{"product_id":"9789814489164","title":"The Handbook On Reasoning-based Intelligent Systems","description":"\u003cp\u003eThis book consists of various contributions in conjunction with the keywords “reasoning” and “intelligent systems”, which widely covers theoretical to practical aspects of intelligent systems. Therefore, it is suitable for researchers or graduate students who want to study intelligent systems generally.\u003c\/p\u003e\u003cb\u003eContents:\u003c\/b\u003e\u003cul\u003e\n\u003cli\u003eAdvances in Intelligent Systems \u003ci\u003e(Lakhmi C Jain and Kazumi Nakamatsu)\u003c\/i\u003e\n\u003c\/li\u003e\n\u003cli\u003eStability, Chaos and Limit Cycles in Recurrent Cognitive Reasoning Systems \u003ci\u003e(Aruna Chakraborty, Amit Konar, Pavel Bhowmik and Atulya K Nagar)\u003c\/i\u003e\n\u003c\/li\u003e\n\u003cli\u003eSome Studies on Data Mining \u003ci\u003e(Dilip Kumar Pratihar)\u003c\/i\u003e\n\u003c\/li\u003e\n\u003cli\u003eRough Non-Deterministic Information Analysis for Uncertain Information \u003ci\u003e(Hiroshi Sakai, Hitomi Okuma, Mao Wu and Michinori Nakata)\u003c\/i\u003e\n\u003c\/li\u003e\n\u003cli\u003eMetamathematical Limits to Computation \u003ci\u003e(N C A da Costa and F A Doria)\u003c\/i\u003e\n\u003c\/li\u003e\n\u003cli\u003eHypothesis Refinement: Building Hypotheses in an Intelligent Agent System \u003ci\u003e(Gauvain Bourgne, Nicolas Maudet and Suzanne Pinson)\u003c\/i\u003e\n\u003c\/li\u003e\n\u003cli\u003eA Heuristic Algorithmic Procedure to Solve Allocation Problems with Fuzzy Evaluations \u003ci\u003e(R Bartholo, C A N Cosenza, F A Doria and M R Doria)\u003c\/i\u003e\n\u003c\/li\u003e\n\u003cli\u003eNon-Classical Logics and Intelligent Systems \u003ci\u003e(Seiki Akama)\u003c\/i\u003e\n\u003c\/li\u003e\n\u003cli\u003eA Paraconsistent Annotated Logic Program Before-After EVALPSN and Its Application \u003ci\u003e(Kazumi Nakamatsu and Jair Minoro Abe)\u003c\/i\u003e\n\u003c\/li\u003e\n\u003cli\u003eInspecting and Preferring Abductive Models \u003ci\u003e(Luís Moniz Pereira, Pierangelo Dell'Acqua, Alexandre Miguel Pinto and Gonçalo Lopes)\u003c\/i\u003e\n\u003c\/li\u003e\n\u003cli\u003eSupervised Neural Network Learning: From Vectors to Graphs \u003ci\u003e(Monica Bianchini, Marco Maggini and Lorenzo Sarti)\u003c\/i\u003e\n\u003c\/li\u003e\n\u003cli\u003eParaconsistent Artificial Neural Networks and Applications \u003ci\u003e(Jair Minoro Abe and Kazumi Nakamatsu)\u003c\/i\u003e\n\u003c\/li\u003e\n\u003cli\u003eParaconsistent Annotated Evidential Logic Eτ and Applications in Automation and Robotics \u003ci\u003e(Jair Minoro Abe and Kazumi Nakamatsu)\u003c\/i\u003e\n\u003c\/li\u003e\n\u003cli\u003eAdaptive Intelligent Learning System for Online Learning Environments \u003ci\u003e(Fatma Cemile Serçe, Ferda Nur Alpaslan and Lakhmi C Jain)\u003c\/i\u003e\n\u003c\/li\u003e\n\u003cli\u003eAutomatic Test Program Generation: How Artificial Evolution May Outperform Experience \u003ci\u003e(Danilo Ravotto, Ernesto Sanchez and Giovanni Squillero)\u003c\/i\u003e\n\u003c\/li\u003e\n\u003cli\u003eDiscovery of Communications Patterns by the Use of Intelligent Reasoning \u003ci\u003e(J Fulcher, M Zhang, Q Bai and F Ren)\u003c\/i\u003e\n\u003c\/li\u003e\n\u003cli\u003eAdaptive Approach to Quality Enhancement and Storage of Signatures and Fingerprint Images \u003ci\u003e(Roumen Kountchev)\u003c\/i\u003e\n\u003c\/li\u003e\n\u003cli\u003eKnowledge Representation for Electronic Circuits in Logic Programming \u003ci\u003e(Takushi Tanaka)\u003c\/i\u003e\n\u003c\/li\u003e\n\u003cli\u003eAn Intelligent CBR Model for Predicting Changes in Tropical Cyclones Intensities \u003ci\u003e(James N K Liu, Simon C K Shiu, Jane You and Leon S K Law)\u003c\/i\u003e\n\u003c\/li\u003e\n\u003cli\u003eAnalysis of Sequential Data in Tool Manufacturing of Volkswagen AG \u003ci\u003e(Kemal Ince, Thomas Schneider and Frank Klawonn)\u003c\/i\u003e\n\u003c\/li\u003e\n\u003cli\u003eReasoning-Based Artificial Agents in Agent-Based Computational Economics \u003ci\u003e(Shu-Heng Chen)\u003c\/i\u003e\n\u003c\/li\u003e\n\u003cli\u003eReasoning and Knowledge Acquisition from Medical Database Using Lattice SOM and Tree Structure SOM \u003ci\u003e(Takumi Ichimura, Takashi Yamaguchi and Kenneth James Mackin)\u003c\/i\u003e\n\u003c\/li\u003e\n\u003cli\u003eApproximate Processing in Medical Diagnosis by Means of Deductive Agents \u003ci\u003e(G Fenza, D Furno, V Loia and S Senatore)\u003c\/i\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\u003cbr\u003e\u003cb\u003eReadership:\u003c\/b\u003e Graduate students, software engineers and researchers in theoretical computer science, artificial intelligence and neural networks.\u003cbr\u003e","brand":"World Scientific Publishing Company, Incorporated","offers":[{"title":"Default Title","offer_id":47185292427504,"sku":"9789814489164","price":95.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0737\/7593\/9824\/files\/9789814489164_p0.jpg?v=1763691113","url":"https:\/\/shop-qa.barnesandnoble.com\/products\/9789814489164","provider":"Barnes \u0026 Noble (DEV)","version":"1.0","type":"link"}