD), a proven agile practice of software development that brings many benefits, we must ensure that the specification of sequential and concurrent behaviors is supported at the specification level and that tool support is in place to execute the specification. This study proposes a minimal semantic enhancement to the Gherkin language, the most popular specification language in BDD, to distinguish sequential and concurrent behaviors. At the same time, a tool called concurrentSpec is developed to support the correct execution of specifications written in the enhanced Gherkin language. With two IoT examples involving both sequential and concurrent behaviors, it is shown that the enhanced Gherkin with concurrentSpec can correctly specify and execute the specifications, while the original Gherkin with existing tools is unable to do so. Hence, the contribution of this study is to eliminate a technical impediment for the IoT development community to adopt BDD and receive its benefits.
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Chen, Zhengxing, Magy Seif El Nasr, Alessandro Canossa, Jeremy Badler, Stefanie Tignor, and Randy Colvin. "Modeling Individual Differences through Frequent Pattern Mining on Role-Playing Game Actions." Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment 11, no. 5 (June 24, 2021): 2–7. http://dx.doi.org/10.1609/aiide.v11i5.12847.

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There has been much work on player modeling using game behavioral data collected. Many of the previous research projects that targeted this goal used aggregate game statistics as features to develop behavior models using both statistical and machine learning techniques. While existing methods have already led to interesting findings, we suspect that aggregated features discard valuable information such as temporal or sequential patterns, which may be important in deciphering information about decisionmaking, problem solving, or individual differences. Such sequential information is critical to analyze player behaviors especially in role-playing games (RPG) where players can face ample choices, experience different contexts, behave freely with individual propensities but possibly end up with similar aggregated statistics (e.g., levels, time spent). In this paper we intend to develop and apply a modeling technique that takes into consideration sequential patters to decipher individual differences in playing a Role Playing Game (RPG) game. Using an RPG with multiple affordances, we designed an experiment collecting granular in-game behaviors of 64 players. Using closed sequential pattern mining and logistic regression, we developed a model that uses gameplay action sequences to predict the real world characteristics, including gender, game play expertise and five personality traits (as defined by psychology). The results show that game expertise is a dominant factor that impacts in-game behaviors. The contribution of this paper is the algorithms we developed combined with a validation procedure to determine the reliability and validity of the results and the results themselves.
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Slate, John R., and Richard A. Saudargas. "Classroom Behaviors of LD, Seriously Emotionally Disturbed, and Average Children: A Sequential Analysis." Learning Disability Quarterly 10, no. 2 (May 1987): 125–34. http://dx.doi.org/10.2307/1510219.

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The regular classroom behaviors of LD, seriously emotionally disturbed, and average children were observed via a system that permitted sequential analysis of the data. A minimum of 80 minutes of classroom observational data was collected on each of 52 children. A lag sequential analysis was subsequently performed to determine regularities and differences in the sequential ordering of behaviors across time. The results revealed that the teachers behaved differentially toward the handicapped but not the average children. When the handicapped children were engaged in schoolwork, the teachers tended not to interact with them. However, when the handicapped students were not on task, the teachers tended to interact with them. These findings were not evident in the summary level analysis of the data. Lag sequential analysis appears to enhance our understanding of the organization of behavior within the classroom setting.
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Burridge, R. R., A. A. Rizzi, and D. E. Koditschek. "Sequential Composition of Dynamically Dexterous Robot Behaviors." International Journal of Robotics Research 18, no. 6 (June 1999): 534–55. http://dx.doi.org/10.1177/02783649922066385.

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Ruh, Nicolas, Richard P. Cooper, and Denis Mareschal. "Action selection in complex routinized sequential behaviors." Journal of Experimental Psychology: Human Perception and Performance 36, no. 4 (2010): 955–75. http://dx.doi.org/10.1037/a0017608.

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Dissertations / Theses on the topic "Sequential behaviors"

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Ma, Liya. "Coding of sequential behaviors by anterior cingulate cortex ensembles." Thesis, University of British Columbia, 2014. http://hdl.handle.net/2429/48442.

