Journal articles on the topic 'Dynamic adaptive pathways planning'

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1

Carstens, Christoffer, Karin Mossberg Sonnek, Riitta Räty, Per Wikman-Svahn, Annika Carlsson-Kanyama, and Jonathan Metzger. "Insights from Testing a Modified Dynamic Adaptive Policy Pathways Approach for Spatial Planning at the Municipal Level." Sustainability 11, no. 2 (January 15, 2019): 433. http://dx.doi.org/10.3390/su11020433.

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The Dynamic Adaptive Policy Pathways (DAPP) approach has successfully been used to manage uncertainties in large infrastructure projects. However, the viability of the DAPP approach for spatial planning in smaller municipal settings is not clear. This paper examines opportunities and constraints of using adaptive pathways approaches to help small municipalities plan for future sea-level rise. The methodology was based on developing a simplified DAPP-approach, which was tested in a multiple experimental case study of spatial planning projects in three municipalities in Sweden. The results show that the approach promoted vulnerability-based thinking among the end-users and generated new ideas on how to manage the uncertain long-term impacts of future sea-level rise. However, the increased understanding of uncertainties was used to justify static, rather than adaptive, solutions. This somewhat surprising outcome can be explained by perceived legal constraints, lack of experience of adaptive pathways, and unwillingness to prescribe actions that could prove difficult to enforce in the future. More research is needed to further understand at what planning phases dynamic policy pathway approaches work best and how current barriers in legislation, practices, mind-set, organization, and resources can be overcome.
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Hermans, L. M., M. Haasnoot, and J. H. Kwakkel. "Next stop, implementation: collaborative monitoring to inform adaptive policy-making and implementation." Proceedings of the International Association of Hydrological Sciences 364 (September 16, 2014): 374–79. http://dx.doi.org/10.5194/piahs-364-374-2014.

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Abstract. Dynamic Adaptive Policy Pathways has been developed as an approach to deal with deep uncertainties and support robust decision-making for long-term planning. Given the unpredictable and uncertain futures, implementation of the resulting adaptive policies needs to be informed by regular monitoring. However, monitoring implementation in practice is complicated by the need to coordinate activities and share information among multiple actors. Here we present a first outline for an approach to organise collaborative monitoring to support adaptive implementation of long-term water policies. The analytical basis rests on an extension of Dynamic Adaptive Policy Pathways with actor analysis principles. Monitoring is to be organised around adaptation tipping points, for which a set of questions needs to be addressed that put societal actors central. Examples from two water management cases in the Netherlands suggest the usefulness of this approach.
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Lawrence, Judy, and Marjolijn Haasnoot. "What it took to catalyse uptake of dynamic adaptive pathways planning to address climate change uncertainty." Environmental Science & Policy 68 (February 2017): 47–57. http://dx.doi.org/10.1016/j.envsci.2016.12.003.

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Lawrence, Judy, Robert Bell, and Adolf Stroombergen. "A Hybrid Process to Address Uncertainty and Changing Climate Risk in Coastal Areas Using Dynamic Adaptive Pathways Planning, Multi-Criteria Decision Analysis & Real Options Analysis: A New Zealand Application." Sustainability 11, no. 2 (January 15, 2019): 406. http://dx.doi.org/10.3390/su11020406.

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Decision makers face challenges in coastal areas about how to address the effects of ongoing and uncertain sea-level rise. Dynamic adaptive pathways planning (DAPP) and Real Options Analysis (ROA) can support decision makers to address irreducible uncertainties in coastal areas. This paper sets out what we learned by complementing multi-criteria decision analysis with DAPP and ROA when developing a 100-year coastal adaptation strategy in Hawke’s Bay, New Zealand. Lessons include the value of collaborative community and decision maker processes for increasing understanding about the changing risk over time, and the need to take early actions that enable a shift in pathway before those actions become ineffective. Modifications to the methods highlighted the importance of using several plausible scenarios for stress-testing options; considering costs and consent-ability early, to avoid the perception that hard protection will last; which criteria are appropriate for communities to assess; and making many pathways visible for future decision makers. We learned about the difficulties shifting thinking from short-term protection actions to longer-term anticipatory strategies. We found that a pathways system will require ongoing political leadership and governance with monitoring systems that can manage the adaptive process over long timeframes, by governments and their constituent communities.
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Toimil, A., I. J. Losada, J. Hinkel, and R. J. Nicholls. "Using quantitative dynamic adaptive policy pathways to manage climate change-induced coastal erosion." Climate Risk Management 33 (2021): 100342. http://dx.doi.org/10.1016/j.crm.2021.100342.

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Jacobs, Brent, Louise Boronyak, and Polly Mitchell. "Application of Risk-Based, Adaptive Pathways to Climate Adaptation Planning for Public Conservation Areas in NSW, Australia." Climate 7, no. 4 (April 19, 2019): 58. http://dx.doi.org/10.3390/cli7040058.

