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Journal articles on the topic 'Structured Environments'

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Author: Grafiati

Published: 10 December 2022

Last updated: 29 January 2023

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1

WHITTLE, B. R., R. J. GAUTIER, and M. RATCLIFFE. "TRENDS IN STRUCTURE-ORIENTED ENVIRONMENTS." International Journal of Software Engineering and Knowledge Engineering 04, no. 01 (March 1994): 123–57. http://dx.doi.org/10.1142/s0218194094000076.

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The term Structure Editor (structured environment, structure-oriented environment) is widely used and has been defined, and redefined, many times since the first recognised structure editor, Emily [51]. This paper follows the trends in this field over the last decade in the following areas: environment parameters, environment architectures, tools and the uses of environments, textual manipulation, internal (structure) representation, conceptual programming with its knowledge-based tools, and environment evaluation. The paper contains an historical perspective of technological events shaping this field and concludes with a unifying summary.

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2

Girdzijauskas, Šarūnas, Anwitaman Datta, and Karl Aberer. "Structured overlay for heterogeneous environments." ACM Transactions on Autonomous and Adaptive Systems 5, no. 1 (February 2010): 1–25. http://dx.doi.org/10.1145/1671948.1671950.

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3

Althaus, Philipp, and Henrik I. Christensen. "Behavior coordination in structured environments." Advanced Robotics 17, no. 7 (January 2003): 657–74. http://dx.doi.org/10.1163/156855303769157009.

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4

Berrada, K. "Quantum speedup in structured environments." Physica E: Low-dimensional Systems and Nanostructures 95 (January 2018): 6–10. http://dx.doi.org/10.1016/j.physe.2017.08.020.

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GRIMSON, ROGER C., and NEAL ODEN. "DISEASE CLUSTERS IN STRUCTURED ENVIRONMENTS." Statistics in Medicine 15, no. 7-9 (April 15, 1996): 851–71. http://dx.doi.org/10.1002/(sici)1097-0258(19960415)15:7/9<851::aid-sim255>3.0.co;2-4.

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6

Mikkelsen, Kurt V. "CORRELATED ELECTRONIC STRUCTURE NONLINEAR RESPONSE METHODS FOR STRUCTURED ENVIRONMENTS." Annual Review of Physical Chemistry 57, no. 1 (May 2006): 365–402. http://dx.doi.org/10.1146/annurev.physchem.57.032905.104740.

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7

Al-Khulaidi, Rami, Rini Akmeliawati, Steven Grainger, and Tien-Fu Lu. "Structural Optimisation and Design of a Cable-Driven Hyper-Redundant Manipulator for Confined Semi-Structured Environments." Sensors 22, no. 22 (November 9, 2022): 8632. http://dx.doi.org/10.3390/s22228632.

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Structural optimisation of robotic manipulators is critical for any manipulator used in confined semi-structured environments, such as in agriculture. Many robotic manipulators utilised in semi-structured environments retain the same characteristics and dimensions as those used in fully-structured industrial environments, which have been proven to experience low dexterity and singularity issues in challenging environments due to their structural limitations. When implemented in environments other than fully-structured industrial environments, conventional manipulators are liable to singularity, joint limits and workspace obstacles. This makes them inapplicable in confined semi-structured environments, as they lack the flexibility to operate dexterously in such challenging environments. In this paper, structural optimisation of a hyper-redundant cable-driven manipulator is proposed to improve its performance in semi-structured and challenging confined spaces, such as in agricultural settings. The optimisation of the manipulator design is performed in terms of its manipulability and kinematics. The lengths of the links and the joint angles are optimised to minimise any error between the actual and desired position/orientation of the end-effector in a confined semi-structured task space, as well as to provide optimal flexibility for the manipulators to generate different joint configurations for obstacle avoidance in confined environments. The results of the optimisation suggest that the use of a redundant manipulator with rigid short links can result in performance with higher dexterity in confined, semi-structured environments, such as agricultural greenhouses.