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The anterior cingulate cortex (ACC) has been implicated in a myriad of different functions. Converging evidence suggests that the ACC continuously monitors and evaluates actions and their consequences. Such functions are essential in representing action sequences which are the building blocks of all complex behaviors. This dissertation seeks to delineate how ACC neuronal ensembles represent different types of information with special emphasis on action sequences. Chapter 2 shows that the ACC ensembles represents different action sequences via unique activity patterns that change if the order of the actions are altered or if the locations of the actions is changed. Interestingly such shifts are achieved when overall levels of activity remain fixed. Chapter 3 reveals a very different arrangement in which progression through a sequence of actions towards a goal is associated with a change in the overall level of neural activity without a significant change in the patterns of activity. Specifically, ACC ensembles display a smooth progressive change in overall activity over three lever press actions that culminate in a reward. In contrast, the dorsal striatal (DS) ensembles recorded simultaneously from the same animals display fluctuations in activity level that are tightly linked to each action. Together these two chapters show that the ACC may use two different firing rate-related codes to convey categorical versus continuous forms of information. Chapter 4 provides a further examination of the mechanisms which allows the ACC ensembles to encode multiple types of categorical information. While the DS neurons encode both the sequence and the location of the levers in a somewhat synchronized fashion, ACC neurons encoded both of these types of information but kept them functionally segregated. As a result, even though ACC single neurons were no better than the DS in sequence decoding, sequence decoding by ACC ensembles was far superior to DS ensembles. The last chapter attempts to produce a unified theory of ACC function based on its coding properties. I will argue that the ACC monitors many aspects of experience while evaluating the current state with reference to a goal. Its multiple coding schemes efficiently serve both monitoring and evaluating functions.
Medicine, Faculty of
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Floehr, Sophia H. "Code-Mixing Behaviors of Sequential Spanish-English Bilingual Children: An Exploratory Study." Bowling Green State University / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1587140326261896.

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Hoffman, Mary Kathryn. "Physiochemical behaviors of radiocesium in a calciferous, post-detonation environment." University of Cincinnati / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1584015906269554.

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Taylor, Kendra C. "Sequential Auction Design and Participant Behavior." Diss., Georgia Institute of Technology, 2005. http://hdl.handle.net/1853/7250.

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This thesis studies the impact of sequential auction design on participant behavior from both a theoretical and an empirical viewpoint. In the first of the two analyses, three sequential auction designs are characterized and compared based on expected profitability to the participants. The optimal bid strategy is derived as well. One of the designs, the alternating design, is a new auction design and is a blend of the other two. It assumes that the ability to bid in or initiate an auction is given to each side of the market in an alternating fashion to simulate seasonal markets. The conditions for an equilibrium auction design are derived and characteristics of the equilibrium are outlined. The primary result is that the alternating auction is a viable compromise auction design when buyers and suppliers disagree on whether to hold a sequence of forward or reverse auctions. We also found the value of information on future private value for a strategic supplier in a two-period case of the alternating and reverse auction designs. The empirical work studies the cause of low aggregation of timber supply in reverse auctions of an online timber exchange. Unlike previous research results regarding timber auctions, which focus on offline public auctions held by the U.S. Forest Service, we study online private auctions between logging companies and mills. A limited survey of the online auction data revealed that the auctions were successful less than 50% of the time. Regression analysis is used to determine which internal and external factors to the auction affect the aggregation of timber in an effort to determine the reason that so few auctions succeeded. The analysis revealed that the number of bidders, the description of the good and the volume demanded had a significant influence on the amount of timber supplied through the online auction exchange. A plausible explanation for the low aggregation is that the exchange was better suited to check the availability for custom cuts of timber and to transact standard timber.
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Raffensperger, Peter Abraham. "Measuring and Influencing Sequential Joint Agent Behaviours." Thesis, University of Canterbury. Electrical and Computer Engineering, 2013. http://hdl.handle.net/10092/7472.

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Algorithmically designed reward functions can influence groups of learning agents toward measurable desired sequential joint behaviours. Influencing learning agents toward desirable behaviours is non-trivial due to the difficulties of assigning credit for global success to the deserving agents and of inducing coordination. Quantifying joint behaviours lets us identify global success by ranking some behaviours as more desirable than others. We propose a real-valued metric for turn-taking, demonstrating how to measure one sequential joint behaviour. We describe how to identify the presence of turn-taking in simulation results and we calculate the quantity of turn-taking that could be observed between independent random agents. We demonstrate our turn-taking metric by reinterpreting previous work on turn-taking in emergent communication and by analysing a recorded human conversation. Given a metric, we can explore the space of reward functions and identify those reward functions that result in global success in groups of learning agents. We describe 'medium access games' as a model for human and machine communication and we present simulation results for an extensive range of reward functions for pairs of Q-learning agents. We use the Nash equilibria of medium access games to develop predictors for determining which reward functions result in turn-taking. Having demonstrated the predictive power of Nash equilibria for turn-taking in medium access games, we focus on synthesis of reward functions for stochastic games that result in arbitrary desirable Nash equilibria. Our method constructs a reward function such that a particular joint behaviour is the unique Nash equilibrium of a stochastic game, provided that such a reward function exists. This method builds on techniques for designing rewards for Markov decision processes and for normal form games. We explain our reward design methods in detail and formally prove that they are correct.
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Farooqui, Ausaf Ahmed. "Fronto-parietal cortex in sequential behaviour." Thesis, University of Cambridge, 2012. https://www.repository.cam.ac.uk/handle/1810/243944.