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Globally, areas of high-quality wildlife habitat of significant environmental value are at risk of permanent damage from climate change. These areas represent social-ecological systems that will require increasing management intervention to maintain their biological and socio-cultural values. Managers of protected areas have begun to recognize the inevitability of ecosystem change and the need to embrace dynamic approaches to intervention. However, significant uncertainty remains about the onset and severity of some impacts, which makes planning difficult. For Indigenous communities, there are intrinsic links between cultural heritage and the conservation of place and biodiversity that need to be better integrated in protected area planning and management. In New South Wales, Australia, management of public conservation reserves and national parks is the responsibility of a State government agency, the National Parks and Wildlife Service (NPWS). This paper describes the outcomes of a participatory planning process with NPWS staff to, firstly, identify the options available, the available ‘tool kit’, to manage biodiversity and cultural heritage in protected areas; secondly, explore how the selection of management actions from the ‘tool kit’ is associated with the level of climate risk to biodiversity or cultural heritage assets; and thirdly, to understand how the form of individual management actions might adapt to changes in climate risk. Combining these three elements into a series of risk-based, adaptive pathways for conservation of biodiversity and cultural heritage is a novel approach that is currently supporting place-based planning for public conservation areas. Incorporation of the trade-offs and synergies in seeking to effectively manage these discrete but related types of values and the implications for conservation practice are discussed.
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Mendizabal, Maddalen, Nieves Peña, Hans Hooyberghs, Griet Lambrechts, Joel Sepúlveda, and Saioa Zorita. "Lessons Learned from Applying Adaptation Pathways in Heatwave Risk Management in Antwerp and Key Challenges for Further Development." Sustainability 13, no. 20 (October 18, 2021): 11481. http://dx.doi.org/10.3390/su132011481.

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Heat exposure is a well-known health hazard, which causes several problems ranging from thermal discomfort or productivity reduction to the aggravation of existing illnesses and death. Climate projections foresee an increase in the frequency and intensity of heat-related impacts on human health. To reduce these climate risks, governments need a better understanding of not only the scale and the factors affecting those risks, but also how to prepare and protect the city and citizens against these risks and prevent them through effective policy making. Therefore, climate adaptation decisions need to be made in complex systems with manifold uncertainties. In response to these deep uncertainties, different planning approaches have been developed to assist policymakers in decision making. This paper is focused on one of the dynamic adaptive policy planning approaches: the adaptation pathway. This approach allows designing alternative feasible plans that are flexible and can respond when new information appears or when conditions in the environment change. This paper presents a structured methodology for designing adaptation pathways. The work describes a high-level adaptation pathway covering heatwave impacts on productivity and health at city level in Antwerp to ensure the city adapts to future conditions. Lastly, a summary is provided of the lessons learned and the challenges of this approach are discussed.
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Haasnoot, Marjolijn, Jan H. Kwakkel, Warren E. Walker, and Judith ter Maat. "Dynamic adaptive policy pathways: A method for crafting robust decisions for a deeply uncertain world." Global Environmental Change 23, no. 2 (April 2013): 485–98. http://dx.doi.org/10.1016/j.gloenvcha.2012.12.006.

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Ngarava, Saul, Leocadia Zhou, and Nomakhaya Monde. "Gendered Water Insecurity: A Structural Equation Approach for Female Headed Households in South Africa." Water 11, no. 12 (November 26, 2019): 2491. http://dx.doi.org/10.3390/w11122491.

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Intricacies between women and water are central to achieving the 2030 Sustainable Development Goals (SDGs). Gender equality and women empowerment is a key driver in ending hunger and poverty as well as improve water security the study sought to identify and provide pathways through which female-headed households were water insecure in South Africa. Secondary data collected during the 2016 General Household Survey (GHS) was utilised, with a sample of 5928 female-headed households. Principal Component Analysis and Structural Equation Modelling were used to analyse the data. The results show dynamic relationships between water characteristics and water treatment. There were also associations between water access and wealth status of the female-headed households. Association was also found between water access and water treatment as well as between wealth status and water treatment. The study concludes that there are dynamic relationships in water insecurity (exposure, sensitivity and adaptive capacity) for female-headed households in South Africa. The study recommends that a multi-prong approach is required in tackling exposures, sensitivities and adaptive capacities to water insecurity. This should include capacity–building and empowering women for wealth generation, improve access to water treatment equipment as well as prioritising improvement of infrastructure that brings piped and safe water to female-headed households.
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Bradley, Sean, Israa H. Mahmoud, and Alessandro Arlati. "Integrated Collaborative Governance Approaches towards Urban Transformation: Experiences from the CLEVER Cities Project." Sustainability 14, no. 23 (November 23, 2022): 15566. http://dx.doi.org/10.3390/su142315566.

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Within the framework of CLEVER Cities Horizon 2020, London, Milan, and Hamburg are putting in place nine Urban Living Labs in order to implement Nature-based Solutions that address urban challenges in socially disadvantaged neighborhoods. In this article, the means by which co-creation processes and pathways may lead to innovation in governance structures are considered. Through a comparative case study analysis, this research aims to identify integrated, collaborative governance frameworks that are complex and adaptive, as well as reflect the actual changes in governance in cities. Herein, ULLs are intended not just as a vehicle for place-based urban regeneration but also as a starting point for collaborative governance. In this article, it is considered how co-creation pathways may lead to innovation in current local governance structures and achieve transformational change. This paper analyzes the collaborative governance dynamic models at three points in time in the three cities. It is also considered how co-creation pathways may lead to innovation in current local governance structures and achieve transformational change.
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Dias, Luís Filipe, Bruno A. Aparício, João Pedro Nunes, Inês Morais, Ana Lúcia Fonseca, Amandine Valérie Pastor, and Filipe Duarte Santos. "Integrating a hydrological model into regional water policies: Co-creation of climate change dynamic adaptive policy pathways for water resources in southern Portugal." Environmental Science & Policy 114 (December 2020): 519–32. http://dx.doi.org/10.1016/j.envsci.2020.09.020.

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12

Ismail, Sharif A., Sadie Bell, Zaid Chalabi, Fouad M. Fouad, Reinhard Mechler, Andrada Tomoaia-Cotisel, Karl Blanchet, and Josephine Borghi. "Conceptualising and assessing health system resilience to shocks: a cross-disciplinary view." Wellcome Open Research 7 (May 13, 2022): 151. http://dx.doi.org/10.12688/wellcomeopenres.17834.1.