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Ursell, Tristan. "Structured environments foster competitor coexistence by manipulating interspecies interfaces." PLOS Computational Biology 17, no. 1 (January 7, 2021): e1007762. http://dx.doi.org/10.1371/journal.pcbi.1007762.

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Natural environments, like soils or the mammalian gut, frequently contain microbial consortia competing within a niche, wherein many species contain genetically encoded mechanisms of interspecies competition. Recent computational work suggests that physical structures in the environment can stabilize local competition between species that would otherwise be subject to competitive exclusion under isotropic conditions. Here we employ Lotka-Volterra models to show that interfacial competition localizes to physical structures, stabilizing competitive ecological networks of many species, even with significant differences in the strength of competitive interactions between species. Within a limited range of parameter space, we show that for stable communities the length-scale of physical structure inversely correlates with the width of the distribution of competitive fitness, such that physical environments with finer structure can sustain a broader spectrum of interspecific competition. These results highlight the potentially stabilizing effects of physical structure on microbial communities and lay groundwork for engineering structures that stabilize and/or select for diverse communities of ecological, medical, or industrial utility.

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Ursell, Tristan. "Structured environments foster competitor coexistence by manipulating interspecies interfaces." PLOS Computational Biology 17, no. 1 (January 7, 2021): e1007762. http://dx.doi.org/10.1371/journal.pcbi.1007762.

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Natural environments, like soils or the mammalian gut, frequently contain microbial consortia competing within a niche, wherein many species contain genetically encoded mechanisms of interspecies competition. Recent computational work suggests that physical structures in the environment can stabilize local competition between species that would otherwise be subject to competitive exclusion under isotropic conditions. Here we employ Lotka-Volterra models to show that interfacial competition localizes to physical structures, stabilizing competitive ecological networks of many species, even with significant differences in the strength of competitive interactions between species. Within a limited range of parameter space, we show that for stable communities the length-scale of physical structure inversely correlates with the width of the distribution of competitive fitness, such that physical environments with finer structure can sustain a broader spectrum of interspecific competition. These results highlight the potentially stabilizing effects of physical structure on microbial communities and lay groundwork for engineering structures that stabilize and/or select for diverse communities of ecological, medical, or industrial utility.

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10

Débarre, Florence. "Fitness costs in spatially structured environments." Evolution 69, no. 5 (April 27, 2015): 1329–35. http://dx.doi.org/10.1111/evo.12646.

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11

Heelis, R. A., and J. F. Vickrey. "Energy dissipation in structured electrodynamic environments." Journal of Geophysical Research: Space Physics 96, A8 (August 1, 1991): 14189–94. http://dx.doi.org/10.1029/91ja01262.

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12

Boswell, Graeme P. "Modelling mycelial networks in structured environments." Mycological Research 112, no. 9 (September 2008): 1015–25. http://dx.doi.org/10.1016/j.mycres.2008.02.006.

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13

Vallespir Lowery, Nick, and Tristan Ursell. "Structured environments fundamentally alter dynamics and stability of ecological communities." Proceedings of the National Academy of Sciences 116, no. 2 (December 28, 2018): 379–88. http://dx.doi.org/10.1073/pnas.1811887116.

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The dynamics and stability of ecological communities are intimately linked with the specific interactions—like cooperation or predation—between constituent species. In microbial communities, like those found in soils or the mammalian gut, physical anisotropies produced by fluid flow and chemical gradients impact community structure and ecological dynamics, even in structurally isotropic environments. Although natural communities existing in physically unstructured environments are rare, the role of environmental structure in determining community dynamics and stability remains poorly studied. To address this gap, we used modified Lotka−Volterra simulations of competitive microbial communities to characterize the effects of surface structure on community dynamics. We find that environmental structure has profound effects on communities, in a manner dependent on the specific pattern of interactions between community members. For two mutually competing species, eventual extinction of one competitor is effectively guaranteed in isotropic environments. However, addition of environmental structure enables long-term coexistence of both species via local “pinning” of competition interfaces, even when one species has a significant competitive advantage. In contrast, while three species competing in an intransitive loop (as in a game of rock−paper−scissors) coexist stably in isotropic environments, structural anisotropy disrupts the spatial patterns on which coexistence depends, causing chaotic population fluctuations and subsequent extinction cascades. These results indicate that the stability of microbial communities strongly depends on the structural environment in which they reside. Therefore, a more complete ecological understanding, including effective manipulation and interventions in natural communities of interest, must account for the physical structure of the environment.