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This dissertation investigates the fronto-parietal representation of the structure of organised mental episodes by studying its effect on the representation of cognitive events occurring at various positions within it. The experiments in chapter 2 look at the completion of hierarchically organized mental (task/subtask) episodes. Multiple identical target-detection events were organized into a sequential task episode, and the individual events were connected in a means-to-end relationship. It is shown that events that are conceptualized as completing defined task episodes elicit greater activity compared to identical events lying within the episode; the magnitude of the end of episode activity depended on the hierarchical abstraction of the episode. In chapter 3, the effect of ordinal position of the cognitive events, making up the task episode, on their representation is investigated in the context of a biphasic task episode. The design further manipulated the cognitive load of the two phases independently. This allowed for a direct comparison of the effect of phase vis-à-vis the effect of cognitive load. The results showed that fronto-parietal regions that increased their activity in response to cognitive load, also increased their activity for the later phases of the task episode, even though the cognitive load associated with the later phase was, arguably, lower than the previous phase. Chapter 4 investigates if the characteristics of the higher-level representations, like organization of task descriptions, have a causal role in determining the structure of the ensuing mental episode. Results show this to be true. They also confirm the results of earlier chapters in a different framework. Chapter 5 shows that the effect of episode structure is not limited to the elicited activity, but also affects the information content of the representation of the events composing the episode. Specifically, the information content in many regions of later steps is higher than that of earlier steps. Together, the results show widespread representation of the structure of organised mental episodes.
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Henderson, Stacee Lyn. "Sequential cattle and sheep grazing for Spotted Knapweed control." Thesis, Montana State University, 2008. http://etd.lib.montana.edu/etd/2008/henderson/HendersonS1208.pdf.

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Spotted knapweed (Centaurea stoebe L.) infests millions of hectares of native rangeland in North America. Spotted knapweed creates large monocultures, which decreases biodiversity, reduces livestock and wildlife forage, and increases surface water runoff and soil erosion. Sheep are an effective tool for controlling spotted knapweed and have been widely used on cattle ranches for weed control. However, cattle producers are concerned that sheep will over-utilize desirable graminoids. Therefore, research is needed to determine an effective grazing strategy using cattle and sheep that will adversely affect spotted knapweed, while minimizing over-use of desirable graminoids across the landscape. This 2-year study quantified graminoid and spotted knapweed utilization and diet composition and foraging behavior of cattle and sheep sequentially grazing spotted knapweed-infested rangeland in western Montana. Twenty-one Targhee yearling wethers and 9 Black Angus yearling cattle were used. Animals were randomly assigned to one of 3, 0.81-ha pastures that were grazed in either mid-June or mid-July (n=6 pastures). Cattle grazed each pasture for 7 days, immediately followed by sheep grazing for 7 days in each month. Analysis of covariance was used to determine differences in diets, relative preference indices, foraging behavior, and utilization between June and July for cattle and sheep to determine the optimal month for implementing prescribed sheep grazing. Relative utilization of spotted knapweed did not differ between June and July and averaged 61.5%. Graminoid utilization was moderate (<45%). Cattle preferred forbs in June, spotted knapweed and forbs in July, and avoided graminoids in July. Sheep avoided graminoids in June and July, preferred forbs in June, and showed no preference or avoidance of spotted knapweed. Cattle ranches with large spotted knapweed infestations can effectively use prescribed sheep grazing immediately following cattle grazing in June or July to achieve high levels of use on spotted knapweed, thus reducing viable seeds incorporated into the soil, while maintaining optimal utilization levels on desirable graminoids.
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Gautrais, Clément. "Signatures : detecting and characterizing complex recurrent behavior in sequential data." Thesis, Rennes 1, 2018. http://www.theses.fr/2018REN1S041/document.

