Relevant bibliographies by topics / Adaptive voter model

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  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'Adaptive voter model'

Author: Grafiati
Published: 4 June 2021
Last updated: 2 February 2022

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Journal articles on the topic "Adaptive voter model"

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Stadler, Bärbel M. R. "Adaptive platform dynamics in multi-party spatial voting." Advances in Complex Systems 02, no. 02 (June 1999): 101–16. http://dx.doi.org/10.1142/s0219525999000060.

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The dynamics of multiple competing political parties under spatial voting is explored. Parties are allowed to modify their positions adaptively in order to gain more votes. The parties in this model are opportunistic, in the sense that they try to maximize their share of votes regardless of any ideological position. Each party makes small corrections to its current platform in order to increase its own utility by means of the steepest ascent in the variables under its own control, i.e., by locally optimizing its own platform. We show that in models with more than two parties bifurcations at the trivial equilibrium occur if only the voters are critical enough, that is, if they respond strongly to small changes in relative utilities. A numerical survey in a three-party model yields multiple bifurcations, multi-stability, and stable periodic at tractors that arise through Hopf bifurcations. Models with more than two parties can thus differ substantially from the two-party case, where it has been shown that under the assumptions of quadratic voter utilities and complete voter participation there is always a globally stable equilibrium that coincides with the mean voter position.
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Silk, Holly, Güven Demirel, Martin Homer, and Thilo Gross. "Exploring the adaptive voter model dynamics with a mathematical triple jump." New Journal of Physics 16, no. 9 (September 25, 2014): 093051. http://dx.doi.org/10.1088/1367-2630/16/9/093051.

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Chodrow, Philip S., and Peter J. Mucha. "Local Symmetry and Global Structure in Adaptive Voter Models." SIAM Journal on Applied Mathematics 80, no. 1 (January 2020): 620–38. http://dx.doi.org/10.1137/18m1232346.

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Zhang, Sheng, and Zhang Lin. "Adaptive‐rational thermal comfort model: Adaptive predicted mean vote with variable adaptive coefficient." Indoor Air 30, no. 5 (March 23, 2020): 1052–62. http://dx.doi.org/10.1111/ina.12665.

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Kollman, Ken, John H. Miller, and Scott E. Page. "Adaptive Parties in Spatial Elections." American Political Science Review 86, no. 4 (December 1992): 929–37. http://dx.doi.org/10.2307/1964345.

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We develop a model of two-party spatial elections that departs from the standard model in three respects: parties' information about voters' preferences is limited to polls; parties can be either office-seeking or ideological; and parties are not perfect optimizers, that is, they are modelled as boundedly rational adaptive actors. We employ computer search algorithms to model the adaptive behavior of parties and show that three distinct search algorithms lead to similar results. Our findings suggest that convergence in spatial voting models is robust to variations in the intelligence of parties. We also find that an adaptive party in a complex issue space may not be able to defeat a well-positioned incumbent.
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Yao, Runming, Baizhan Li, and Jing Liu. "A theoretical adaptive model of thermal comfort – Adaptive Predicted Mean Vote (aPMV)." Building and Environment 44, no. 10 (October 2009): 2089–96. http://dx.doi.org/10.1016/j.buildenv.2009.02.014.

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Liu, Jing, and Ting Cai. "Development Adaptive Predicted Mean Vote (aPMV) Model for Naturally Ventilated Buildings in Zunyi, China." E3S Web of Conferences 136 (2019): 03029. http://dx.doi.org/10.1051/e3sconf/201913603029.

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Fanger’s predicted mean vote (PMV) model which is as a result of climate-chamber-based experiments is a good tool to evaluate indoor thermal comfort for air-conditioned buildings in global wide. However, PMV model has defect of predicting people’s real thermal sensation under non-air-conditioned conditions. It is reflected by the significant discrepancies between PMV values and Actual Mean Vote (AMV) values. The aim of this study is to develop an Adaptive Predicted Mean Vote (aPMV) Model on the basis of ‘black box’ theory considering occupants’ adaptations to improve prediction performance. A field study was carried out in naturally ventilated educational buildings in Zunyi, China. The developed aPMV model produces more reliable results and shows better prediction performance, comparing with values predicted by PMV model. It indicates that aPMV model is of great benefit to connect traditional PMV model and adaptive comfort model and consequently to provide guidance on building design, operation and maintenance, which contribute to achieve building energy conservation and emission reduction target.
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Ghaffari Jabbari, Shahla, Aida Maleki, Mohammad Ali Kaynezhad, and Bjarne W. Olesen. "Inter-personal factors affecting building occupants’ thermal tolerance at cold outdoor condition during an autumn–winter period." Indoor and Built Environment 29, no. 7 (August 5, 2019): 987–1005. http://dx.doi.org/10.1177/1420326x19867999.