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Saxer, Gerda, Michael Doebeli, and Michael Travisano. "Spatial structure leads to ecological breakdown and loss of diversity." Proceedings of the Royal Society B: Biological Sciences 276, no. 1664 (March 4, 2009): 2065–70. http://dx.doi.org/10.1098/rspb.2008.1827.

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Spatial structure has been identified as a major contributor to the maintenance of diversity. Here, we show that the impact of spatial structure on diversity is strongly affected by the ecological mechanisms maintaining diversity. In well-mixed, unstructured environments, microbial populations can diversify by production of metabolites during growth, providing additional resources for novel specialists. By contrast, spatially structured environments potentially limit such facilitation due to reduced metabolite diffusion. Using replicate microcosms containing the bacterium Escherichia coli , we predicted the loss of diversity during an environmental shift from a spatially unstructured environment to spatially structured conditions. Although spatial structure is frequently observed to be a major promoter of diversity, our results indicate that it can also have negative impacts on diversity.

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Katz, Yarden, and Michael Springer. "Probabilistic adaptation in changing microbial environments." PeerJ 4 (December 14, 2016): e2716. http://dx.doi.org/10.7717/peerj.2716.

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Microbes growing in animal host environments face fluctuations that have elements of both randomness and predictability. In the mammalian gut, fluctuations in nutrient levels and other physiological parameters are structured by the host’s behavior, diet, health and microbiota composition. Microbial cells that can anticipate environmental fluctuations by exploiting this structure would likely gain a fitness advantage (by adapting their internal state in advance). We propose that the problem of adaptive growth in structured changing environments, such as the gut, can be viewed as probabilistic inference. We analyze environments that are “meta-changing”: where there are changes in the way the environment fluctuates, governed by a mechanism unobservable to cells. We develop a dynamic Bayesian model of these environments and show that a real-time inference algorithm (particle filtering) for this model can be used as a microbial growth strategy implementable in molecular circuits. The growth strategy suggested by our model outperforms heuristic strategies, and points to a class of algorithms that could support real-time probabilistic inference in natural or synthetic cellular circuits.

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Davis, Jason P., Kathleen M. Eisenhardt, and Christopher B. Bingham. "Optimal Structure, Market Dynamism, and the Strategy of Simple Rules." Administrative Science Quarterly 54, no. 3 (September 2009): 413–52. http://dx.doi.org/10.2189/asqu.2009.54.3.413.

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Using computational and mathematical modeling, this study explores the tension between too little and too much structure that is shaped by the core tradeoff between efficiency and flexibility in dynamic environments. Our aim is to develop a more precise theory of the fundamental relationships among structure, performance, and environment. We find that the structure-performance relationship is unexpectedly asymmetric, in that it is better to err on the side of too much structure, and that different environmental dynamism dimensions (i.e., velocity, complexity, ambiguity, and unpredictability) have unique effects on performance. Increasing unpredictability decreases optimal structure and narrows its range from a wide to a narrow set of effective strategies. We also find that a strategy of simple rules, which combines improvisation with low-to-moderately structured rules to execute a variety of opportunities, is viable in many environments but essential in some. This sharpens the boundary condition between the strategic logics of positioning and opportunity. And juxtaposing the structural challenges of adaptation for entrepreneurial vs. established organizations, we find that entrepreneurial organizations should quickly add structure in all environments, while established organizations are better off seeking predictable environments unless they can devote sufficient attention to managing a dissipative equilibrium of structure (i.e., edge of chaos) in unpredictable environments.