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Cette thèse introduit un nouveau type de motif appelé signature. La signature segmente une séquence d'itemsets, afin de maximiser la taille de l'ensemble d'items qui apparaît dans tous les segments. La signature a été initialement introduite pour identifier les produits favoris d'un consommateur de supermarché à partir de son historique d'achat. L'originalité de la signature vient du fait qu'elle identifie les items récurrents qui 1) peuvent apparaître à différentes échelles temporelles, 2) peuvent avoir des occurrences irrégulières et 3) peuvent être rapidement compris par des analystes. Étant donné que les approches existantes en fouille de motifs n'ont pas ces 3 propriétés, nous avons introduit la signature. En comparant la signature avec les méthodes de l'état de l'art, nous avons montré que la signature est capable d'identifier de nouvelles régularités dans les données, tout en identifiant les régularités détectées par les méthodes existantes. Bien qu'initialement liée au domaine de la fouille de motifs, nous avons également lié le problème de la fouille de signatures au domaine de la segmentation de séquences. Nous avons ensuite défini différents algorithmes, utilisant des méthodes liées à la fouille de motifs et à la segmentation de séquences. Les signatures ont été utilisées pour analyser un large jeu de données issu d'un supermarché français. Une analyse qualitative des signatures calculées sur ces consommateurs réels a montré que les signatures sont capables d'identifier les produits favoris d'un consommateur. Les signatures ont également été capables de détecter et de caractériser l'attrition de consommateurs. Cette thèse définit également 2 extensions de la signature. La première extension est appelée la sky-signature. La sky-signature permet de présenter les items récurrents d'une séquence à différentes échelles de temps. La sky-signature peut être vue comme une manière efficace de résumer les signatures calculées à toutes les échelles de temps possibles. Les sky-signatures ont été utilisées pour analyser les discours de campagne des candidats à la présidentielle américaine de 2016. Les sky-signatures ont identifié les principaux thèmes de campagne de chaque candidat, ainsi que leur rythme de campagne. Cette analyse a également montré que les signatures peuvent être utilisées sur d'autres types de jeux de données. Cette thèse introduit également une deuxième extension de la signature, qui permet de calculer la signature qui correspond le plus aux données. Cette extension utilise une technique de sélection de modèle basée sur le principe de longueur de description minimale, communément utilisée en fouille de motifs. Cette extension a également été utilisée pour analyser des consommateurs de supermarché
Cette thèse introduit un nouveau type de motif appelé signature. La signature segmente une séquence d'itemsets, afin de maximiser la taille de l'ensemble d'items qui apparaît dans tous les segments. La signature a été initialement introduite pour identifier les produits favoris d'un consommateur de supermarché à partir de son historique d'achat. L'originalité de la signature vient du fait qu'elle identifie les items récurrents qui 1) peuvent apparaître à différentes échelles temporelles, 2) peuvent avoir des occurrences irrégulières et 3) peuvent être rapidement compris par des analystes. Étant donné que les approches existantes en fouille de motifs n'ont pas ces 3 propriétés, nous avons introduit la signature. En comparant la signature avec les méthodes de l'état de l'art, nous avons montré que la signature est capable d'identifier de nouvelles régularités dans les données, tout en identifiant les régularités détectées par les méthodes existantes. Bien qu'initialement liée au domaine de la fouille de motifs, nous avons également lié le problème de la fouille de signatures au domaine de la segmentation de séquences. Nous avons ensuite défini différents algorithmes, utilisant des méthodes liées à la fouille de motifs et à la segmentation de séquences. Les signatures ont été utilisées pour analyser un large jeu de données issu d'un supermarché français. Une analyse qualitative des signatures calculées sur ces consommateurs réels a montré que les signatures sont capables d'identifier les produits favoris d'un consommateur. Les signatures ont également été capables de détecter et de caractériser l'attrition de consommateurs. Cette thèse définit également 2 extensions de la signature. La première extension est appelée la sky-signature. La sky-signature permet de présenter les items récurrents d'une séquence à différentes échelles de temps. La sky-signature peut être vue comme une manière efficace de résumer les signatures calculées à toutes les échelles de temps possibles. Les sky-signatures ont été utilisées pour analyser les discours de campagne des candidats à la présidentielle américaine de 2016. Les sky-signatures ont identifié les principaux thèmes de campagne de chaque candidat, ainsi que leur rythme de campagne. Cette analyse a également montré que les signatures peuvent être utilisées sur d'autres types de jeux de données. Cette thèse introduit également une deuxième extension de la signature, qui permet de calculer la signature qui correspond le plus aux données. Cette extension utilise une technique de sélection de modèle basée sur le principe de longueur de description minimale, communément utilisée en fouille de motifs. Cette extension a également été utilisée pour analyser des consommateurs de supermarché
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Smith, Denise P. A. "The Basal Ganglia and Sequential Learning." Kent State University / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=kent1353430597.

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ISHII, Katsuya, Hiroaki TAKADA, Shinya HONDA, Hiroyuki TOMIYAMA, and Yuko HARA. "Function-Level Partitioning of Sequential Programs for Efficient Behavioral Synthesis." Institute of Electronics, Information and Communication Engineers, 2007. http://hdl.handle.net/2237/15031.

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Books on the topic "Sequential behaviors"

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John, Koperwas, ed. Behavior and sequential analyses. Thousand Oaks, Calif: Sage Publications, 2003.

