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[null,"1.","Record Nr.",null,"UNINA9910516003203321"]
[null,null,"Autore",null,"Auer Christian"]
[null,null,"Titolo",null,"The Production and Dissemination of Knowledge in Scotland : La production et la diffusion des savoirs en Écosse / / Lesley Graham"]
[null,null,"Pubbl/distr/stampa",null,"Besançon, : Presses universitaires de Franche-Comté, 2021"]
[null,null,"ISBN",null,"2-84867-895-X"]
[null,null,"Descrizione fisica",null,"1 online resource (229 p.)"]
[null,null,"Collana",null,"Annales littéraires"]
[null,null,"Soggetti",null,"Literature&#44; British Isles"]
[{"$nulls":4},"éducation"]
[{"$nulls":4},"littérature écossaise"]
[{"$nulls":4},"Ecosse"]
[{"$nulls":4},"histoire de l’Ecosse"]
[{"$nulls":4},"Scotland"]
[{"$nulls":4},"education"]
[{"$nulls":4},"history of Scotland"]
[{"$nulls":4},"Scottish literature"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Sommario/riassunto","Education and learning have traditionally been areas in which the national specificity has been promoted and asserted in Scotland and apparently with good reason since for several centuries the Scottish population could claim to be the most thoroughly educated in the world. This achievement was the consequence of the nation’s love affair with the transmission of basic knowledge through schooling and intellectual inquiry which started with the Reformation and culminated in the Scottish Enlightenment.  As a whole, this collection aims to show some small part of the breadth of knowledge created in Scotland and disseminated in and outwith the country. This broad field of interest echoes the wider range of subjects traditionally taught in Scottish schools. It attempts to highlight what is distinctive about the Scottish approach to knowledge acquisition in general while also presenting the areas in which this endeavour overlaps with similar concerns in the rest of the world. The overall impression created is that of a country consistently confident in its ability to create useful knowledge; capable "]
[{"$nulls":4},"of applying that knowledge at home and of sharing it with others."]
[null,"2.","Record Nr.",null,"UNINA9910984686703321"]
[null,null,"Autore",null,"Singh Hemant"]
[null,null,"Titolo",null,"Evolutionary Multi-Criterion Optimization : 13th International Conference, EMO 2025, Canberra, ACT, Australia, March 4–7, 2025, Proceedings, Part II / / edited by Hemant Singh, Tapabrata Ray, Joshua Knowles, Xiaodong Li, Juergen Branke, Bing Wang, Akira Oyama"]
[null,null,"Pubbl/distr/stampa",null,"Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025"]
[null,null,"ISBN",null,"9789819635382"]
[{"$nulls":4},"9819635381"]
[null,null,"Edizione",null,"[1st ed. 2025.]"]
[null,null,"Descrizione fisica",null,"1 online resource (397 pages)"]
[null,null,"Collana",null,"Lecture Notes in Computer Science, , 1611-3349 ; ; 15513"]
[null,null,"Disciplina",null,"006.3"]
[null,null,"Soggetti",null,"Artificial intelligence"]
[{"$nulls":4},"Artificial Intelligence"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,"Nota di contenuto",null,"-- Algorithm analysis.  -- Visual Explanations of Some Problematic Search Behaviors of Frequently Used EMO Algorithms.  -- Numerical Analysis of Pareto Set Modeling.  -- When Is Non-deteriorating Population Update in MOEAs Beneficial?.  -- Analysis of Merge Non-dominated Sorting Algorithm.  -- Comparative Analysis of Indicators for Multi-objective Diversity Optimization.  -- Performance Analysis of Constrained Evolutionary Multi-Objective Optimization Algorithms on Artificial and Real-World Problems.  -- On the Approximation of the Entire Pareto Front of a Constrained Multi objective Optimization Problem.  -- Small Population Size is Enough in Many Cases with External Archives.  -- Surrogates and machine learning.  -- Knowledge Gradient for Multi-Objective Bayesian Optimization with Decoupled Evaluations.  -- Surrogate Strategies for Scalarisation-based Multi-objective Bayesian Optimizers.  -- A Mixed-Fidelity Evaluation Algorithm for Efficient Constrained Multi- and Many-Objective Optimization: First Results.  -- Efficient and Accurate Surrogate-Assisted Approach to Multi-Objective Optimization Using Deep Neural Networks.  -- Large Language Model for Multiobjective Evolutionary Optimization.  -- Multi-Objective Multi-Agent Reinforcement Learning for Autonomous Driving in Mixed-Traffic Environments.  -- Parallel TD3 for Policy Gradient-based Multi-Condition Multi-Objective Optimisation.  -- Multi-criteria decision support.  -- Reliability-based "]
[{"$nulls":4},"MCDM Using Objective Preferences Under Variable Uncertainty.  -- An Efficient Iterative Approach for Uniformly Representing Pareto Fronts.  -- Preference Learning for Multi-objective Reinforcement Learning by Means of Supervised Learning.  -- Bayesian preference elicitation for decision support in multi-objective optimization."]
[null,null,null,"Sommario/riassunto","This two-volume set LNCS 15512-15513 constitutes the proceedings of the 13th International Conference on Evolutionary Multi-Criterion Optimization, EMO 2025, held in Canberra, ACT, Australia, in March 2025. The 38 full papers and 2 extended abstracts presented in this book were carefully reviewed and selected from 63 submissions. The papers are divided into the following topical sections: Part I : Algorithm design; Benchmarking; Applications. Part II : Algorithm analysis; Surrogates and machine learning; Multi-criteria decision support."]