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17

Conrath, D. W., A. R. Montazemi, and C. A. Higgins. "Evaluating Information in Ill-Structured Decision Environments." Journal of the Operational Research Society 38, no. 5 (May 1987): 375. http://dx.doi.org/10.2307/2582727.

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18

Hu, Hao, Xiao Lin, and Yu Luo. "FREE-ELECTRON RADIATION ENGINEERING VIA STRUCTURED ENVIRONMENTS." Progress In Electromagnetics Research 171 (2021): 75–88. http://dx.doi.org/10.2528/pier21081303.

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Conrath, D. W., A. R. Montazemi, and C. A. Higgins. "Evaluating Information in Ill-Structured Decision Environments." Journal of the Operational Research Society 38, no. 5 (May 1987): 375–85. http://dx.doi.org/10.1057/jors.1987.66.

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20

Benaïm, Michel, and Sebastian J. Schreiber. "Persistence of structured populations in random environments." Theoretical Population Biology 76, no. 1 (August 2009): 19–34. http://dx.doi.org/10.1016/j.tpb.2009.03.007.

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21

de la Puente, P., and D. Rodriguez-Losada. "Feature based graph-SLAM in structured environments." Autonomous Robots 37, no. 3 (February 12, 2014): 243–60. http://dx.doi.org/10.1007/s10514-014-9386-z.

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22

Purse, B. W., and J. Rebek. "Functional cavitands: Chemical reactivity in structured environments." Proceedings of the National Academy of Sciences 102, no. 31 (July 25, 2005): 10777–82. http://dx.doi.org/10.1073/pnas.0501731102.

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23

Ribas, David, Pere Ridao, Juan Domingo Tardós, and José Neira. "Underwater SLAM in man-made structured environments." Journal of Field Robotics 25, no. 11-12 (November 2008): 898–921. http://dx.doi.org/10.1002/rob.20249.

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24

Li, Dongdong, Zhenxiang Xu, Riliang Gu, Pingxi Wang, Jialiang Xu, Dengxiang Du, Junjie Fu, Jianhua Wang, Hongwei Zhang, and Guoying Wang. "Genomic Prediction across Structured Hybrid Populations and Environments in Maize." Plants 10, no. 6 (June 9, 2021): 1174. http://dx.doi.org/10.3390/plants10061174.

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Genomic prediction (GP) across different populations and environments should be enhanced to increase the efficiency of crop breeding. In this study, four populations were constructed and genotyped with DNA chips containing 55,000 SNPs. These populations were testcrossed to a common tester, generating four hybrid populations. Yields of the four hybrid populations were evaluated in three environments. We demonstrated by using real data that the prediction accuracies of GP across structured hybrid populations were lower than those of within-population GP. Including relatives of the validation population in the training population could increase the prediction accuracies of GP across structured hybrid populations drastically. G × E models (including main and genotype-by-environment effect) had better performance than single environment (within environment) and across environment (including only main effect) GP models in the structured hybrid population, especially in the environment where yields had higher heritability. GP by implementing G × E models in two cross-validation schemes indicated that, to increase the prediction accuracy of a new hybrid line, it would be better to field-test the hybrid line in at least one environment. Our results would be helpful for designing training population and planning field testing in hybrid breeding.

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25

Hutter, Marcus. "Feature Reinforcement Learning: Part II. Structured MDPs." Journal of Artificial General Intelligence 12, no. 1 (January 1, 2021): 71–86. http://dx.doi.org/10.2478/jagi-2021-0003.

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Abstract The Feature Markov Decision Processes ( MDPs) model developed in Part I (Hutter, 2009b) is well-suited for learning agents in general environments. Nevertheless, unstructured (Φ)MDPs are limited to relatively simple environments. Structured MDPs like Dynamic Bayesian Networks (DBNs) are used for large-scale real-world problems. In this article I extend ΦMDP to ΦDBN. The primary contribution is to derive a cost criterion that allows to automatically extract the most relevant features from the environment, leading to the “best” DBN representation. I discuss all building blocks required for a complete general learning algorithm, and compare the novel ΦDBN model to the prevalent POMDP approach.

