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New Challenges in Applied Intelligence Technologies

  • Book
  • © 2008

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Editors:
  1. Ngoc Thanh Nguyen
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    You can also search for this editor in PubMed   Google Scholar

  2. Radoslaw Katarzyniak
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  • Presents latest results and new challenges in applied intelligence technologies

Part of the book series: Studies in Computational Intelligence (SCI, volume 134)

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Table of contents (37 chapters)

  1. Front Matter

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  2. Agent and Multiagent Systems

    1. Front Matter

      Pages 1-1
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    2. A Comparative Study between Human-Human Interaction and Human-Robot Interaction

      • KangWoo Lee, Jung-Hoon Hwang, Dong-Soo Kwon
      Pages 3-12

    3. Dialogue and Argumentation in Multi-agent Diagnosis

      • Asma Moubaiddin, Nadim Obeid
      Pages 13-22

    4. Reinforcement Q-Learning and Neural Networks to Acquire Negotiation Behaviors

      • Amine Chohra, Kurosh Madani, Dalel Kanzari
      Pages 23-33

    5. getALife - An Artificial Life Environment for the Evaluation of Agent-Based Systems and Evolutionary Algorithms for Reinforcement Learning

      • Daniel Machado, Miguel Rocha
      Pages 35-44

    6. An Approach to Efficient Trading Model of Hybrid Traders Based on Volume Discount

      • Satoshi Takahashi, Tokuro Matsuo
      Pages 45-54

    7. Improving the Efficiency of Low-Level Decision Making in Robosoccer Using Boosted SVM

      • Pravin Chandrasekaran, R. Muthucumaraswamy
      Pages 55-64

  3. Personal Assistants and Recommender Systems

    1. Front Matter

      Pages 65-65
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    2. Closed Pattern Mining for the Discovery of User Preferences in a Calendar Assistant

      • Alfred Krzywicki, Wayne Wobcke
      Pages 67-76

    3. An Implementation of Goal-Oriented Fashion Recommendation System

      • Mikito Kobayashi, Fumiaki Minami, Takayuki Ito, Satoshi Tojo
      Pages 77-86

    4. A Proposal on Recommender System Based on Observing Web-Chatting

      • Fumiaki Minami, Mikito Kobayashi, Takayuki Ito
      Pages 87-96

    5. Ontological Query Processing and Maintaining Techniques for FAQ Systems

      • Sheng-Yuan Yang
      Pages 97-109

    6. On Human Resource Adaptability in an Agent-Based Virtual Organization

      • Costin Bădică, Elvira Popescu, Grzegorz Frackowiak, Maria Ganzha, Marcin Paprzycki, Michal Szymczak et al.
      Pages 111-120

  4. Knowledge Modelling and Processing

    1. Front Matter

      Pages 121-121
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    2. On the Pursuit of a Standard Language for Object-Oriented Constraint Modeling

      • Ricardo Soto, Laurent Granvilliers
      Pages 123-133

    3. A Layered Ontology-Based Architecture for Integrating Geographic Information

      • Agustina Buccella, Domenico Gendarmi, Filippo Lanubile, Giovanni Semeraro, Alejandra Cechich, Attilio Colagrossi
      Pages 135-144

    4. Generalizing the QSQR Evaluation Method for Horn Knowledge Bases

      • Ewa MadaliÅ„ska-Bugaj, Linh Anh Nguyen
      Pages 145-154

    5. On Vowels Segmentation and Identification Using Formant Transitions in Continuous Recitation of Quranic Arabic

      • Hafiz Rizwan Iqbal, Mian Muhammad Awais, Shahid Masud, Shafay Shamail
      Pages 155-162

    6. Adaptation of FCANN Method to Extract and Represent Comprehensible Knowledge from Neural Networks

      • Sérgio M. Dias, Bruno M. Nogueira, Luis E. Zárate
      Pages 163-172
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Keywords

About this book

To built intelligent systems that can cope with real world problems we need to - velop computational mechanisms able to deal with very large amounts of data, gen- ate complex plans, schedules, and resource allocation strategies, re-plan their actions in real time, provide user friendly communication for human-device interactions, and perform complex optimization problems. In each of these tasks intelligence techno- gies play an important role, providing designers and creators with effective and adequate computational models. The field of intelligence technologies covers a variety of computational approaches that are often suggested and inspired by biological systems, exhibiting functional richness and flexibility of their natural behavior. This class of technologies consists of such important approaches as data mining algorithms, neural networks, genetic al- rithms, fuzzy and multi-valued logics, rough sets, agent-oriented computation, often integrated into complex hybrid solutions. Intelligence technologies are used to built machines that can act and think like living systems, solve problems in an autonomous way, develop rich private knowledge bases and produce results not foreseen and programmed in a direct way by designers and creators.

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