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B, Fountain Stephen, ed. Animal cognition and sequential behavior: Behavioral, biological, and computational perspectives. Boston: Kluwer Academic Publishers, 2002.

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Fountain, Stephen B. Animal Cognition and Sequential Behavior: Behavioral, Biological, and Computational Perspectives. Boston, MA: Springer US, 2002.

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Fountain, Stephen B., Michael D. Bunsey, Joseph H. Danks, and Michael K. McBeath, eds. Animal Cognition and Sequential Behavior. Boston, MA: Springer US, 2002. http://dx.doi.org/10.1007/978-1-4615-0821-2.

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Gottman, John Mordechai. Sequential analysis: A guide for behavioral researchers. Cambridge [England]: Cambridge University Press, 1990.

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Ádám, András. The behaviour and simplicity of finite Moore automata. Budapest: Akadémiai Kiadó, 1996.

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Vicenç, Quera, ed. Sequential analysis and observational methods for the behavioral sciences. Cambridge: Cambridge University Press, 2011.

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Nowacek, Douglas Paul. Sound use, sequential behavior and ecology of foraging bottlenose dolphins, Tursiops truncatus. Cambridge, Mass: Massachusetts Institute of Technology, 1999.

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Otterlo, Martijn van. The logic of adaptive behavior: Knowledge representation and algorithms for adaptive sequential decision making under uncertainty in first-order and relational domains. Amsterdam: Ios Press, 2009.

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Otterlo, Martijn van. The logic of adaptive behavior: Knowledge representation and algorithms for adaptive sequential decision making under uncertainty in first-order and relational domains. Amsterdam: Ios Press, 2009.

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Book chapters on the topic "Sequential behaviors"

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Sakuma, Takuto, Kazuya Nishi, Shuhei J. Yamazaki, Koutarou D. Kimura, Sakiko Matsumoto, Ken Yoda, and Ichiro Takeuchi. "Finding Discriminative Animal Behaviors from Sequential Bio-Logging Trajectory Data." In Distributed, Ambient and Pervasive Interactions: Technologies and Contexts, 125–38. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-91131-1_10.

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Lopes, Gabriel A. D., Esmaeil Najafi, Subramanya P. Nageshrao, and Robert Babuška. "Learning Complex Behaviors via Sequential Composition and Passivity-Based Control." In Studies in Systems, Decision and Control, 53–74. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-26327-4_3.

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Şahin, Muhittin, Sinan Keskin, and Halil Yurdugül. "Sequential Analysis of Online Learning Behaviors According to E-Learning Readiness." In Cognition and Exploratory Learning in the Digital Age, 117–31. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-48190-2_7.

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Han, Suhwa, and Hyeon-Ah Kang. "Sequential Monitoring of Aberrant Test-Taking Behaviors Based on Response Times." In Springer Proceedings in Mathematics & Statistics, 69–80. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-74772-5_7.

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Lv, Fuyu, Mengxue Li, Tonglei Guo, Changlong Yu, Fei Sun, Taiwei Jin, and Wilfred Ng. "XDM: Improving Sequential Deep Matching with Unclicked User Behaviors for Recommender System." In Database Systems for Advanced Applications, 364–76. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-00129-1_31.

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Abe, Hidenao. "Analyzing User Behaviors Based on Temporal Patterns of Sequential Pattern Evaluation Indices on Twitter." In Lecture Notes in Computer Science, 177–88. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-25660-3_15.

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Li, Zhao, Chenyi Lei, Pengcheng Zou, Donghui Ding, Shichang Hu, Zehong Hu, Shouling Ji, and Jianliang Gao. "Attention with Long-Term Interval-Based Gated Recurrent Units for Modeling Sequential User Behaviors." In Database Systems for Advanced Applications, 663–70. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-59410-7_44.

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Venant, Rémi, Kshitij Sharma, Philippe Vidal, Pierre Dillenbourg, and Julien Broisin. "Using Sequential Pattern Mining to Explore Learners’ Behaviors and Evaluate Their Correlation with Performance in Inquiry-Based Learning." In Data Driven Approaches in Digital Education, 286–99. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-66610-5_21.

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Khyzha, Artem, and Ori Lahav. "Abstraction for Crash-Resilient Objects." In Programming Languages and Systems, 262–89. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-99336-8_10.

