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The complexity of technical systems increases, breakdowns occur quite often. The mission of organic computing is to tame these challenges by providing degrees of freedom for self-organised behaviour. To achieve these goals, new methods have to be developed. The proposed observer/controller architecture constitutes one way to achieve controlled self-organisation. To improve its design, multi-agent scenarios are investigated. Especially, learning using learning classifier systems is addressed.
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Following the classical work of Norbert Wiener, Ross Ashby, Ludwig von Bertalanffy and many others, the concept of System has been elaborated in different disciplinary fields, allowing interdisciplinary approaches in areas such as Physics, Biology, Chemistry, Cognitive Science, Economics, Engineering, Social Sciences, Mathematics, Medicine, Artificial Intelligence, and Philosophy. The new challenge of Complexity and Emergence has made the concept of System even more relevant to the study of problems with high contextuality. This Special Issue focuses on the nature of new problems arising from the study and modelling of complexity, their eventual common aspects, properties and approaches—already partially considered by different disciplines—as well as focusing on new, possibly unitary, theoretical frameworks. This Special Issue aims to introduce fresh impetus into systems research when the possible detection and correction of mistakes require the development of new knowledge. This book contains contributions presenting new approaches and results, problems and proposals. The context is an interdisciplinary framework dealing, in order, with electronic engineering problems; the problem of the observer; transdisciplinarity; problems of organised complexity; theoretical incompleteness; design of digital systems in a user-centred way; reaction networks as a framework for systems modelling; emergence of a stable system in reaction networks; emergence at the fundamental systems level; behavioural realization of memoryless functions.
Uncertainty --- Noise --- Memory Less Functions --- Self-Organisation --- Complexity --- Design --- Meta-Structures --- Scale Invariance --- Organisations --- Quantum-Like Systems --- Emergence --- Observer --- Cybernetic Approach --- Power Laws --- Reaction Networks --- Simulations --- Uniqueness --- Irreversibility --- Systems --- Incompleteness --- Computation --- Non-Linearity --- Coherence
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Self-Organised Schools: Educational Leadership and Innovative Learning Environments describes the results of the research we carried out at fourteen Italian schools that highlight how there is a positive correlation between the capabilities of school self-organization and the innovativeness of learning environments: in other words, the more self-organized schools are, the more innovative learning environments are. The results of this work are part of the strand of research of bottom-up emergency and self-organization, an extremely fruitful trend as shown by Sugata Mitra, the founder of the Self-Organized Learning Environments, according to whom, "education is a self-organized system where learning is an emerging phenomenon". This book gives new insights on self-organization studies, and most of all, to the idea that change - organizational and educational innovation - sparks from the bottom. This book is aimed specifically at school principals of all levels, scholastic reformers, educational scholars, organisation and management consultants who want to innovate learning and management of learning. These actors will benefit drawing useful examples from more than thirty different learning environments worldwide, fourteen examples of schools that self-organize, two frameworks - and two ready-to-use questionnaires - measuring the innovativeness of a learning environment, and the capability of a school to self-organize. Self-organization is the most fascinating future of innovative principals
Self-managed learning. --- Self-directed learning --- SML (Self-managed learning) --- Employees --- Organizational learning --- Training of --- bottom-up emergency --- education --- educational leadership --- Italy --- innovation --- innovative learning environments --- leadership --- learning --- learning environments --- self-organisation
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Facing ecological catastrophe, more and more people engage themselves. Among radical ecology movements a consideration for rural and peasant struggles grows. In March 2024, the “Hirondelles” (swallows) collective occupied the abandoned place of Pontareuse in French-speaking Switzerland. They created an agroecological project, and a model that wishes to radically transform society. Through a fieldwork as participatory observer, and qualitative interviews, this recherche aims to document how activist trajectories and engagement of members of the swallows collective nourish a radical vision of agroecology. Five criteria have emerged from the fieldwork to appreciate the radicality of the collective: 1) anticapitalism, 2) intersectionality, 3) self-organisation, 4) a different relationship to the living and 5) the collective dimension. Face à la catastrophe écologique, de nombreuses personnes se mobilisent, et on observe actuellement une prise en considération des luttes paysannes dans les mouvements d’écologie radicale. En mars 2024, le collectif des Hirondelles a occupé un endroit désaffecté en Suisse romande pour y proposer un projet agroécologique, et présenter un modèle pour transformer en profondeur la société. A travers un terrain en participation observante, et des entretiens qualitatifs, ce travail a pour but de documenter dans quelle mesure les trajectoires militantes et l’engagement des membres du collectif nourrissent une vision radicale de l’agroécologie. Cinq critères ont été émergé du terrain pour qualifier le collectif en radicalité : 1) l’anticapitalisme, 2) l’intersectionnalité, 3) l’autogestion, 4) le rapport au monde différent et 5) la dimension collective.
