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Teil 1 : us ISBN 9780387096940
内容説明
The papers in this volume comprise the refereed proceedings of the conference ' Artificial Intelligence in Theory and Practice' (IFIP AI 2008), which formed part of the 20th World Computer Congress of IFIP, the International Federation for Information Processing (WCC-2008), in Milan, Italy in September 2008. The conference is organised by the IFIP Technical Committee on Artificial Intelligence (Technical Committee 12) and its Working Group 12.5 (Artificial Intelligence Applications). All papers were reviewed by at least two members of our Program Committee. Final decisions were made by the Executive Program Committee, which comprised John Debenham (University of Technology, Sydney, Australia), Ilias Maglogiannis (University of Aegean, Samos, Greece), Eunika Mercier-Laurent (KIM, France) and myself. The best papers were selected for the conference, either as long papers (maximum 10 pages) or as short papers (maximum 5 pages) and are included in this volume. The international nature of IFIP is amply reflected in the large number of countries represented here. The conference also featured invited talks by Prof. Nikola Kasabov (Auckland University of Technology, New Zealand) and Prof. Lorenza Saitta (University of Piemonte Orientale, Italy). I should like to thank the conference chair, John Debenham for all his efforts and the members of our program committee for reviewing papers to a very tight deadline.
目次
Agents 1.- A Light-Weight Multi-Agent System Manages 802.11 Mesh Networks.- Decisions with multiple simultaneous goals and uncertain causal effects.- Agent Based Frequent Set Meta Mining: Introducing EMADS.- Agents 2.- On the evaluation of MAS development tools.- Information-Based Planning and Strategies.- Teaching Autonomous Agents to Move in a Believable Manner within Virtual Institutions.- Data Mining.- Mining Fuzzy Association Rules from Composite Items.- P-Prism: A Computationally Efficient Approach to Scaling up Classification Rule Induction.- Applying Data Mining to the Study of Joseki.- A Fuzzy Semi-Supervised Support Vector Machines Approach to Hypertext Categorization.- Neural Networks.- Estimation of Neural Network Parameters for Wheat Yield Prediction.- Enhancing RBF-DDA Algorithm's Robustness: Neural Networks Applied to Prediction of Fault-Prone Software Modules.- Learning.- A Study with Class Imbalance and Random Sampling for a Decision Tree Learning System.- Answer Extraction for Definition Questions using Information Gain and Machine Learning.- Batch Reinforcement Learning for Controlling a Mobile Wheeled Pendulum Robot.- Knowledge Management.- Optimizing Relationships Information in Repertory Grids.- Modeling Stories in the Knowledge Management Context to Improve Learning Within Organizations.- Knowledge Modeling Framework for System Engineering Projects.- Foundations.- Machines with good sense: How can computers become capable of sensible reasoning?.- Making Use of Abstract Concepts-Systemic-Functional Linguistics and Ambient Intelligence.- Making Others Believe What They Want.- Foundation for Virtual Experiments to Evaluate Thermal Conductivity of Semi- and Super-Conducting Materials.- Applications 1.- Intelligent Systems Applied to Optimize Building's Environments Performance.- A Comparative Analysis of One-class Structural Risk Minimization by Support Vector Machines and Nearest Neighbor Rule.- Estimation of the Particle Size Distribution of a Latex using a General Regression Neural Network.- Intelligent Advisory System for Designing Plastics Products.- Applications 2.- Modeling the Spread of Preventable Diseases: Social Culture and Epidemiology.- An Intelligent Decision Support System for the Prompt Diagnosis of Malaria and Typhoid Fever in the Malaria Belt of Africa.- Detecting Unusual Changes of Users Consumption.- Techniques.- Optimal Subset Selection for Classification through SAT Encodings.- Multi-objective Model Predictive Optimization using Computational Intelligence.- An Intelligent Method for Edge Detection based on Nonlinear Diffusion.- Semantic Web.- A Survey of Exploiting WordNet in Ontology Matching.- Using Competitive Learning between Symbolic Rules as a Knowledge Learning Method.- Knowledge Conceptualization and Software Agent based Approach for OWL Modeling Issues.- Representation, Reasoning and Search.- Context Search Enhanced by Readability Index.- Towards an Enhanced Vector Model to Encode Textual Relations: Experiments Retrieving Information.- Efficient Two-Phase Data Reasoning for Description Logics.- Some Issues in Personalization of Intelligent Systems: An Activity Theory Approach for Meta Ontology Development.- Short Papers.- Smart communications network management through a synthesis of distributed intelligence and information.- An Abductive Multi-Agent System for Medical Services Coordination.- A New Learning Algorithm for Neural Networks with Integer Weights and Quantized Non-linear Activation Functions.- Neural Recognition of Minerals.- Bayesian Networks Optimization Based on Induction Learning Techniques.- Application of Business Intelligence for Business Process Management.- Learning Life Cycle in Autonomous Intelligent Systems.- A Map-based Integration of Ontologies into an Object-Oriented Programming Language.