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Health systems worldwide face major challenges in anticipating, planning for and responding to shocks from infectious disease epidemics, armed conflict, climatic and other crises. Although the literature on health system resilience has grown substantially in recent years, major uncertainties remain concerning approaches to resilience conceptualisation and measurement. This narrative review revisits literatures from a range of fields outside health to identify lessons relevant to health systems. Four key insights emerge. Firstly, shocks can only be understood by clarifying how, where and over what timescale they interact with a system of interest, and the dynamic effects they produce within it. Shock effects are contingent on historical path-dependencies, and on the presence of factors or system pathways (e.g. financing models, health workforce capabilities or supply chain designs) that may amplify or dampen impact in unexpected ways. Secondly, shocks often produce cascading effects across multiple scales, whereas the focus of much of the health resilience literature has been on macro-level, national systems. In reality, health systems bring together interconnected sub-systems across sectors and geographies, with different components, behaviours and sometimes even objectives – all influencing how a system responds to a shock. Thirdly, transformability is an integral feature of resilient social systems: cross-scale interactions help explain how systems can show both resilience and transformational capability at the same time. We illustrate these first three findings by extending the socioecological concept of adaptive cycles in social systems to health, using the example of maternal and child health service delivery. Finally, we argue that dynamic modelling approaches, under-utilised in research on health system resilience to date, have significant promise for identification of shock-moderating or shock-amplifying pathways, for understanding effects at multiple levels and ultimately for building resilience.
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Magness, Dawn Robin, Ella Wagener, Emily Yurcich, Ryan Mollnow, Diane Granfors, and Jennifer L. Wilkening. "A Multi-Scale Blueprint for Building the Decision Context to Implement Climate Change Adaptation on National Wildlife Refuges in the United States." Earth 3, no. 1 (February 3, 2022): 136–56. http://dx.doi.org/10.3390/earth3010011.

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Climate change and ecological transformation are causing natural resource management to be applied to nonstationary systems. Managers can respond to dynamic ecosystems by resisting, accepting, or directing ecological change. Management response is constrained by a decision context, defined as an interconnected social system of values, rules, and knowledge that affects how problems can be addressed. We provide a multi-scale blueprint for creating a decision context that increases capacity for implementing climate adaptation, including novel approaches in the National Wildlife Refuge System, a continental conservation network administered by the U.S. Fish and Wildlife Service. We use the Tetlin National Wildlife Refuge in Alaska as case study to illustrate blueprint concepts and to provide “proof-of-concept” for application. The blueprint builds on ideas and practices from scenario planning, adaptive management, and adaptive pathway planning, which are approaches that promote action in the face of uncertainty. Management considerations focus on stewarding biodiversity in a changing climate by addressing what futures are possible, what interventions can be used to shape future conditions, and how to coordinate a regional conservation strategy. The blueprint focus on decision context promotes a longer-term social process of engagement that is complementary to, but larger than, any one decision process.
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Kool, Rick, Judy Lawrence, Martin Drews, and Robert Bell. "Preparing for Sea-Level Rise through Adaptive Managed Retreat of a New Zealand Stormwater and Wastewater Network." Infrastructures 5, no. 11 (November 1, 2020): 92. http://dx.doi.org/10.3390/infrastructures5110092.

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Sea-level rise increasingly affects low-lying and exposed coastal communities due to climate change. These communities rely upon the delivery of stormwater and wastewater services which are often co-located underground in coastal areas. Due to sea-level rise and associated compounding climate-related hazards, managing these networks will progressively challenge local governments as climate change advances. Thus, responsible agencies must reconcile maintaining Levels of Service as the impacts of climate change worsen over the coming decades and beyond. A critical question is whether such networks can continue to be adapted/protected over time to retain Levels of Service, or whether eventual retreat may be the only viable adaptation option? If so, at what performance threshold? In this paper, we explore these questions for stormwater and wastewater, using a dynamic adaptive pathway planning (DAPP) approach designed to address thresholds and increasing risk over time. Involving key local stakeholders, we here use DAPP to identify thresholds for stormwater and wastewater services and retreat options, and for developing a comprehensive and area-specific retreat strategy comprising pathway portfolios, retreat phases, potential land use changes, and for exploring pathway conflicts and synergies. The result is a prototype for an area near Wellington, New Zealand, where a managed retreat of water infrastructure is being considered at some future juncture. Dynamic adaptive strategies for managed retreats can help to reduce future disruption from coastal flooding, signal land use changes early, inform maintenance, and allow for gradual budget adjustments by the agencies that can manage expenditure over time. We present this stepwise process in a pathway form that can be communicated spatially and visually, thereby making a retreat a more manageable, sequenced, adaptation option for water agencies, and the communities they serve.
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Fongnzossie, Evariste, Denis Jean Sonwa, Philippes Mbevo, Fabrice Kentatchime, Aurelie Mokam, Claude Tatuebu Tagne, and Lydie Flora Essamba A. Rim. "Climate Change Vulnerability Assessment in Mangrove-Dependent Communities of Manoka Island, Littoral Region of Cameroon." Scientific World Journal 2022 (September 5, 2022): 1–14. http://dx.doi.org/10.1155/2022/7546519.

