Suchergebnisse

Rethinking rationality / Gerd Gigerenzer and Reinhard Selten -- What is bounded rationality? / Reinhard Selten -- The adaptive toolbox / Gerd Gigerenzer -- Fast and frugal heuristics for environmentally bounded minds / Peter M. Todd -- Evolutionary adaptation and the economic concept of bounded rationality--a dialogue / Peter Hammerstein -- Group report : Is there evidence for an adaptive toolbox? / Abdolkarim Sadrieh ... [et al.] -- The fiction of optimization / Gary Klein -- Preferential choice and adaptive strategy use / John W. Payne and James R. Bettman -- Comparing fast and frugal heuristics and optimal models / Laura Martignon -- Group report : Why and when do simple heuristics work? / Daniel G. Goldstein ... [et al.] -- Emotions and cost-benefit assessment : the role of shame and self-esteem in risk taking / Daniel M.T. Fessler -- Simple reinforcement learning models and reciprocation in the prisoner's dilemma game / Ido Erev and Alvin E. Roth -- Imitation, social learning, and preparedness as mechanisms of bounded rationality / Kevin N. Laland -- Decision making in superorganisms : how collective wisdom arises from the poorly informed masses / Thomas D. Seeley --Group report : Effects of emotions and social processes on bounded rationality / Barbara A. Mellers ... [et al.] -- Norms and bounded rationality / Robert Boyd and Peter J. Richerson -- Prominence theory as a tool to model boundedly rational decisions / Wulf Albers -- Goodwill accounting and the process of exchange / Kevin A. McCabe and Vernon L. Smith -- Group report : What is the role of culture in bounded rationality? / Joseph Henrich ... [et al.]

Cover -- Half Title -- Title Page -- Copyright Page -- Table of Contents -- Preface -- 1 How We Define Machine Learning -- 2 Preliminaries -- 2.1 Data and Dataset Types -- 2.1.1 Cross-Sectional -- 2.1.2 Time-Series -- 2.1.3 Panel -- 2.2 Plots -- 2.3 Probability Distributions with R -- 2.4 Regressions -- 2.4.1 Ordinary Least Squares (OLS) -- 2.4.2 Maximum Likelihood Estimators -- 2.4.3 Estimating MLE with R -- 2.5 BLUE -- 2.6 Modeling the Data -- 2.7 Causal vs. Predictive Models -- 2.7.1 Causal Models -- 2.7.2 Predictive Models -- 2.8 Simulation -- Part 1 Formal Look at Prediction -- 3 Bias-Variance Tradeoff -- 3.1 Estimator and MSE -- 3.2 Prediction - MSPE -- 3.3 Biased Estimator as a Predictor -- 3.4 Dropping a Variable in a Regression -- 3.5 Uncertainty in Estimations and Predictions -- 3.6 Prediction Interval for Unbiased OLS Predictor -- 4 Overfitting -- Part 2 Nonparametric Estimations -- 5 Parametric Estimations -- 5.1 Linear Probability Models (LPM) -- 5.2 Logistic Regression -- 5.2.1 Estimating Logistic Regression -- 5.2.2 Cost Functions -- 5.2.3 Deviance -- 5.2.4 Predictive Accuracy -- 6 Nonparametric Estimations - Basics -- 6.1 Density Estimations -- 6.2 Kernel Regressions -- 6.3 Regression Splines -- 6.4 MARS - Multivariate Adaptive Regression Splines -- 6.5 GAM - Generalized Additive Model -- 7 Smoothing -- 7.1 Using Bins -- 7.2 Kernel Smoothing -- 7.3 Locally Weighted Regression loess() -- 7.4 Smooth Spline Regression -- 7.5 Multivariate Loess -- 8 Nonparametric Classifier - kNN -- 8.1 mnist Dataset -- 8.2 Linear Classifiers (again) -- 8.3 k-Nearest Neighbors -- 8.4 kNN with Caret -- 8.4.1 mnist_27 -- 8.4.2 Adult Dataset -- Part 3 Self-Learning -- 9 Hyperparameter Tuning -- 9.1 Training, Validation, and Test Datasets -- 9.2 Splitting the Data Randomly -- 9.3 k-Fold Cross-Validation -- 9.4 Cross-Validated Grid Search.