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Teil 2 : gw ISBN 9783540112822
目次
2.0 Introduction.- 2.1.1 General remarks on partial wave and amplitude analyses.- 2.1.3 Inelastic partial wave analysis - the continuum ambiguity.- 2.1.4 Classification of partial wave analyses.- 2.1.5 The SACLAY and CERN phase shift analyses.- 2.1.6 The analysis LONDON 73 (“CBC”).- 2.1.7 The Karlsruhe-Helsinki analyses KH 78 and KH 80.- 2.1.8 The analysis LENINGRAD 78 and the SIN analyses.- 2.1.9 The Carnegie-Mellon-Berkeley analysis (CMU-LBL 79).- 2.1.10 New energy-dependent analyses.- 2.1.11 BARRELETs method.- 2.1.12 The analysis HENDRY 80.- 2.1.13 (pi-)p scattering near the eta-production threshold.- 2.1.14 The tail of high partial waves.- 2.1.15 Amplitude analyses without dispersion constraints.- 2.1.16 Amplitude analyses with dispersion constraints.- 2.1.17 Electromagnetic corrections.- 2.2.1 pi N forward amplitudes from total cross sections and dispersion relations.- 2.2.2 pi N partial wave amplitudes.- Fig. 2.2.1 - 33.- Table 2.2.2.1: KH 78 analysis.- Table 2.2.2.2 - 3: KH 80 analysis.- Table 2.2.2.4 - 5: CMU-LBL and SIN analyses.- 2.2.3 Invariant amplitudes.- 0.00 - 0.76 GeV/c.- 0.78 - 6.00 GeV/c.- Table 2.2.3.2: Below threshold.- 2.2.4 s-channel helicity amplitudes.- Table 2.2.3.3: At fixed scattering angle.- 2.3.1 Differential cross sections.- Fig. 3.1.1 - 4.- Table 2.3.1.2: Decomposition in the presence of Coulomb effects.- Table 2.3.1.1: Reconstructed from the KH solution.- Table 2.3.1.3: Legendre expansion.- 1.- 2.- 2.4.1.1 The notion of a resonance.- 2.4.1.2 Parametrizations of resonances.- 2.4.1.3 Results for the parameters of nucleon resonances.- 2.4.1.4 Nucleon resonances in other reactions than pi N -> pi N.- 2.4.1.5 Models for nucleon resonances.- 2.4.1.6 Degeneracy of the complex pole positions.- 2.4.2 Meson-nucleon coupling constants.- 2.4.3Zero trajectories.- 2.4.4 The saturation of isospin bounds.- 2.4.5 Invariant amplitudes in the unphysical region and near threshold.- Fig. 4.6.1 - 2.- Table 2.4.6.1: Partial wave amplitudes.- 2.4.6.2 pi pi-scattering phase shifts.- 2.4.6.3 Extrapolation of pi pi N anti-N partial waves to t > 0.- 2.4.7 Low energy expansions.- 2.5.1 Low-energy models for the pion-nucleon system.- 2.5.2 Electromagnetic nucleon and pion form factors.- 2.5.3 Two-pion exchange in nucleon-nucleon scattering.- 2.5.4 anti-N N pi pi amplitudes at t > 4m{2}.- 2.6.2 The Coulomb interference region.- 2.6.3 Diffraction scattering: fits to the data and amplitude analysis.- 2.6.3.1 The shape of the diffraction peak.- 2.6.3.2 The momentum dependence of (C+) and of the slope of Im(C+).- 2.6.3.3 The partial wave decomposition of the diffraction peak.- 2.6.3.4 The inelastic overlap function.- 2.6.3.5 A high energy approximation of the impact parameter formalism.- 2.6.3.6 pp-scattering amplitudes in the ISR range.- 2.6.3.7 Elastic scattering at large t.- 2.6.3.8 The isospin even s-channel helicity flip amplitude.- 2.6.4.1 The CHOU-YANG model.- 2.6.4.2 The CHENG-WU model.- 2.6.4.3 Geometrical scaling.- 2.6.4.4 The VAN HOVE model for the inelastic overlap function.- 2.6.4.5 Other s-channel models.- 2.6.4.7 General remarks on t-channel models.- 2.6.4.8 HARARIs dual absorptive model.- 2.6.4.9 Recent work on Regge pole phenomenology.- 2.6.4.10 LIPKINS two-component pomeron.- 2.6.4.11 Diffraction in electromagnetic processes.- 2.6.4.12 The transition to the wide-angle region.- 2.6.4.13 Theoretical papers on diffraction scattering.- 2.6.5 Near-forward charge-exchange scattering.- 2.6.6 Wide-angle scattering.- 2.6.7 Near-backward scattering.- 2.6.8 Total elastic and charge-exchange cross sections.- 2.6.9 Survey index for the experimental data in the near-backward u-range.- A - I.- J - Z.- Addendum: A - S.- A - C.- C - H.- H - N.- N - Z.- Addendum: A - S.- 3.3 List of pion-nucleon scattering experiments.- 1 Kinematics.- 2 Scattering amplitudes.- 3 Expansions of scattering amplitudes.- 4 Measurable quantities.- 5 Unitarity.- 6.1 Behaviour of invariant amplitudes under symmetry operations.- 6.2 The MANDELSTAM representation.- 6.3 Fixed-t dispersion relations.- 6.4 Forward dispersion relations.- 6.6 Fixed-u and fixed-s dispersion relations.- 6.7 Hyperbolic dispersion relations.- 6.8 Fixed center-of-mass angle dispersion relations.- 6.10 Fixed-nu dispersion relations.- 7 Analytic properties of partial wave amplitudes.- 8 Low energy models.- 9 Regge models.- 10 Isospin bounds.- 11 Electromagnetic nucleon and pion form factors.- 12 References.
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