{ "item_title" : "Algorithmic Probability and Friends. Bayesian Prediction and Artificial Intelligence", "item_author" : [" David L. Dowe "], "item_description" : "Introduction to Ray Solomonoff 85th Memorial Conference.- Ray Solomonoff and the New Probability.- Universal Heuristics: How Do Humans Solve Unsolvable Problems?.- Partial Match Distance.- Falsification and Future Performance.- The Semimeasure Property of Algorithmic Probability - Feature or Bug?.- Inductive Inference and Partition Exchangeability in Classification.- Learning in the Limit: A Mutational and Adaptive Approach.- Algorithmic Simplicity and Relevance.- Categorisation as Topographic Mapping between Uncorrelated Spaces.- Algorithmic Information Theory and Computational Complexity.- A Critical Survey of Some Competing Accounts of Concrete Digital Computation.- Further Reflections on the Timescale of AI.- Towards Discovering the Intrinsic Cardinality and Dimensionality of Time Series Using MDL.- Complexity Measures for Meta-learning and Their Optimality.- Design of a Conscious Machine.- No Free Lunch versus Occam's Razor in Supervised Learning.- An Approximation of the Universal Intelligence Measure.- Minimum Message Length Analysis of the Behrens-Fisher Problem.- MMLD Inference of Multilayer Perceptrons.- An Optimal Superfarthingale and Its Convergence over a Computable Topological Space.- Diverse Consequences of Algorithmic Probability.- An Adaptive Compression Algorithm in a Deterministic World.- Toward an Algorithmic Metaphysics.- Limiting Context by Using the Web to Minimize Conceptual Jump Size.- Minimum Message Length Order Selection and Parameter Estimation of Moving Average Models.- Abstraction Super-Structuring Normal Forms: Towards a Theory of Structural Induction.- Locating a Discontinuity in a Piecewise-Smooth Periodic Function Using Bayes Estimation.- On the Application of Algorithmic Probability to Autoregressive Models.- Principles of Solomonoff Induction and AIXI.- MDL/Bayesian Criteria Based on Universal Coding/Measure.- Algorithmic Analogies to Kamae-Weiss Theorem on Normal Numbers.- (Non-)Equivalence of Universal Priors.- A Syntactic Approach to Prediction.- Developing Machine Intelligence within P2P Networks Using a Distributed Associative Memory.", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/3/64/244/957/3642449573_b.jpg", "price_data" : { "retail_price" : "54.99", "online_price" : "54.99", "our_price" : "54.99", "club_price" : "54.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }

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