{"product_id":"symbolic-and-quantitative-approaches-to-reasoning-with-uncertainty-9783032051332","title":"Symbolic and Quantitative Approaches to Reasoning with Uncertainty","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e\u003cstrong\u003e.- Bayesian Networks.\u003cbr\u003e\u003c\/strong\u003e.- Inverse Marginalisation for Safely Expanding Bayesian Networks.\u003cbr\u003e.- Classifying Control Room Operators’ Performance Using Bayesian Networks.\u003cbr\u003e.- Wrong Data Detection in Electricity Grids Using Bayesian Networks.\u003cbr\u003e.- Maximum Entropy-based Quantification for Probability Elicitation in Bayesian Networks.\u003cbr\u003e.- Involving Uncertainty in Bayesian Network Tuning.\u003cbr\u003e\u003cstrong\u003e.- Learning and Probability.\u003cbr\u003e\u003c\/strong\u003e.- Discrete Minimax Probabilistic Classifier Chains for Multi-Label Classification Under Label Imbalance.\u003cbr\u003e.- Noise-Robust Weighted Logistic Regression Based on Outlier Detection with Expectation Maximization.\u003cbr\u003e.- From RBMs to BN2A models: Parameter Transformation for Interpretable Educational Diagnostics.\u003cbr\u003e.- Denoising the Future: Top-p Distributions for Moving Through Time.\u003cbr\u003e.- Distortions of lower probabilities as a tool for avoiding conflict.\u003cbr\u003e.- Analogical proportions between probabilities.\u003cbr\u003e.- Robust Explanations: The Case of Prime Implicants.\u003cbr\u003e.- Consensus in Motion: A Case of Dynamic Rationality of Sequential Learning in Probability Aggregation.\u003cbr\u003e.- Arithmetic Circuit Compilation using Symbolic Probabilistic Inference and Indicator-Determined Buckets.\u003cbr\u003e\u003cstrong\u003e.- Game Theory and Social Choice.\u003cbr\u003e\u003c\/strong\u003e.- Counting Agents in Partially Observable Stochastic Games.\u003cbr\u003e.- Expected Shapley Value is Shapley Value for Expected Utility Game.\u003cbr\u003e.- Upper Expected Meeting Times for Interdependent Stochastic Agents.\u003cbr\u003e.- Elicit and Weigh: A Voting-Based Approach to Optimal Weights in Imprecise Linear Pooling.\u003cbr\u003e\u003cstrong\u003e.- Conditionals, Inference, Change.\u003cbr\u003e\u003c\/strong\u003e.- Gärdenfors’s Supplementary Postulates for Partial Product Contractions.\u003cbr\u003e.- Explaining Changes in Total Preorders and Ranking Functions.\u003cbr\u003e.- Implementing Lexicographic Inference Using Partial MaxSAT.\u003cbr\u003e.- Conditional Logics of Nondeterministic Change.\u003cbr\u003e.- Towards an algebraic and probabilistic setting for iterated Boolean conditionals.\u003cbr\u003e.- On measuring the possibility of selection-function based conditionals, general updates, and qualitative capacities.\u003cbr\u003e.- Possibilistic logic and inference for linear systems.\u003cbr\u003e\u003cstrong\u003e.- Argumentation.\u003cbr\u003e\u003c\/strong\u003e.- Assumption-Based Argumentation for General Extended Disjunctive Logic Programming with Negation as Failure in the Head.\u003cbr\u003e.- Winning by Numbers: Connecting Strong Admissibility to Optimal Play in Argumentation.\u003cbr\u003e.- First steps towards forgetting in ASPIC+.\u003cbr\u003e.- Strong Admissibility and Infinite Argumentation Frameworks.\u003cbr\u003e.- Recognizing the Impact among Relevant Elements for Reaching Stability in Incomplete Argumentation Frameworks.\u003cbr\u003e\u003cstrong\u003e.- Logic and Inconsistency.\u003cbr\u003e\u003c\/strong\u003e.- Privacy-Preserving Inconsistency Measurement.\u003cbr\u003e.- Using Sentence Embeddings to Identify Conflicts in Propositional Logic.\u003cbr\u003e.- Dynamic Logic for Quantum Probability.\u003cbr\u003e.- A Kripke Semantics for Monadic BL Chains.\u003c\/p\u003e","brand":"Springer","offers":[{"title":"Default Title","offer_id":53195523490135,"sku":"9783032051332","price":44.99,"currency_code":"GBP","in_stock":true}],"url":"https:\/\/bookcurl.com\/products\/symbolic-and-quantitative-approaches-to-reasoning-with-uncertainty-9783032051332","provider":"Book Curl","version":"1.0","type":"link"}