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AbstractWe study abstraction for crash-resilient concurrent objects using non-volatile memory (NVM). We develop a library-correctness criterion that is sound for ensuring contextual refinement in this setting, thus allowing clients to reason about library behaviors in terms of their abstract specifications, and library developers to verify their implementations against the specifications abstracting away from particular client programs. As a semantic foundation we employ a recent NVM model, called Persistent Sequential Consistency, and extend its language and operational semantics with useful specification constructs. The proposed correctness criterion accounts for NVM-related interactions between client and library code due to explicit persist instructions, and for calling policies enforced by libraries. We illustrate our approach on two implementations and specifications of simple persistent objects with different prototypical durability guarantees. Our results provide the first approach to formal compositional reasoning under NVM.
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Fountain, Stephen B., Douglas G. Wallace, and James D. Rowan. "The Organization of Sequential Behavior." In Animal Cognition and Sequential Behavior, 115–50. Boston, MA: Springer US, 2002. http://dx.doi.org/10.1007/978-1-4615-0821-2_6.

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Conference papers on the topic "Sequential behaviors"

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Rahman, Molla Hafizur, Michael Gashler, Charles Xie, and Zhenghui Sha. "Automatic Clustering of Sequential Design Behaviors." In ASME 2018 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/detc2018-86300.

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Design is essentially a decision-making process, and systems design decisions are sequentially made. In-depth understanding on human sequential decision-making patterns in design helps discover useful design heuristics to improve existing algorithms of computational design. In this paper, we develop a framework for clustering designers with similar sequential design patterns. We adopt the Function-Behavior-Structure based design process model to characterize designers’ action sequence logged by computer-aided design (CAD) software as a sequence of design process stages. Such a sequence reflects designers’ thinking and sequential decision making during the design process. Then, the Markov chain is used to quantify the transitions between design stages from which various clustering methods can be applied. Three different clustering methods are tested, including the K-means clustering, the hierarchical clustering and the network-based clustering. A verification approach based on variation of information is developed to evaluate the effectiveness of each method and to identify the clusters of designers who show strong behavioral similarities. The framework is applied in a solar energy systems design problem — energy-plus home design. The case study shows that the proposed framework can successfully cluster designers and identify their sequential decision-making similarities and dissimilarities. Our framework can support the studies on the correlation between potential factors (e.g., designers’ demographics) and certain design behavioral patterns, as well as the correlation between behavioral patterns and design quality to identify beneficial design heuristics.
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Yen, Show-Jane, Jia-Yuan Gu, and Yue-Shi Lee. "Mining Sequential Purchasing Behaviors from Customer Transaction Databases." In 2013 IEEE International Conference on Systems, Man and Cybernetics (SMC 2013). IEEE, 2013. http://dx.doi.org/10.1109/smc.2013.500.

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Hayes, Bradley, and Brian Scassellati. "Effective robot teammate behaviors for supporting sequential manipulation tasks." In 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE, 2015. http://dx.doi.org/10.1109/iros.2015.7354288.

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Cai, Renqin, Xueying Bai, Zhenrui Wang, Yuling Shi, Parikshit Sondhi, and Hongning Wang. "Modeling Sequential Online Interactive Behaviors with Temporal Point Process." In CIKM '18: The 27th ACM International Conference on Information and Knowledge Management. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3269206.3271782.

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Nguyen, Tuc, Linh Ngo, and Khoat Than. "Modeling the sequential behaviors of online users in recommender systems." In Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications II, edited by Tien Pham, Latasha Solomon, and Katie Rainey. SPIE, 2020. http://dx.doi.org/10.1117/12.2558475.

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Sun, Zhong. "Group Differences in Self-Regulation Behaviors: A Lag-Sequential Analysis." In 2020 AERA Annual Meeting. Washington DC: AERA, 2020. http://dx.doi.org/10.3102/1577677.

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Yuan, Fajie, Xiangnan He, Alexandros Karatzoglou, and Liguang Zhang. "Parameter-Efficient Transfer from Sequential Behaviors for User Modeling and Recommendation." In SIGIR '20: The 43rd International ACM SIGIR conference on research and development in Information Retrieval. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3397271.3401156.

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Liu, Qing-Shun, Lin Liu, Xiao Qin, and Wen Wei. "Effect of Alternative-set Information on Sequential Observation and Selection Behaviors." In 2014 International Conference on Management Science and Management Innovation (MSMI 2014). Paris, France: Atlantis Press, 2014. http://dx.doi.org/10.2991/msmi-14.2014.34.

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Pan, Bin, and Junyi Wang. "Collaborative Topic Regression Based on the Social Network and Sequential Behaviors." In 2017 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData). IEEE, 2017. http://dx.doi.org/10.1109/ithings-greencom-cpscom-smartdata.2017.175.

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Cheng, Mingyue, Fajie Yuan, Qi Liu, Xin Xin, and Enhong Chen. "Learning Transferable User Representations with Sequential Behaviors via Contrastive Pre-training." In 2021 IEEE International Conference on Data Mining (ICDM). IEEE, 2021. http://dx.doi.org/10.1109/icdm51629.2021.00015.