Wettbewerbsfähig bleiben und die Erfolgsfaktoren Agilität und Selbstorganisation implementieren! Anpassungsfähigkeit, Schnelligkeit, volatile Märkte – nahezu alle Unternehmen müssen sich mit diesen Anforderungen auseinandersetzen – auch größere Unternehmen und Konzerne. Agile Teams alleine sind jedoch keine Antwort, sondern es muss über alle Abteilungen hinweg eine Veränderung in Richtung Agilität und Selbstorganisation stattfinden. Eine kaum lösbare Aufgabe für Unternehmen mit traditionellen Strukturen und Mitarbeitenden, die jahrelang, oftmals jahrzehntelang anders sozialisiert wurden und an ihrer bisherigen Unternehmenskultur festhalten wollen. Dieses Buch zeigt, wie diese Transformation auch in größeren Unternehmen gelingen kann. Wo und wie anfangen? Wie können Hierarchien schrittweise aufgelöst werden? Wie übernehmen Mitarbeitende die Führungsaufgaben? Wie können alle Mitarbeitenden mitgenommen werden, auch die eher schwierigen oder die, deren Macht schmilzt? Welche Rolle spielen die Betriebsräte? Wie führt man so ein Unternehmen? Was sind adaptive Organisationsstrukturen? Das sind nur einige Fragen, die dieses konsequent auf die praktische Umsetzung ausgerichtete Werk beantwortet. - Schritt-für-Schritt-Umsetzungsanleitung und Erfahrungsberichte - Zeigt, wo sich Chancen, aber auch Herausforderungen verbergen - Viele reale Beispiele und praktische Toolbox - Mit Arbeitshilfen und weiteren Infos zum Download

Cover -- Half Title -- Series -- Title -- Copyright -- Contents -- List of Figures -- List of Tables -- 1 An Introduction to Subversive Legal Education -- 2 A Visceral View of Subversion in Legal Education: Teaching and Research in Unusual Domains as a Methodology -- Part I Subverting the Legal Educator's Toolbox -- 3 Antithesis as Subversive Legal Education: Learning Justice Through Injustice in the Artwork of Sandro Botticelli -- 4 Subversion and Perspectivism in Teaching Property Law -- 5 Valuing our Differences: For the Sake of Adaptive Law Schools -- 6 Re-Thinking Assessment in Law -- Part II Subverting the Higher Education Sector -- 7 Can Law Schools Provide Students With a Subversive Legal Education in an Online Learning Environment? -- 8 Hacking the Priestleys -- Part III Subverting Through Courses -- 9 Value and Values in Higher Education: Some Reflections From the UK on the Subversive Dimensions of Historical Approaches in the Study of Law -- 10 Education for Citizenship and Social Justice: Students as Co-Creators -- 11 Unlearning Real Property Law -- 12 The Place of Politics in Teaching International Law -- Part IV Subverting Pathways to the Profession -- 13 Challenging BigLaw: Questioning the Dominant Discourse in Law Student Employment Aspirations -- Index.

As climate change and urban development are closely interlinked and often interact negatively, this edited volume takes Ho Chi Minh City (HCMC), Vietnamℓ́ℓs first mega-urban region as a case study to analyse its vulnerability to climate change and to suggest measures towards a more sustainable urban development. The book offers an overview on land use planning regarding the aspects of urban flooding, urban climate, urban energy and urban mobility as well as spatial views from the angle of urban planning such as the metropolitan level, the city, the neighbourhood and building level. It shows that to a significant degree, measures dealing with climate change can be taken from the toolbox of sustainable urban development and reflects how institutional structures need to change to enhance chances for implementation given socio-cultural and economic constraints. This is merged and integrated into a holistic perspective of planning recommendations, supporting the municipal government to increase its adaptive capacity. The authors are members of a German government funded research project on how to support HCMCℓ́ℓs municipal government to adapt to risks related to climate change.