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This study was conducted on Manoka Island (Littoral Region of Cameroon) with the aim of analyzing climate change vulnerability and local adaptation strategies based on the local community’s perceptions and biophysical evidence. We used household surveys, focus group discussions, field observation, GIS, and remote sensing to collect data on variables of exposure, sensitivity, and adaptive capacity. Historical changes in rainfall and temperature, mangrove cover, and the occurrence of extreme climatic events were used as indicators of exposure. Property losses and income structure were used as indicators of sensitivity, while human, natural, social, financial, and physical assets represented adaptive capacity. 89 households were interviewed in the nine settlements of the island. Results show that Manoka Island is experiencing irregular rainfall patterns (with average annual values deviating from the mean by −1.9 to +1.8 mm) and increasing temperature (with annual values deviating from the mean by −1.2 to +3.12). The dynamics of the coastline between 1975 and 2017 using EPR show average setbacks of more than ±3 m/year, with erosion levels varying depending on the period and location. The number of households perceiving extreme climatic events like seasonal variability, flood, and rain storm was higher. From respondents’ perception, housing and health are the sectors most affected by climate change. The reported high dependence of households on fishing for income, their overall low livelihood diversification, and their poor access to climate information reported by 65% of respondents portray their poor adaptive capacity. Local response initiatives are ineffective and include among others constructing buildings on stilts and using car wheels to counter the advancement of seawater inland. The study concludes that households on Manoka Island are vulnerable to the impacts of climate change. Income diversification, mangrove reforestation, the development of sustainable supply chains for wood fuel, and sustainable fish smoking devices are the main pathways for adaptation planning in this area.
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Min, Qingwen, and Bitian Zhang. "Research Progress in the Conservation and Development of China-Nationally Important Agricultural Heritage Systems (China-NIAHS)." Sustainability 12, no. 1 (December 23, 2019): 126. http://dx.doi.org/10.3390/su12010126.

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To cope with the problem of the global agricultural environment, food security, and the crisis of sustainable agricultural development, the Food and Agriculture Organization (FAO), together with other relevant national organizations and several countries, launched the Globally Important Agricultural Heritage Systems (GIAHS) in 2002. The Qingtian Rice-Fish system was designated as China’s first GIAHS and was included in the first batch of GIAHS pilot sites, in 2005. Since then, study of systematic agricultural heritage and its conservation and development has progressed in China. On the basis of a comprehensive collection of relevant studies, the author reviews the main achievements in conservation and development of China-Nationally Important Agricultural Heritage Systems (China-NIAHS) over the past 15 years. At the present stage, the core contents of study on agricultural heritage are focused on two aspects. One is the benefit of exploration with multi-functional development. Another is dynamic conservation with adaptive management. There are many controversies around the concept and connotation of agricultural heritage, which, in turn, promote the understanding of this new type of heritage. The sustainable mechanism within agricultural heritage gives itself value diversity. Study about the value of agricultural heritage highlights the significance of conservation. The development of multi-functional industrials based on its multi-functional value is the pathway for the development of China-NIAHS, including the production of high-quality and characteristic local agricultural products, the development of ecotourism, and the development of cultural industries. To carry out dynamic conservation and adaptive management, the establishment of "five in one" benefit-sharing, multi-stakeholder mechanisms, legally guaranteed incentive mechanisms, government-leading, multi-financing mechanisms, and multi-disciplinary scientific support mechanisms are indispensable. Although China has made great progress in the study of agricultural heritage, it still needs to carry out additional research through heritage resources surveys, regular patterns of system evolution, and sustainable mechanisms, as well as perform more applicable research in framework and mechanism construction and paradigms of dynamic protection. Multidisciplinary comprehensive studies are necessary as well.
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Menegat, Stefano. "From Panarchy to World-Ecology: Combining the Adaptive Cycle Heuristic with Historical-Geographical Approaches to Explore Socio-Ecological Systems’ Sustainability." Sustainability 14, no. 22 (November 10, 2022): 14813. http://dx.doi.org/10.3390/su142214813.

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This article investigates the dynamics of socio-ecological systems’ (SESs) unsustainability. By adopting a theoretical standpoint grounded in systems’ theory, the analysis shows how SESs’ teleology (or final cause) is of the utmost relevance for understanding the relationship between humans and ecosystems and how it is pivotal for envisioning possible evolutionary trajectories towards sustainability. Building on the contributions of both system and social scientists, the study argues that SESs’ teleology is determined by dominant social ontologies that require a dialectical lens to be properly dealt with. The article therefore proposes the adoption of the adaptive cycle heuristic complemented by an historical-geographical approach based on world-ecology theory as a means to interpret SESs’ behavior. Such a perspective allows for the direct comparison between the four stages of the panarchy cycle (reorganization, exploitation, conservation, and release) and the four stages theorized by the world-ecology dialectics (expansion, appropriation, capitalization, crisis). In conclusion, the article claims that both system and social scientists would benefit from including concepts and definitions from the other field in their analysis, since both provide valuable insights about SESs’ processes of change and both are necessary to envision transition pathways towards sustainability.
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Marin, Mirabela, Ioan Clinciu, Nicu Constantin Tudose, Cezar Ungurean, Alin Lucian Mihalache, Nicoleta Emilia Martoiu, and Oana Nicoleta Tudose. "Assessment of Seasonal Surface Runoff under Climate and Land Use Change Scenarios for a Small Forested Watershed: Upper Tarlung Watershed (Romania)." Water 14, no. 18 (September 13, 2022): 2860. http://dx.doi.org/10.3390/w14182860.

