04006nam 2200505 450 99654682980331620230730235810.03-031-28719-310.1007/978-3-031-28719-0(MiAaPQ)EBC7218098(Au-PeEL)EBL7218098(OCoLC)1373987358(DE-He213)978-3-031-28719-0(PPN)269094164(EXLCZ)992630524580004120230730d2023 uy 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierActive inference third international workshop, IWAI 2022, Grenoble, France, September 19, 2022, revised selected papers /Christopher L. Buckley [and six others], editors1st ed. 2023.Cham, Switzerland :Springer Nature Switzerland AG,[2023]©20231 online resource (383 pages)Communications in Computer and Information Science,1865-0937 ;1721Print version: Buckley, Christopher L. Active Inference Cham : Springer,c2023 9783031287183 Includes bibliographical references and index.Preventing Deterioration of Classification Accuracy in Predictive Coding Networks -- Interpreting systems as solving POMDPs: a step towards a formal understanding of agency -- Disentangling Shape and Pose for Object-Centric Deep Active Inference Models -- Object-based Active Inference -- Knitting a Markov blanket is hard when you are out-of-equilibrium: two examples in canonical nonequilibrium models -- Spin glass systems as collective active inference -- Mapping Husserlian phenomenology onto active inference -- The Role of Valence and Meta-awareness in Mirror Self-recognition Using Hierarchical Active Inference -- World model learning from demonstrations with active inference: application to driving behavior -- Active Blockference: cadCAD with Active Inference for cognitive systems modeling -- Active Inference Successor Representations -- Learning Policies for Continuous Control via Transition Models -- Attachment Theory in an Active Inference Framework: How Does Our Inner Model Take Shape? -- Capsule Networks as Generative Models -- Home run: finding your way home by imagining trajectories -- A Novel Model for Novelty: Modeling the Emergence of Innovation from Cumulative Culture -- Active Inference and Psychology of Expectations: A study of formalizing ViolEx -- AIXI, FEP-AI, and integrated world models: Towards a unified understanding of intelligence and consciousness -- Intention Modulation for Multi-Step Tasks in Continuous Time Active Inference -- Learning Generative Models for Active Inference using Tensor Networks -- A Worked Example of the Bayesian Mechanics of Classical Objects -- A message passing perspective on planning under Active Inference -- Efficient search of active inference policy spaces using k-means -- Value Cores for Inner and Outer Alignment: Simulating Personality Formation via Iterated Policy Selection and Preference Learning with Self-World Modeling Active Inference Agent -- Deriving time-averaged active inference from control principles.This volume constitutes the papers of the 3rd International Workshop on Active Inference, IWAI 2022, held in Grenoble, France, in conjunction with ECML/PKDD, on September 19, 2022. The 25 revised full papers presented in this book were carefully reviewed and selected from 31 submissions.Communications in Computer and Information Science,1865-0937 ;1721Artificial intelligenceCongressesInferenceCongressesArtificial intelligenceInference006.3Buckley Christopher L.MiAaPQMiAaPQMiAaPQBOOK996546829803316Active Inference3085120UNISA04320nam 22007335 450 991043803530332120250610110549.03-642-38300-910.1007/978-3-642-38300-7(CKB)3710000000015861(EBL)1398297(SSID)ssj0000988178(PQKBManifestationID)11540870(PQKBTitleCode)TC0000988178(PQKBWorkID)10951414(PQKB)11112951(DE-He213)978-3-642-38300-7(MiAaPQ)EBC6310651(MiAaPQ)EBC1398297(Au-PeEL)EBL1398297(CaPaEBR)ebr10968910(OCoLC)856162539(PPN)172426952(MiAaPQ)EBC29449144(EXLCZ)99371000000001586120130802d2013 u| 0engur|n|---|||||txtccrIntroduction to Probability and Statistics for Engineers /by Milan Holický1st ed. 2013.Berlin, Heidelberg :Springer Berlin Heidelberg :Imprint: Springer,2013.1 online resource (188 p.)Description based upon print version of record.3-642-38299-1 Foreword -- 1 Introduction -- 2.Basic Concepts of Probability -- 3.Evaluation of Statistical Data.- 4.Distributions of Random Variables -- 5.Selected Models of Discrete Variables -- 6.Selected Models of Continuous Variables -- 7.Functions of Random Variables -- 8.Estimations of the Population Parameters -- 9.Fractiles of Random Variables -- 10.Testing of Statistical Hypotheses -- 11.Correlation and Regression -- 12.Random Functions -- Appendixes.  .The theory of probability and mathematical statistics is becoming an indispensable discipline in many branches of science and engineering. This is caused by increasing significance of various uncertainties affecting performance of complex technological systems. Fundamental concepts and procedures used in analysis of these systems are often based on the theory of probability and mathematical statistics. The book sets out fundamental principles of the probability theory, supplemented by theoretical models of random variables, evaluation of experimental data, sampling theory, distribution updating and tests of statistical hypotheses. Basic concepts of Bayesian approach to probability and two-dimensional random variables, are also covered. Examples of reliability analysis and risk assessment of technological systems are used throughout the book to illustrate basic theoretical concepts and their applications. The primary audience for the book includes undergraduate and graduate students of science and engineering, scientific workers and engineers and specialists in the field of reliability analysis and risk assessment. Except basic knowledge of undergraduate mathematics no special prerequisite is required.StatisticsEngineering designEngineeringProbabilitiesStatistics for Engineering, Physics, Computer Science, Chemistry and Earth Scienceshttps://scigraph.springernature.com/ontologies/product-market-codes/S17020Engineering Designhttps://scigraph.springernature.com/ontologies/product-market-codes/T17020Engineering, generalhttps://scigraph.springernature.com/ontologies/product-market-codes/T00004Probability Theory and Stochastic Processeshttps://scigraph.springernature.com/ontologies/product-market-codes/M27004Statistics.Engineering design.Engineering.Probabilities.Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.Engineering Design.Engineering, general.Probability Theory and Stochastic Processes.519.5Holický Milanauthttp://id.loc.gov/vocabulary/relators/aut345420MiAaPQMiAaPQMiAaPQBOOK9910438035303321Introduction to Probability and Statistics for Engineers2494434UNINA