agroecology --- occupation --- radical --- swallows --- Pontareuse --- Switzerland --- anticapitalism --- intersectionality --- self-organisation --- cosmology --- collective --- agroécologie --- occupation --- radical --- Hirondelles --- Pontareuse --- Suisse --- anticapitalisme --- intersectionnalité --- autogestion --- cosmologie --- collectif --- Sciences du vivant > Agriculture & agronomie --- Sciences sociales & comportementales, psychologie > Anthropologie --- Sciences sociales & comportementales, psychologie > Sociologie & sciences sociales
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This book contains the contributions of the Special Issue entitled "Agents and Robots for Reliable Engineered Autonomy". The Special Issue was based on the successful first edition of the "Workshop on Agents and Robots for reliable Engineered Autonomy" (AREA 2020), co-located with the 24th European Conference on Artificial Intelligence (ECAI 2020). The aim was to bring together researchers from autonomous agents, as well as software engineering and robotics communities, as combining knowledge from these three research areas may lead to innovative approaches that solve complex problems related to the verification and validation of autonomous robotic systems.
Technology: general issues --- belief-desire-intention (BDI) --- jason --- robot operating system (ROS) --- robotic agents --- collective autonomy --- self-organisation --- aggregate computing --- multi-agent systems --- coordination --- robotics --- software engineering --- verification and validation --- human-agent interaction --- Rules of the Road --- Autonomous Vehicles --- agents --- model checking --- self-driving vehicle --- formal verification --- rational agent --- decision-making --- ROS --- belief-desire-intention (BDI) --- jason --- robot operating system (ROS) --- robotic agents --- collective autonomy --- self-organisation --- aggregate computing --- multi-agent systems --- coordination --- robotics --- software engineering --- verification and validation --- human-agent interaction --- Rules of the Road --- Autonomous Vehicles --- agents --- model checking --- self-driving vehicle --- formal verification --- rational agent --- decision-making --- ROS
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This book contains the contributions of the Special Issue entitled "Agents and Robots for Reliable Engineered Autonomy". The Special Issue was based on the successful first edition of the "Workshop on Agents and Robots for reliable Engineered Autonomy" (AREA 2020), co-located with the 24th European Conference on Artificial Intelligence (ECAI 2020). The aim was to bring together researchers from autonomous agents, as well as software engineering and robotics communities, as combining knowledge from these three research areas may lead to innovative approaches that solve complex problems related to the verification and validation of autonomous robotic systems.
Technology: general issues --- belief-desire-intention (BDI) --- jason --- robot operating system (ROS) --- robotic agents --- collective autonomy --- self-organisation --- aggregate computing --- multi-agent systems --- coordination --- robotics --- software engineering --- verification and validation --- human–agent interaction --- Rules of the Road --- Autonomous Vehicles --- agents --- model checking --- self-driving vehicle --- formal verification --- rational agent --- decision-making --- ROS --- n/a --- human-agent interaction
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This book contains the contributions of the Special Issue entitled "Agents and Robots for Reliable Engineered Autonomy". The Special Issue was based on the successful first edition of the "Workshop on Agents and Robots for reliable Engineered Autonomy" (AREA 2020), co-located with the 24th European Conference on Artificial Intelligence (ECAI 2020). The aim was to bring together researchers from autonomous agents, as well as software engineering and robotics communities, as combining knowledge from these three research areas may lead to innovative approaches that solve complex problems related to the verification and validation of autonomous robotic systems.
belief-desire-intention (BDI) --- jason --- robot operating system (ROS) --- robotic agents --- collective autonomy --- self-organisation --- aggregate computing --- multi-agent systems --- coordination --- robotics --- software engineering --- verification and validation --- human–agent interaction --- Rules of the Road --- Autonomous Vehicles --- agents --- model checking --- self-driving vehicle --- formal verification --- rational agent --- decision-making --- ROS --- n/a --- human-agent interaction
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In current times, highly complex and urgent policy problems—e.g., climate change, rapid urbanization, equitable access to key services, land rights, and massive human resettlement—challenge citizens, NGOs, private corporations, and governments at all levels. These policy problems, often called ‘wicked’, involve multiple causal factors, anticipated and unanticipated effects, as well as high levels of disagreement among stakeholders about the nature of the problem and the appropriateness of solutions. Given the wickedness of such policy problems, interdisciplinary and longitudinal research is required, integrating and harnessing the diverse skills and knowledge of urban planners, anthropologists, geographers, geo-information scientists, economists, and others. This Special Issue promotes innovative concepts, methods, and tools, as well as the role of geo-information, to help (1) analyze alternative policy solutions, (2) facilitate stakeholder dialogue, and (3) explore possibilities for tackling wicked problems related to climate change, rapid urbanization, equitable access to key services (such as water and health), land rights, and human resettlements in high-, middle-, and low-income countries in the North and South. Such integrative approaches can deepen our understanding of how different levels of government and governance reach consensus, despite diverging beliefs and preferences. Due to the particularly complex spatiotemporal characteristics of wicked policy problems, innovative concepts, alternative methods, and new geo-information tools play a significant role.