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This study aims to evaluate the potential impact of climate and land use change on seasonal dynamics of surface runoff within the Upper Tarlung watershed of 71.62 km2. Using the Soil and Water Assessment Tool (SWAT), we simulated the surface runoff under the projections from four global and regional combination models for two representative concentration pathways (RCP4.5 and RCP8.5) and three land use change scenarios. In addition, short (2020–2039), mid (2040–2069), and long-term model simulations (2070–2100) were analyzed compared with a ten-year baseline period (1979–1988). Ensemble SWAT outputs showed that, in spring, surface runoff could decrease by up to 28% or increase by up to 86%, in summer can decrease by up to 69%, while in autumn and winter, increases of approximately two to five times fold are expected. The decreasing tendency is more pronounced under climate conditions, while the sharpest increases are estimated in the comprehensive scenario of climate and land use change by 50%. Those results serve as a support for local water, forest, and land managers in anticipating possible threats and conceiving adaptive strategies to manage the studied watershed efficiently.
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van Veelen, Peter C., Karin Stone, and Ad Jeuken. "Planning resilient urban waterfronts using adaptive pathways." Proceedings of the Institution of Civil Engineers - Water Management 168, no. 2 (April 2015): 49–56. http://dx.doi.org/10.1680/wama.14.00062.

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Cradock-Henry, Nicholas A., Bob Frame, Benjamin L. Preston, Andy Reisinger, and Dale S. Rothman. "Dynamic adaptive pathways in downscaled climate change scenarios." Climatic Change 150, no. 3-4 (August 8, 2018): 333–41. http://dx.doi.org/10.1007/s10584-018-2270-7.

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Jennings, Megan K., Katherine A. Zeller, and Rebecca L. Lewison. "Supporting Adaptive Connectivity in Dynamic Landscapes." Land 9, no. 9 (August 26, 2020): 295. http://dx.doi.org/10.3390/land9090295.

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A central tenet of landscape conservation planning is that natural communities can be supported by a connected landscape network that supports many species and habitat types. However, as the planning environment, ecological conditions, and risks and stressors change over time, the areas needed to support landscape connectivity may also shift. We demonstrate an approach designed to assess functional and structural connectivity of an established protected area network that has experienced landscape and planning changes over time. Here we present an approach designed to inform adaptive planning for connectivity with a complementary suite of analytical techniques. Using existing occurrence, movement, and genetic data for six focal species, we create a spatially explicit connectivity assessment based on landscape resistance, paired with a landscape feature geodiversity analysis. Although factors such as cost, conservation goals, and land management strategies must be taken into account, this approach provides a template for leveraging available empirical data and robust analyses to evaluate and adapt planning for protected area networks that can preserve and promote both functional and structural connectivity in dynamic landscapes.
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Mohan, T. V. Krishna, and V. Madhusudanan Pillai. "Detailed Dynamic Layout Planning: An Adaptive Layout Approach." IFAC Proceedings Volumes 46, no. 9 (2013): 2027–32. http://dx.doi.org/10.3182/20130619-3-ru-3018.00556.

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Joo, Jaekoo, Sungsik Park, and Hyunbo Cho. "Adaptive and dynamic process planning using neural networks." International Journal of Production Research 39, no. 13 (January 2001): 2923–46. http://dx.doi.org/10.1080/00207540110049034.

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Haeussler, Stefan, Manuel Schneckenreither, and Christoph Gerhold. "Adaptive Order Release Planning with Dynamic Lead Times." IFAC-PapersOnLine 52, no. 13 (2019): 1890–95. http://dx.doi.org/10.1016/j.ifacol.2019.11.478.

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Vemula, Anirudh, Katharina Muelling, and Jean Oh. "Path Planning in Dynamic Environments with Adaptive Dimensionality." Proceedings of the International Symposium on Combinatorial Search 7, no. 1 (September 1, 2021): 107–15. http://dx.doi.org/10.1609/socs.v7i1.18386.

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Path planning in the presence of dynamic obstacles is a challenging problem due to the added time dimension in search space. In approaches that ignore the time dimension and treat dynamic obstacles as static, frequent re-planning is unavoidable as the obstacles move, and their solutions are generally sub-optimal and can be incomplete. To achieve both optimality and completeness, it is necessary to consider the time dimension during planning. The notion of adaptive dimensionality has been successfully used in high-dimensional motion planning such as manipulation of robot arms, but has not been used in the context of path planning in dynamic environments. In this paper, we apply the idea of adaptive dimensionality to speed up path planning in dynamic environments for a robot with no assumptions on its dynamic model. Specifically, our approach considers the time dimension only in those regions of the environment where a potential collision may occur, and plans in a low-dimensional state-space elsewhere. We show that our approach is complete and is guaranteed to find a solution, if one exists, within a cost sub-optimality bound. We experimentally validate our method on the problem of 3D vehicle navigation (x, y, heading) in dynamic environments. Our results show that the presented approach achieves substantial speedups in planning time over 4D heuristic-based A*, especially when the resulting plan deviates significantly from the one suggested by the heuristic.
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Lu, Fan, Cao Han, Ganwenxiang Wu, Mingrui Lu, Jikun Yang, Baorui Miao, and Yingjie Ma. "Dynamic adaptive security path planning based on A* algorithm." Journal of Physics: Conference Series 2234, no. 1 (April 1, 2022): 012002. http://dx.doi.org/10.1088/1742-6596/2234/1/012002.