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Reports on the topic "Sequential behaviors"

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Arce, Eliécer, and Edgar A. Robles. Fiscal Rules and the Behavior of Public Investment in Costa Rica and Panama: Towards Growth-Friendly Fiscal Policy? Inter-American Development Bank, March 2021. http://dx.doi.org/10.18235/0003071.

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This paper aims to provide evidence on the effects of fiscal rules on public investment, fiscal results and growth in Costa Rica and Panama. First, we find that the budget formulation process and the political economy behind the adoption and compliance of fiscal rules explain that Panama has a bias to create and sequentially pile up rules, while Costa Rica has a tendency not to comply with them. Second, a retrospective analysis of the 2018 fiscal rules in both nations finds asymmetric effects on the fiscal results. In Panama it is difficult to separate the effect of fiscal rule designs on public investment; and, in Costa Rica, the application of the fiscal rule will decrease public investment, if the debt to GDP ratio exceeds 60 percent and current expenditure crowds out capital expenditure. Two lessons emerge. First, an effective fiscal rule compliance requires time consistent institutions, solid monitoring, enforcement schemes and improving the quality of public financial management systems. Second, it is necessary to review the design of fiscal rules in both countries to ensure they are investment and growth friendly.
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Tao, Yang, Amos Mizrach, Victor Alchanatis, Nachshon Shamir, and Tom Porter. Automated imaging broiler chicksexing for gender-specific and efficient production. United States Department of Agriculture, December 2014. http://dx.doi.org/10.32747/2014.7594391.bard.

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Extending the previous two years of research results (Mizarch, et al, 2012, Tao, 2011, 2012), the third year’s efforts in both Maryland and Israel were directed towards the engineering of the system. The activities included the robust chick handling and its conveyor system development, optical system improvement, online dynamic motion imaging of chicks, multi-image sequence optimal feather extraction and detection, and pattern recognition. Mechanical System Engineering The third model of the mechanical chick handling system with high-speed imaging system was built as shown in Fig. 1. This system has the improved chick holding cups and motion mechanisms that enable chicks to open wings through the view section. The mechanical system has achieved the speed of 4 chicks per second which exceeds the design specs of 3 chicks per second. In the center of the conveyor, a high-speed camera with UV sensitive optical system, shown in Fig.2, was installed that captures chick images at multiple frames (45 images and system selectable) when the chick passing through the view area. Through intensive discussions and efforts, the PIs of Maryland and ARO have created the protocol of joint hardware and software that uses sequential images of chick in its fall motion to capture opening wings and extract the optimal opening positions. This approached enables the reliable feather feature extraction in dynamic motion and pattern recognition. Improving of Chick Wing Deployment The mechanical system for chick conveying and especially the section that cause chicks to deploy their wings wide open under the fast video camera and the UV light was investigated along the third study year. As a natural behavior, chicks tend to deploy their wings as a mean of balancing their body when a sudden change in the vertical movement was applied. In the latest two years, this was achieved by causing the chicks to move in a free fall, in the earth gravity (g) along short vertical distance. The chicks have always tended to deploy their wing but not always in wide horizontal open situation. Such position is requested in order to get successful image under the video camera. Besides, the cells with checks bumped suddenly at the end of the free falling path. That caused the chicks legs to collapse inside the cells and the image of wing become bluer. For improving the movement and preventing the chick legs from collapsing, a slowing down mechanism was design and tested. This was done by installing of plastic block, that was printed in a predesign variable slope (Fig. 3) at the end of the path of falling cells (Fig.4). The cells are moving down in variable velocity according the block slope and achieve zero velocity at the end of the path. The slop was design in a way that the deacceleration become 0.8g instead the free fall gravity (g) without presence of the block. The tests showed better deployment and wider chick's wing opening as well as better balance along the movement. Design of additional sizes of block slops is under investigation. Slops that create accelerations of 0.7g, 0.9g, and variable accelerations are designed for improving movement path and images.
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Landau, Sergei Yan, John W. Walker, Avi Perevolotsky, Eugene D. Ungar, Butch Taylor, and Daniel Waldron. Goats for maximal efficacy of brush control. United States Department of Agriculture, March 2008. http://dx.doi.org/10.32747/2008.7587731.bard.