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The study was conducted to investigate thermal adaptation and the impact of individual differences on developing thermal tolerance when the outdoor temperature falls below 10°C. The applicability of the predicted mean vote (PMV) model was investigated, too. The concept of occupant’s ‘Temperament’ was evaluated as a psychological-adaptation factor. Two main hypotheses were: (a) people with different temperaments would experience different thermal sensations and (b) the classic PMV- predicted percentage dissatisfied (PPD) model is capable of predicting the neutral sensation in heated buildings under cold outdoor temperatures. There was a direct relationship between individual temperament and clothing level as well as thermal sensation. The occupants who were assessed to have cold temperament tend to wear thicker clothes and were more sensitive to variations in indoor air temperature than others. Females with a cold temperament were more than twice as likely to be affected by indoor air temperature as those with a warm temperament. The PMV-PPD model was able to predict the mean neutral temperature in the heated buildings even when the outdoor temperature fell below 10°C. However, when occupants were able to control high indoor temperature, the percentage of true prediction of actual mean votes by the adaptive thermal heat balance model was more than that by the classic PMV model.
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de Faria, Luciano C., Marcelo A. Romero, and Lúcia F. S. Pirró. "Evaluation of a Coupled Model to Predict the Impact of Adaptive Behaviour in the Thermal Sensation of Occupants of Naturally Ventilated Buildings in Warm-Humid Regions." Sustainability 13, no. 1 (December 29, 2020): 255. http://dx.doi.org/10.3390/su13010255.

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Improving indoor environment quality and making urban centres in tropical regions more sustainable has become a challenge for which computational models for the prediction of thermal sensation for naturally ventilated buildings (NVBs) have major role to play. This work performed analysis on thermal sensation for non-residential NVBs located in Brazilian tropical warm-humid climate and tested the effectiveness of suggested adaptive behaviours to mitigate warm thermal sensation. The research method utilized transient computational fluid dynamics models coupled with a dynamic model for human thermophysiology to predict thermal sensation. The calculated results were validated with comparison with benchmark values from questionnaires and from field measurements. The calculated results for dynamic thermal sensation (DTS) seven-point scale showed higher agreement with the thermal sensation vote than with the predicted mean vote. The test for the suggested adaptive behaviours considered reducing clothing insulation values from 0.18 to 0.32 clo (reducing DTS from 0.1 to 0.9), increasing the air speed in 0.9 m/s (reducing DTS from 0.1 to 0.9), and applying both suggestions together (reducing DTS from 0.1 to 1.3) for five scenarios with operative temperatures spanning 34.5–24.0 °C. Results quantified the tested adaptive behaviours’ efficiency showing applicability to improve thermal sensation from slightly-warm to neutral.
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Albatayneh, Aiman, Dariusz Alterman, Adrian Page, and Behdad Moghtaderi. "The Impact of the Thermal Comfort Models on the Prediction of Building Energy Consumption." Sustainability 10, no. 10 (October 10, 2018): 3609. http://dx.doi.org/10.3390/su10103609.

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Building energy assessment software/programs use various assumptions and types of thermal comfort models to forecast energy consumption. This paper compares the results of using two major thermal comfort models (adaptive thermal comfort and the predicted mean vote (PMV) adjusted by the expectancy factor) to examine their influence on the prediction of the energy consumption for several full-scale housing experimental modules constructed on the campus of the University of Newcastle, Australia. Four test modules integrating a variety of walling types (insulated cavity brick (InsCB), cavity brick (CB), insulated reverse brick veneer (InsRBV), and insulated brick veneer (InsBV)) were used for comparing the time necessary for cooling and heating to maintain internal thermal comfort for both models. This research paper exhibits the benefits of adopting the adaptive thermal model for building structures. It shows the effectiveness of this model in helping to reduce energy consumption, increasing the thermal comfort level for the buildings, and therefore reducing greenhouse emissions.
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Dissertations / Theses on the topic "Adaptive voter model"

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Yang, Guoli. "Learning in adaptive networks : analytical and computational approaches." Thesis, University of Edinburgh, 2016. http://hdl.handle.net/1842/20956.