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Matsebe, Oduetse, Khumbulani Mpofu, John Terhile Agee, and Sesan Peter Ayodeji. "Corner features extraction: underwater SLAM in structured environments." Journal of Engineering, Design and Technology 13, no. 4 (October 5, 2015): 556–69. http://dx.doi.org/10.1108/jedt-04-2013-0025.

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Purpose – The purpose of this paper is to present a method to extract corner features for map building purposes in man-made structured underwater environments using the sliding-window technique. Design/methodology/approach – The sliding-window technique is used to extract corner features, and Mechanically Scanned Imaging Sonar (MSIS) is used to scan the environment for map building purposes. The tests were performed with real data collected in a swimming pool. Findings – The change in application environment and the use of MSIS present some important differences, which must be taken into account when dealing with acoustic data. These include motion-induced distortions, continuous data flow, low scan frequency and high noise levels. Only part of the data stored in each scan sector is important for feature extraction; therefore, a segmentation process is necessary to extract more significant information. To deal with continuous flow of data, data must be separated into 360° scan sectors. Although the vehicle is assumed to be static, there is a drift in both its rotational and translational motions because of currents in the water; these drifts induce distortions in acoustic images. Therefore, the bearing information and the current vehicle pose corresponding to the selected scan-lines must be stored and used to compensate for motion-induced distortions in the acoustic images. As the data received is very noisy, an averaging filter should be applied to achieve an even distribution of data points, although this is partly achieved through the segmentation process. On the selected sliding window, all the point pairs must pass the distance and angle tests before a corner can be initialised. This minimises mapping of outlier data points but can make the algorithm computationally expensive if the selected window is too wide. The results show the viability of this procedure under very noisy data. The technique has been applied to 50 data sets/scans sectors with a success rate of 83 per cent. Research limitations/implications – MSIS gives very noisy data. There are limited sensorial modes for underwater applications. Practical implications – The extraction of corner features in structured man-made underwater environments opens the door for SLAM systems to a wide range of applications and environments. Originality/value – A method to extract corner features for map building purposes in man-made structured underwater environments is presented using the sliding-window technique.

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27

Schröder, Judith, Susanne Moebus, and Julita Skodra. "Selected Research Issues of Urban Public Health." International Journal of Environmental Research and Public Health 19, no. 9 (May 3, 2022): 5553. http://dx.doi.org/10.3390/ijerph19095553.

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Health is created within the urban settings of people’s everyday lives. In this paper we define Urban Public Health and compile existing evidence regarding the spatial component of health and disease in urban environments. Although there is already a substantial body of single evidence on the links between urban environments and human health, focus is mostly on individual health behaviors. We look at Urban Public Health through a structural lens that addresses health conditions beyond individual health behaviors and identify not only health risks but also health resources associated with urban structures. Based on existing conceptual frameworks, we structured evidence in the following categories: (i) build and natural environment, (ii) social environment, (iii) governance and urban development. We focused our search to review articles and reviews of reviews for each of the keywords via database PubMed, Cochrane, and Google Scholar in order to cover the range of issues in urban environments. Our results show that linking findings from different disciplines and developing spatial thinking can overcome existing single evidence and make other correlations visible. Further research should use interdisciplinary approaches and focus on health resources and the transformation of urban structures rather than merely on health risks and behavior.

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Neill, Connor, Sehoya Cotner, Michelle Driessen, and Cissy J. Ballen. "Structured learning environments are required to promote equitable participation." Chemistry Education Research and Practice 20, no. 1 (2019): 197–203. http://dx.doi.org/10.1039/c8rp00169c.

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It is critical that we understand and address features of learning environments that encumber students historically underrepresented in STEM fields. Here we consider social elements of group work that can either support or impede learning. We tracked gender-bias in student–teaching assistant (TA) interactions in 184 small groups across 27 introductory chemistry laboratories in fall 2017. We demonstrate that in some environments male students interacted with TAs disproportionately more than female students. To promote verbal participation of women in introductory chemistry courses, we advocate for improved TA training programs that teach a host of equitable teaching strategies to enhance the climate of the classrooms and consequently, improve learning. Fostering a structured, inclusive classroom environment is the first step towards achieving equity more broadly across STEM.