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Abstract Aiming at the problems of large memory consumption, long operation time and low security of traditional A * algorithm, a dynamic adaptive improved algorithm based on A * algorithm is proposed. Firstly, according to the heuristic function of the proportion of obstacles in the map, the adaptive dynamic weighting is carried out to shorten the search time. Secondly, the jump point search (JPS) algorithm is integrated to remove a large number of redundant points and improve the running speed of the algorithm. Finally, according to the relative position of the starting point and the target point, the obstacles are expanded dynamically to keep a safe distance between the planned path and the obstacles. In order to verify the effect, the improved algorithm is tested in different sizes and different proportion of obstacles. The results show that the improved algorithm is efficient and safe in global path planning.
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Kurihara, Satoshi, Shigemi Aoyagi, Rikio Onai, and Toshiharu Sugawara. "Adaptive selection of reactive/deliberate planning for a dynamic environment." Robotics and Autonomous Systems 24, no. 3-4 (September 1998): 183–95. http://dx.doi.org/10.1016/s0921-8890(98)00030-x.

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Lihui Wang, Ningxu Cai, Hsi-Yung Feng, and Ji Ma. "ASP: An Adaptive Setup Planning Approach for Dynamic Machine Assignments." IEEE Transactions on Automation Science and Engineering 7, no. 1 (January 2010): 2–14. http://dx.doi.org/10.1109/tase.2008.2011919.

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Mohamed, S. A., N. H. A. Hamid, N. I. Othmani, N. S. Kurzi, R. Hassan, W. S. N. W. Mohamad, and Z. Zahari. "Sustainable Urbanism: Pathway to Resilient Strategies in Adapting Early Malay Town towards Low Carbon City." IOP Conference Series: Earth and Environmental Science 1102, no. 1 (November 1, 2022): 012071. http://dx.doi.org/10.1088/1755-1315/1102/1/012071.

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Due to an alarming rate on the impact of global climate change, the integration of low-carbon goal in regeneration of historic urban areas is regarded as a key part towards the implementation of sustainable urbanism practises based on Sustainable Development Goal (SDG). Much studies on the planning and design of low carbon strategies concerned overwhelmingly on the new planned cities without much emphasis given on the implemented at old town centre. In the context of Malay early town, the adaptation of the low carbon planning as shifting in environmental conditions is regarded as paramount importance particularly in the planning of the urban form to address the growing complexity of urban fabric at the town. This paper therefore explores the developed framework of Low Carbon City initiative and integration of resilience as an approach in urban transformation and regeneration of Malay early town to provide the platform for understanding the complexity of urban-natural environment from morphological perspective. The purpose of this research is two-fold; firstly, to examine the role of discourse in implementing Low Carbon City Framework (LCCF) in Malaysia at large. The second objective is to identify the place-specific mechanisms based on resilience approach to understand the capacity of urban form system to absorb, adapt or transform in ensuring the dynamic equilibrium of the urban-natural system. Considering Kota Bharu as representative of Malay town, a discursive-analytical perspective framed to examine the upsurge of the LCCF that helps to understand the pathway towards integration of framework at national, state and district level. Such comprehension on implementation measure formed a basis to identify the interactions between environmental performance and urban forms pattern as strategies for resilience. A case study with mapping analysis were employed that revealed significant relations between socio-cultural and environmental dimension which shaped the formation and transformation of urban morphology of the town. This study concludes with an examination of possible future directions for integration of space-morphological approach to general urban resilience for future adaptation planning of Malay towns towards Low Carbon City.
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Chen, Tsung-Yi, Hui-Chuan Chu, Yuh-Min Chen, and Kuan-Chun Su. "Ontology-based Adaptive Dynamic e-Learning Map Planning Method for Conceptual Knowledge Learning." International Journal of Web-Based Learning and Teaching Technologies 11, no. 1 (January 2016): 1–20. http://dx.doi.org/10.4018/ijwltt.2016010101.

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E-learning improves the shareability and reusability of knowledge, and surpasses the constraints of time and space to achieve remote asynchronous learning. Since the depth of learning content often varies, it is thus often difficult to adjust materials based on the individual levels of learners. Therefore, this study develops an ontology-based adaptive dynamic knowledge concept e-learning mechanism that generates learning maps based on learner characteristics and guides learners effectively. To achieve this goal, this study proposes an adaptive dynamic concept e-learning navigation procedure, designs learning models based on the adaptive learning needs of learners, and develops knowledge map model and learning map model. Finally, this study designs adaptive dynamic concept learning map-planning algorithms based on the particle swarm optimization (PSO) algorithm. The learning maps generated by these algorithms meet the dynamic needs of learners by continually adjusting and modifying the learning map throughout the learning process. Adapting the adaptive learning content according to the dynamic needs of learners allows learners to receive more instruction in a limited period.
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31

Michas, Serafeim, Vassilis Stavrakas, Sotiris Papadelis, and Alexandros Flamos. "A transdisciplinary modeling framework for the participatory design of dynamic adaptive policy pathways." Energy Policy 139 (April 2020): 111350. http://dx.doi.org/10.1016/j.enpol.2020.111350.

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32

Zhao, Bo Xuan, Jian Hua Liu, Ru Xin Ning, and Mi Liu. "Hierarchical Pipe System Disassembly Sequence Planning by Dynamic Self-Adaptive Tree Based Motion Planning." Applied Mechanics and Materials 300-301 (February 2013): 36–42. http://dx.doi.org/10.4028/www.scientific.net/amm.300-301.36.

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This paper represents a hierarchical pipe system disassembly method by using dynamic self-adaptive tree (DSAT) based motion planning to perform disassembly for a complex pipe system. A pipe system CAD model is prepared initially to indicate the environment of the disassembly procedure. The improved motion planning method provides basic algorithm support for indicating the feasible escape path of a single part. Our technic gradually reduces the complexity of the pipe system to generate a hierarchical structure which takes all geometric information of the system. The hierarchical structure is preserved and used for the generation of a disassembly relationship graph which indicates the feasible disassembly sequences.
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33

Kwakkel, Jan H., Marjolijn Haasnoot, and Warren E. Walker. "Developing dynamic adaptive policy pathways: a computer-assisted approach for developing adaptive strategies for a deeply uncertain world." Climatic Change 132, no. 3 (August 23, 2014): 373–86. http://dx.doi.org/10.1007/s10584-014-1210-4.