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Background. Brush encroachment constitutes a serious problem in both Texas and Israel. We addressed the issue of efficacy of livestock herbivory - in the form of goat browsing - to change the ecological balance to the detriment of the shrub vegetation. Shrub consumption by goats is kept low by plant chemical defenses such as tannins and terpenes. Scientists at TAES and ARO have developed an innovative, cost-effective methodology using fecal Near Infrared Spectrometry to elucidate the dietary percentage of targeted, browse species (terpene-richredberry and blueberry juniper in the US, and tannin-rich Pistacialentiscus in Israel) for a large number of animals. The original research objectives of this project were: 1. to clarify the relative preference of goat breeds and the individual variation of goats within breeds, when consuming targeted brush species; 2. to assess the heritability of browse intake and validate the concept of breeding goat lines that exhibit high preference for chemically defended brush, using juniper as a model; 3. to clarify the relative contributions of genetics and learning on the preference for target species; 4. to identify mechanisms that are associated with greater intake of brush from the two target species; 5. to establish when the target species are the most vulnerable to grazing. (Issue no.5 was addressed only partly.) Major conclusions, solutions, achievements: Both the Israel and US scientists put significant efforts into improving and validating the technique of Fecal NIRS for predicting the botanical composition of goat diets. Israeli scientists validated the use of observational data for calibrating fecal NIRS, while US scientists established that calibrations could be used across animals differing in breed and age but that caution should be used in making comparisons between different sexes. These findings are important because the ability to select goat breeds or individuals within a breed for maximal efficiency of brush control is dependent upon accurate measurement of the botanical composition of the diet. In Israel it was found that Damascus goats consume diets more than twice richer in P. lentiscus than Mamber or Boer goats. In the US no differences were found between Angora and Boer cross goats but significant differences were found between individuals within breeds in juniper dietary percentage. In both countries, intervention strategies were found that further increased the consumption of the chemically defended plant. In Israel feeding polyethylene glycol (PEG, MW 4,000) that forms high-affinity complexes with tannins increased P. lentiscus dietary percentage an average of 7 percentage units. In the US feeding a protein supplement, which enhances rates of P450-catalyzed oxidations and therefore the rate of oxidation of monoterpenes, increased juniper consumption 5 percentage units. However, the effects of these interventions were not as large as breed or individual animal effects. Also, in a wide array of competitive tannin-binding assays in Israel with trypsin, salivary proteins did not bind more tannic acid or quebracho tannin than non-specific bovine serum albumin, parotid saliva did not bind more tannins than mixed saliva, no response of tannin-binding was found to levels of dietary tannins, and the breed effect was of minor importance, if any. These fundings strongly suggest that salivary proteins are not the first line of defense from tannin astringency in goats. In the US relatively low values for heritability and repeatability for juniper consumption were found (13% and 30%, respectively), possibly resulting from sampling error or non-genetic transfer of foraging behavior, i.e., social learning. Both alternatives seem to be true as significant variation between sequential observations were noted on the same animal and cross fostering studies conducted in Israel demonstrated that kids raised by Mamber goats showed lower propensity to consume P. lentiscus than counterparts raised by Damascus goats.
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FINITE ELEMENT SIMULATION FOR ULTRA-HIGH-PERFORMANCE CONCRETE-FILLED DOUBLE-SKIN TUBES EXPOSED TO FIRE. The Hong Kong Institute of Steel Construction, August 2022. http://dx.doi.org/10.18057/icass2020.p.263.

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Ultra-high-performance concrete (UHPC) or ultra-high-strength concrete (UHSC) are alternatively used to reduce construction materials, thereby achieving more sustainable constructions. Moreover, engaging the advantages of concrete cores and outer steel tubes in concrete-filled steel tubes (CFST) or ductile concrete-filled double-skin tubes (CFDST) is of great interest for the better performance of such members under fire. Nevertheless, current design provisions do not provide design models for UHPC-filled double-skin tubes under fire, and existing finite-element (FE) methodologies available in the literature may not accurately simulate the behaviour of CFDST exposed to fire. Therefore, this paper develops a comprehensive FE protocol implementing the scripting technique to model CFDST members for heat transfer and coupled (simultaneously or sequentially) thermal-stress analyses. Various modelling parameters incorporated in the proposed FE routine include the cross-sectional geometry (circular, elliptical, hexagonal, octagonal, and rectangular), the size (width, diameter, and wall thickness), interactions, meshing, thermal- and mechanical-material properties, and boundary conditions. The detailed algorithm for heat transfer analysis is presented and elaborated via a flow chart. Validations, verifications, and robustness of the developed FE models are established based on extensive comparison studies with existing fire tests available in the literature. As a result, and to recognize the value of the current FE methodology, an extensive parametric study is conducted for different affecting parameters (e.g., nominal steel ratio, hollowness ratio, concrete cylindrical strength, yield strength of metal tubes, and width-to-thickness ratio). Extensive FE results are used for optimizing the fire design of such members. Consequently, a simplified and accurate analytical model that can provide the axial load capacity of CFDST columns under different fire ratings is presented
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