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Al-Seghayer, Khalid. "Effects of Electronic Reading Environments’ Structure on L2 Reading Comprehension." English Language Teaching 10, no. 12 (November 7, 2017): 88. http://dx.doi.org/10.5539/elt.v10n12p88.

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This study examines the effects of an electronic reading environment’s structure on second language (L2) reading comprehension. In particular, this study explores whether clarifying the underlying structure of an electronic text, along with the ways in which its units or nodes are organized and interrelated results in better comprehension as well as whether L2 reading proficiency affects the comprehension of electronic text. In this study, 40 English as a second language (ESL) learners, grouped into proficient and less-proficient groups based on their scores on the Test of English as a Foreign Language’s (TOEFL’s) Reading section, were asked to read two electronic texts using computerized programs classified as either “well structured” or “less structured.” To assess the efficacy of each type of reading environment, two tests—a multiple-choice test and a mapping of main ideas and details (MOMID) test—were developed and administered to the participants after they read each text. The results of these tests were analyzed using a paired-samples t-test and a two-way (proficiency level by computerized reading program) mixed-model analysis of variance (ANOVA). The findings revealed that well-structured electronic texts can aid ESL readers in developing a more coherent mental representation of the electronic texts’ content, thereby increasing their reading comprehension. Furthermore, well-structured electronic texts are more helpful for less-proficient readers than for more-proficient readers. These findings have significant pedagogical and technological implications for L2 reading instructors and instructional designers.

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30

Xu, Lin. "Durability Design of Concrete Structures in Severe Environments." Key Engineering Materials 629-630 (October 2014): 218–22. http://dx.doi.org/10.4028/www.scientific.net/kem.629-630.218.

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Concrete has a high performance corrosion resistance, with the choice of the thickness of the active alkali aggregate,grain shape structured,well-graded,small porosity. Superfine cement with mineral powder instead of 30% to 50%, mineral superfine powder participate hydration, solve concrete interface structure Ca (OH)2enrichment and directional crystallization problems, improve the coagulation. The internal structure of the soil, improving the strength and density of concrete. Meanwhile ultra-fine powder mixed with minerals, reducing the C3A content in the powder and the concrete in the late ettringite hazards greatly. Improve the corrosion resistance of concrete, with also improve the internal structure of concrete and the strength of concrete, compactness and corrosion resistance. Composite type superplasticizer, reducing water consumption unilateral concrete, air-entraining agent is added to improve the density of concrete, the concrete has good impermeability and frost resistance. On the use of ordinary portland cement, it gets high performance, by the ratio test, developed the corrosion and frost resistance of concrete for the chloride, sulfate alone or jointly under the action of the environment concrete structures in corrosive environments, such as coastal areas, inland lakes, underground sewage or chemical zones, there are concrete structure durability requirements, with good economic and promotional value.

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Peña, César, Cristhian Riaño, and Gonzalo Moreno. "RobotGreen. A Teleoperated Agricultural Robot for Structured Environments." journal of Engineering Science and Technology Review 11, no. 6 (December 2018): 145–55. http://dx.doi.org/10.25103/jestr.112.18.

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Peña, César, Cristhian Riaño, and Gonzalo Moreno. "RobotGreen. A Teleoperated Agricultural Robot for Structured Environments." journal of Engineering Science and Technology Review 11, no. 6 (December 2018): 145–55. http://dx.doi.org/10.25103/jestr.116.18.

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Peña, César, Cristhian Riaño, and Gonzalo Moreno. "RobotGreen: A Teleoperated Agricultural Robot for Structured environments." Journal of Engineering Science and Technology Review 12, no. 1 (February 2019): 87–98. http://dx.doi.org/10.25103/jestr.121.10.