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34

Triharminto, H. H., A. S. Prabuwono, T. B. Adji, and N. A. Setiawan. "Adaptive Dynamic Path Planning Algorithm for Interception of a Moving Target." International Journal of Mobile Computing and Multimedia Communications 5, no. 3 (July 2013): 19–33. http://dx.doi.org/10.4018/jmcmc.2013070102.

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Most of the 3D curve path planning is used to build static path planning. For intercepting of a moving target, the path planning has to be set in a dynamic condition. L+Dumo algorithm which is based on curve is used to intercept a moving target. In the real situations, the Unmanned Aerial Vehicle (UAV) has possibility to intercept a moving target from all direction. It is assumed that environment of the UAV is in 3D Euclidean Space. It means that the UAV has to adapt for all quadrants for interception of a moving target. This research develops a path planning algorithm which enhances the previous L+Dumo algorithm to encounter the possibility quadrants. The enhancement would be simulated in C++ language to determine the accuracy of the algorithm. The simulation is conducted using one UAV and one moving target with random obstacles of cylindrical shape in between both objects. The result shows that the system accuracy is 81.0876%, a level which is able to encounter all possibility quadrants.
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35

Lin, Na. "An Adaptive RRT Based on Dynamic Step for UAV Path Planning." Journal of Information and Computational Science 12, no. 5 (March 20, 2015): 1975–83. http://dx.doi.org/10.12733/jics20105520.

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36

Lu, Linyun, and Xinhuai Tang. "Intelligent Task Resource Planning Based on Adaptive Dynamic Resource Composition Model." Journal of Physics: Conference Series 1176 (March 2019): 032017. http://dx.doi.org/10.1088/1742-6596/1176/3/032017.

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37

Paz, Andrés, and Hugo Arboleda. "A Model to Guide Dynamic Adaptation Planning in Self-Adaptive Systems." Electronic Notes in Theoretical Computer Science 321 (March 2016): 67–88. http://dx.doi.org/10.1016/j.entcs.2016.02.005.

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38

Wang, Lihui, Shadi Keshavarzmanesh, and Hsi-Yung Feng. "Design of adaptive function blocks for dynamic assembly planning and control." Journal of Manufacturing Systems 27, no. 1 (January 2008): 45–51. http://dx.doi.org/10.1016/j.jmsy.2008.06.003.

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39

Wang, Lihui, Wei Wang, and Dawei Liu. "Dynamic feature based adaptive process planning for energy-efficient NC machining." CIRP Annals 66, no. 1 (2017): 441–44. http://dx.doi.org/10.1016/j.cirp.2017.04.015.

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40

Birkmann, Joern, Matthias Garschagen, and Neysa Setiadi. "New challenges for adaptive urban governance in highly dynamic environments: Revisiting planning systems and tools for adaptive and strategic planning." Urban Climate 7 (March 2014): 115–33. http://dx.doi.org/10.1016/j.uclim.2014.01.006.

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41

Ciolek, Daniel, Nicolás D'Ippolito, Alberto Pozanco, and Sebastian Sardiña. "Multi-Tier Automated Planning for Adaptive Behavior." Proceedings of the International Conference on Automated Planning and Scheduling 30 (June 1, 2020): 66–74. http://dx.doi.org/10.1609/icaps.v30i1.6646.

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A planning domain, as any model, is never “complete” and inevitably makes assumptions on the environment's dynamic. By allowing the specification of just one domain model, the knowledge engineer is only able to make one set of assumptions, and to specify a single objective-goal. Borrowing from work in Software Engineering, we propose a multi-tier framework for planning that allows the specification of different sets of assumptions, and of different corresponding objectives. The framework aims to support the synthesis of adaptive behavior so as to mitigate the intrinsic risk in any planning modeling task. After defining the multi-tier planning task and its solution concept, we show how to solve problem instances by a succinct compilation to a form of non-deterministic planning. In doing so, our technique justifies the applicability of planning with both fair and unfair actions, and the need for more efforts in developing planning systems supporting dual fairness assumptions.
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42

Hamin, Elisabeth, Yaser Abunnasr, Max Roman Dilthey, Pamela Judge, Melissa Kenney, Paul Kirshen, Thomas Sheahan, et al. "Pathways to Coastal Resiliency: The Adaptive Gradients Framework." Sustainability 10, no. 8 (July 26, 2018): 2629. http://dx.doi.org/10.3390/su10082629.