spatial data infrastructures --- n/a --- water point mapping --- complex adaptive systems --- FCM (Fuzzy Cognitive Mapping) --- spatial data infrastructure (SDI) --- Danube region --- longitudinal analysis --- geospatial data --- administrative technologies --- data gaps --- SDI development --- functionality --- key services --- interactive mapping tools --- the Netherlands --- coordination --- New York City --- renewable energy --- energy governance --- social acceptance --- large-scale base map --- Citizen Science --- self-organisation --- European Union Strategy for the Danube Region --- dashboard --- climate change --- Flanders --- information communication technologies (ICTs) --- heat wave --- Tanzania --- vulnerability --- rural water supply --- ICT4D --- income groups --- water points --- e-services --- information infrastructure --- Belgium --- mobile phone --- maptable --- climate governance --- governance --- rural water governance
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This open access book addresses the most recent developments in cloud computing such as HPC in the Cloud, heterogeneous cloud, self-organising and self-management, and discusses the business implications of cloud computing adoption. Establishing the need for a new architecture for cloud computing, it discusses a novel cloud management and delivery architecture based on the principles of self-organisation and self-management. This focus shifts the deployment and optimisation effort from the consumer to the software stack running on the cloud infrastructure. It also outlines validation challenges and introduces a novel generalised extensible simulation framework to illustrate the effectiveness, performance and scalability of self-organising and self-managing delivery models on hyperscale cloud infrastructures. It concludes with a number of potential use cases for self-organising, self-managing clouds and the impact on those businesses.
Business. --- Business logistics. --- Big data. --- Industries. --- Architecture, Computer. --- Management information systems. --- Computer science. --- Business and Management. --- Big Data/Analytics. --- Logistics. --- Management of Computing and Information Systems. --- Computer System Implementation. --- Informatics --- Science --- Computer-based information systems --- EIS (Information systems) --- Executive information systems --- MIS (Information systems) --- Sociotechnical systems --- Information resources management --- Management --- Architecture, Computer --- Industrial production --- Industry --- Economics --- Data sets, Large --- Large data sets --- Supply chain management --- Industrial management --- Logistics --- Trade --- Commerce --- Communication systems --- Data sets --- Information Systems. --- Computer network architectures. --- Architectures, Computer network --- Network architectures, Computer --- Computer architecture --- Industries, Primitive --- resource management --- blueprints --- application --- supply chain --- PaaS --- Saas --- big data --- HPCaaS --- self-management --- self-organisation --- Quantitative research. --- Electronic data processing --- Computer systems. --- Data Analysis and Big Data. --- IT Operations. --- Management. --- ADP systems (Computer systems) --- Computing systems --- Systems, Computer --- Electronic systems --- Cyberinfrastructure --- Data analysis (Quantitative research) --- Exploratory data analysis (Quantitative research) --- Quantitative analysis (Research) --- Quantitative methods (Research) --- Research
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There is overwhelming evidence, from laboratory experiments, observations, and computational studies, that coherent structures can cause intermittent transport, dramatically enhancing transport. A proper description of this intermittent phenomenon, however, is extremely difficult, requiring a new non-perturbative theory, such as statistical description. Furthermore, multi-scale interactions are responsible for inevitably complex dynamics in strongly non-equilibrium systems, a proper understanding of which remains a main challenge in classical physics. As a remarkable consequence of multi-scale interaction, a quasi-equilibrium state (the so-called self-organisation) can however be maintained. This special issue aims to present different theories of statistical mechanics to understand this challenging multiscale problem in turbulence. The 14 contributions to this Special issue focus on the various aspects of intermittency, coherent structures, self-organisation, bifurcation and nonlocality. Given the ubiquity of turbulence, the contributions cover a broad range of systems covering laboratory fluids (channel flow, the Von Kármán flow), plasmas (magnetic fusion), laser cavity, wind turbine, air flow around a high-speed train, solar wind and industrial application.
non-locality --- hybrid (U)RANS-LES --- channel flow --- thermodynamics --- Lévy noise --- non-local theory --- low speed streaks --- drop breakage --- pipe flow boundary layer --- bifurcation --- Langevin equation --- attached and separated flows --- anomalous diffusion --- kinetic theory --- stochastic processes --- self-organisation --- spatiotemporal chaos --- chaos --- bifurcations --- turbulent flow --- Lyapunov theory --- Rushton turbine --- turbulence --- intermittency --- information length --- denoise --- microcavity laser --- free vortex wake --- IDDES methodology --- local intermittency --- control strategy --- population balance equation --- Tsallis entropy --- coherent structures --- Fokker-Planck equation --- energy cascade --- fluid dynamics --- high efficiency impeller --- fractals --- large eddy simulation --- shear flows --- heat transport --- multifractal --- drop coalescence --- continuous wavelet transform --- T-junction --- scaling properties --- floating wind turbine --- scaling --- fractional Fokker–Plank equation --- magnetic confinement fusion --- multi-scale problem --- coherent structure --- solar wind --- trailing-edge flap --- turbulent transition --- turbulent boundary layer --- complex dynamics --- statistical mechanics
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