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G. Hallam, Thomas, and Qingping Deng. "Simulation of structured populations in chemically stressed environments." Mathematical Biosciences and Engineering 3, no. 1 (2006): 51–65. http://dx.doi.org/10.3934/mbe.2006.3.51.

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Linz, H., O. Krause, H. Beuther, Th Henning, R. Klein, M. Nielbock, B. Stecklum, J. Steinacker, and A. Stutz. "The structured environments of embedded star-forming cores." Astronomy and Astrophysics 518 (July 2010): L123. http://dx.doi.org/10.1051/0004-6361/201014669.

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Yang, Shichao, and Sebastian Scherer. "Monocular Object and Plane SLAM in Structured Environments." IEEE Robotics and Automation Letters 4, no. 4 (October 2019): 3145–52. http://dx.doi.org/10.1109/lra.2019.2924848.

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Pete, A., K. R. Pattipati, and D. L. Kleinman. "Optimization of decision networks in structured task environments." IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans 26, no. 6 (1996): 739–48. http://dx.doi.org/10.1109/3468.541334.

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Vigorito, Christopher M., and Andrew G. Barto. "Intrinsically Motivated Hierarchical Skill Learning in Structured Environments." IEEE Transactions on Autonomous Mental Development 2, no. 2 (June 2010): 132–43. http://dx.doi.org/10.1109/tamd.2010.2050205.

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Telford, R. J., and H. J. B. Birks. "Evaluation of transfer functions in spatially structured environments." Quaternary Science Reviews 28, no. 13-14 (June 2009): 1309–16. http://dx.doi.org/10.1016/j.quascirev.2008.12.020.

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Raimúndez Álvarez, J. C., and E. Delgado Romero. "Pose Acquisition Through Laser Measures in Structured Environments." IFAC Proceedings Volumes 31, no. 2 (March 1998): 169–73. http://dx.doi.org/10.1016/s1474-6670(17)44191-7.

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Caley, Jeffrey A., Nicholas R. J. Lawrance, and Geoffrey A. Hollinger. "Deep learning of structured environments for robot search." Autonomous Robots 43, no. 7 (January 14, 2019): 1695–714. http://dx.doi.org/10.1007/s10514-018-09821-4.

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42

Roth, Gregory, and Sebastian J. Schreiber. "Persistence in fluctuating environments for interacting structured populations." Journal of Mathematical Biology 69, no. 5 (December 6, 2013): 1267–317. http://dx.doi.org/10.1007/s00285-013-0739-6.

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Schreiber, Sebastian J., and Maureen E. Ryan. "Invasion speeds for structured populations in fluctuating environments." Theoretical Ecology 4, no. 4 (October 13, 2010): 423–34. http://dx.doi.org/10.1007/s12080-010-0098-5.

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44

Amarasekare, Priyanga. "Competitive coexistence in spatially structured environments: a synthesis." Ecology Letters 6, no. 12 (October 13, 2003): 1109–22. http://dx.doi.org/10.1046/j.1461-0248.2003.00530.x.

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Antony, Joseph, and Suchetha Manikandan. "Expanding vision-based ADAS for non-structured environments." IET Intelligent Transport Systems 14, no. 6 (June 1, 2020): 620–27. http://dx.doi.org/10.1049/iet-its.2019.0530.

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Trentin, Edmondo. "A Neural Probabilistic Graphical Model for Learning and Decision Making in Evolving Structured Environments." Mathematics 10, no. 15 (July 28, 2022): 2646. http://dx.doi.org/10.3390/math10152646.

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A difficult and open problem in artificial intelligence is the development of agents that can operate in complex environments which change over time. The present communication introduces the formal notions, the architecture, and the training algorithm of a machine capable of learning and decision-making in evolving structured environments. These environments are defined as sets of evolving relations among evolving entities. The proposed machine relies on a probabilistic graphical model whose time-dependent latent variables undergo a Markov assumption. The likelihood of such variables given the structured environment is estimated via a probabilistic variant of the recursive neural network.