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Current and future climate-related coastal impacts such as catastrophic and repetitive flooding, hurricane intensity, and sea level rise necessitate a new approach to developing and managing coastal infrastructure. Traditional “hard” or “grey” engineering solutions are proving both expensive and inflexible in the face of a rapidly changing coastal environment. Hybrid solutions that incorporate natural, nature-based, structural, and non-structural features may better achieve a broad set of goals such as ecological enhancement, long-term adaptation, and social benefits, but broad consideration and uptake of these approaches has been slow. One barrier to the widespread implementation of hybrid solutions is the lack of a relatively quick but holistic evaluation framework that places these broader environmental and societal goals on equal footing with the more traditional goal of exposure reduction. To respond to this need, the Adaptive Gradients Framework was developed and pilot-tested as a qualitative, flexible, and collaborative process guide for organizations to understand, evaluate, and potentially select more diverse kinds of infrastructural responses. These responses would ideally include natural, nature-based, and regulatory/cultural approaches, as well as hybrid designs combining multiple approaches. It enables rapid expert review of project designs based on eight metrics called “gradients”, which include exposure reduction, cost efficiency, institutional capacity, ecological enhancement, adaptation over time, greenhouse gas reduction, participatory process, and social benefits. The framework was conceptualized and developed in three phases: relevant factors and barriers were collected from practitioners and experts by survey; these factors were ranked by importance and used to develop the initial framework; several case studies were iteratively evaluated using this technique; and the framework was finalized for implementation. The article presents the framework and a pilot test of its application, along with resources that would enable wider application of the framework by practitioners and theorists.
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Kang, Liang, and Lian Cheng Mao. "Path Planning for Nonholonomic Mobile Robot in Dynamic Environment." Applied Mechanics and Materials 462-463 (November 2013): 771–74. http://dx.doi.org/10.4028/www.scientific.net/amm.462-463.771.

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Based on introduction of the fluid diffusion energy, the model for path planning is presented. The adaptive mesh is used to solve the equation model for path planning. Based on the dynamic model and kinematic constraints of the nonholonomic mobile robot, a trajectory tracking controller is designed. Theory and calculation results prove that, as a new method for mobile robot path planning, the equation of the fluid diffusion energy for nonholonomic mobile robot path planning is feasible and effective.
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44

Zandvoort, Mark, Nora Kooijmans, Paul Kirshen, and Adri van den Brink. "Designing with Pathways: A Spatial Design Approach for Adaptive and Sustainable Landscapes." Sustainability 11, no. 3 (January 22, 2019): 565. http://dx.doi.org/10.3390/su11030565.

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Despite rising attention to pathways thinking in multiple domains such as climate adaptation, energy supply planning, and flood risk management, their spatial translation is so far understudied. We set out to study how spatial design based on pathways thinking can help develop more adaptive and sustainable landscapes. Using landscape analysis, field research, and research-through-designing in a case study on climate resilience in Boston (USA), we argue for better understanding of the spatial and design consequences of pathways in general. Our results indicate that pathways can be spatially translated, demanding landscape-informed choices when sequencing different policy actions. We found that spatial designing makes the landscape consequences of pathways transparent and enables policy-makers to replace the input of policy actions with spatial interventions, select pathways according to different underlying design strategies, use the mapped pathways to initiate an iterative research-through-designing process to test and inform different designs, and spatially visualize the pathways and possible sequences of actions. We conclude that policy-makers should be cognizant about the spatial implications of pathways and offer directions to enrich applications of pathways thinking for achieving adaptive and sustainable landscapes.
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Zhang, Dehui, Xiaoming You, Sheng Liu, and Han Pan. "Dynamic Multi-Role Adaptive Collaborative Ant Colony Optimization for Robot Path Planning." IEEE Access 8 (2020): 129958–74. http://dx.doi.org/10.1109/access.2020.3009399.

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46

Kim, Woojae, Mark A. Pitt, Zhong-Lin Lu, and Jay I. Myung. "Planning Beyond the Next Trial in Adaptive Experiments: A Dynamic Programming Approach." Cognitive Science 41, no. 8 (December 18, 2016): 2234–52. http://dx.doi.org/10.1111/cogs.12467.

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47

Böck, Michelle, Kjell Eriksson, and Anders Forsgren. "On the interplay between robustness and dynamic planning for adaptive radiation therapy." Biomedical Physics & Engineering Express 5, no. 4 (May 16, 2019): 045004. http://dx.doi.org/10.1088/2057-1976/ab1bfc.

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48

Prasad, Pooja, Annelieke Duker, Charlotte de Fraiture, and Pieter van der Zaag. "Irrigation development under uncertainty: A call for adaptive investment pathways." Environmental Science & Policy 140 (February 2023): 104–10. http://dx.doi.org/10.1016/j.envsci.2022.11.017.

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49

Jacobs, Brent, Louise Boronyak, Polly Mitchell, Miriam Vandenberg, and Bronwyn Batten. "Towards a climate change adaptation strategy for national parks: Adaptive management pathways under dynamic risk." Environmental Science & Policy 89 (November 2018): 206–15. http://dx.doi.org/10.1016/j.envsci.2018.08.001.

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50

Ionescu, Tudor B. "Adaptive Simplex Architecture for Safe, Real-Time Robot Path Planning." Sensors 21, no. 8 (April 7, 2021): 2589. http://dx.doi.org/10.3390/s21082589.

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The paper addresses the problem of using machine learning in practical robot applications, like dynamic path planning with obstacle avoidance, so as to achieve the performance level of machine learning model scorers in terms of speed and reliability, and the safety and accuracy level of possibly slower, exact algorithmic solutions to the same problems. To this end, the existing simplex architecture for safety assurance in critical systems is extended by an adaptation mechanism, in which one of the redundant controllers (called a high-performance controller) is represented by a trained machine learning model. This model is retrained using field data to reduce its failure rate and redeployed continuously. The proposed adaptive simplex architecture (ASA) is evaluated on the basis of a robot path planning application with dynamic obstacle avoidance in the context of two human-robot collaboration scenarios in manufacturing. The evaluation results indicate that ASA enables a response by the robot in real time when it encounters an obstacle. The solution predicted by the model is economic in terms of path length and smoother than analogous algorithmic solutions. ASA ensures safety by providing an acceptance test, which checks whether the predicted path crosses the obstacle; in which case a suboptimal, yet safe, solution is used.
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