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The dynamics on networks and the dynamics of networks are usually entangled with each other in many highly connected systems, where the former means the evolution of state and the latter means the adaptation of structure. In this thesis, we will study the coupled dynamics through analytical and computational approaches, where the adaptive networks are driven by learning of various complexities. Firstly, we investigate information diffusion on networks through an adaptive voter model, where two opinions are competing for the dominance. Two types of dynamics facilitate the agreement between neighbours: one is pairwise imitation and the other is link rewiring. As the rewiring strength increases, the network of voters will transform from consensus to fragmentation. By exploring various strategies for structure adaptation and state evolution, our results suggest that network configuration is highly influenced by range-based rewiring and biased imitation. In particular, some approximation techniques are proposed to capture the dynamics analytically through moment-closure differential equations. Secondly, we study an evolutionary model under the framework of natural selection. In a structured community made up of cooperators and cheaters (or defectors), a new-born player will adopt a strategy and reorganise its neighbourhood based on social inheritance. Starting from a cooperative population, an invading cheater may spread in the population occasionally leading to the collapse of cooperation. Such a collapse unfolds rapidly with the change of external conditions, bearing the traits of a critical transition. In order to detect the risk of invasions, some indicators based on population composition and network structure are proposed to signal the fragility of communities. Through the analyses of consistency and accuracy, our results suggest possible avenues for detecting the loss of cooperation in evolving networks. Lastly, we incorporate distributed learning into adaptive agents coordination, which emerges as a consequence of rational individual behaviours. A generic framework of work-learn-adapt (WLA) is proposed to foster the success of agents organisation. To gain higher organisation performance, the division of labour is achieved by a series of events of state evolution and structure adaptation. Importantly, agents are able to adjust their states and structures through quantitative information obtained from distributed learning. The adaptive networks driven by explicit learning pave the way for a better understanding of intelligent organisations in real world.
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Book chapters on the topic "Adaptive voter model"

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Ishikawa, Takashi. "Two Phase Transitions in the Adaptive Voter Model Based on the Homophily Principle." In Innovative Approaches in Agent-Based Modelling and Business Intelligence, 53–64. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-1849-8_5.

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Bendor, Jonathan, Daniel Diermeier, David A. Siegel, and Michael M. Ting. "Bounded Rationality and Elections." In A Behavioral Theory of Elections. Princeton University Press, 2011. http://dx.doi.org/10.23943/princeton/9780691135076.003.0001.

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This book discusses a behavioral theory of elections based on bounded rationality. As a research program, bounded rationality contains a set of alternative formulations, rather than a single theory or model. The issues raised by the bounded rationality program—the impact of cognitive constraints on behavior—are as pertinent to politics as they are to markets, perhaps even more so. This is evident in the subfield of elections. This chapter considers two major topics that are central to a behavioral theory of elections: framing and heuristics. It also explores aspiration-based adaptive rules (ABARs), the relation between the research programs of bounded rationality and rational choice, voter turnout, and the cognitive capacities of voters and politicians. Finally, it provides an overview of the topics tackled in the book.
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Cruse, Andrew. "Improving the Weather." In Examining the Environmental Impacts of Materials and Buildings, 251–81. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-2426-8.ch009.

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This chapter proposes an approach to thermal comfort that increases occupant pleasure and reduces energy use by connecting architecture's material and environmental dimensions. Today's dominant thermal comfort model, the predicted mean vote (PMV), calls for steady-state temperatures that are largely unrelated to building design decisions. A more recent alternative approach, the adaptive thermal comfort (ATC) model, ties comfort to outdoor conditions and individual experience. Yet reliance on HVAC technology to provide building comfort hampers how such ideas are integrated into building design. This chapter outlines the historical background of the PMV and ACT models to understand the current status of thermal comfort research and practice. It then uses four recent buildings to outline how the insights of adaptive comfort research can be translated to bespoke comforts through spatial, material, formal, and other design strategies.
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Conference papers on the topic "Adaptive voter model"

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Ishikawa, Takashi. "Two phase transitions in the adaptive voter model based on the homophily principle." In 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM). IEEE, 2014. http://dx.doi.org/10.1109/asonam.2014.6921579.

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Xu Wei, Chen Xiangguang, and Zhao Jun. "An adaptive Predicted Mean Vote (aPMV) model in office." In 2010 International Conference on Mechanic Automation and Control Engineering (MACE). IEEE, 2010. http://dx.doi.org/10.1109/mace.2010.5536861.

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Lombardo, Pierangelo, Alessio Boiardi, Luca Colombo, Angelo Schiavone, and Nicolò Tamagnone. "Top-Rank-Focused Adaptive Vote Collection for the Evaluation of Domain-Specific Semantic Models." In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP). Stroudsburg, PA, USA: Association for Computational Linguistics, 2020. http://dx.doi.org/10.18653/v1/2020.emnlp-main.249.

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