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Do Couto, Dylan, Joseph Butterfield, Adrian Murphy, and Joseph Coleman. "Methods of Evaluating 3D Perception Systems for Unstructured Autonomous Logistics." Journal of Computational Vision and Imaging Systems 6, no. 1 (January 15, 2021): 1–5. http://dx.doi.org/10.15353/jcvis.v6i1.3558.

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This study introduces methods of evaluating 3D perception systems, such as Time of Flight (ToF) systems, for automated logistics applications in unstructured environments. Here perception is defined as a system’s understanding of its environment and the Objects Of Interest (OOI) within that environment, through hardware consisting of cameras or depth sensors. Current computer guided machinery that rely on perception systems, such as an Autonomous Guided Vehicle (AGV), require structured environments that are specifically designed for such a machine. Unstructured environments include warehouses or manufacturing facilities that have not been tailor designed or structured specifically for the purpose of using a computer guided machine. In this study, two methods are proposed to assess 3D systems proposed for autonomous logistics in unstructured environments. The results of this study indicate that the methods presented here are suitable for future and comparative 3D perception and evaluation in this space.

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Fushiya, Hirotaka, Tomoki Kitamura, and Munenori Nakasato. "Structured product investment behavior in low-interest rate environments." Journal of Risk Finance 22, no. 2 (May 25, 2021): 113–29. http://dx.doi.org/10.1108/jrf-12-2019-0232.

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Purpose This study aims to investigate the impact of interest rates, the underlying asset and investment experience on the investment behavior of Japanese retail investors toward structured products (SPs). Design/methodology/approach Three treatments are constructed through internet-based survey experiments: interest rate, underlying asset framing and investment experience treatments. The interest rate treatment includes high- and low-interest rate environments. The underlying asset framing treatment includes equity and foreign exchange rates for the SP. The investment experience treatment includes experienced and inexperienced respondents for SPs. Findings The main finding of this study concerns the effect of the interaction between low-interest rates and investment experience. Specifically, SP-experienced investors tend to choose SPs in a low-interest rate environment and prefer equity-linked SPs, even though such SPs are overpriced. This finding is useful for financial regulators in formulating policies that protect retail SP investors in low-interest rate environments worldwide. Originality/value This study is the first to measure the sensitivities of investment behavior regarding the relative attractiveness of SPs to low-risk straight bonds, given interest rates, the underlying asset and investment experience. It provides evidence to support the development of SP regulations.

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Tamascelli, Dario. "Excitation Dynamics in Chain-Mapped Environments." Entropy 22, no. 11 (November 19, 2020): 1320. http://dx.doi.org/10.3390/e22111320.

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The chain mapping of structured environments is a most powerful tool for the simulation of open quantum system dynamics. Once the environmental bosonic or fermionic degrees of freedom are unitarily rearranged into a one dimensional structure, the full power of Density Matrix Renormalization Group (DMRG) can be exploited. Beside resulting in efficient and numerically exact simulations of open quantum systems dynamics, chain mapping provides an unique perspective on the environment: the interaction between the system and the environment creates perturbations that travel along the one dimensional environment at a finite speed, thus providing a natural notion of light-, or causal-, cone. In this work we investigate the transport of excitations in a chain-mapped bosonic environment. In particular, we explore the relation between the environmental spectral density shape, parameters and temperature, and the dynamics of excitations along the corresponding linear chains of quantum harmonic oscillators. Our analysis unveils fundamental features of the environment evolution, such as localization, percolation and the onset of stationary currents.

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Allen, Colin. "The evolution of rational demons." Behavioral and Brain Sciences 23, no. 5 (October 2000): 742. http://dx.doi.org/10.1017/s0140525x00223443.

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If fast and frugal heuristics are as good as they seem to be, who needs logic and probability theory? Fast and frugal heuristics depend for their success on reliable structure in the environment. In passive environments, there is relatively little change in structure as a consequence of individual choices. But in social interactions with competing agents, the environment may be structured by agents capable of exploiting logical and probabilistic weaknesses in competitors' heuristics. Aspirations toward the ideal of a demon reasoner may consequently be adaptive for direct competition with such agents.

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