Multi-Agent Cooperative Reasoning Using E-knowledge and I-knowledge

スポンサーリンク

概要

• 論文の詳細を見る

• This paper presents a method for multi-agent cooperative reasoning with E-knowledge and I-knowledge. We explain the meanings of E-knowledge and I-knowledge and show their importance for multi-agent cooperative reasoning. We consider how to translate E-knowledge and I-knowledge statements with the possible-world semantics into their corresponding statements in first order logic. Communication among agents is also incorporated into our method. An example is given to show how to use E-knowledge and I-knowledge to describe and solve multi-agent cooperative reasoning problems.

• 社団法人　人工知能学会の論文
• 2002-11-01

著者

• Nakamura Tsuyoshi

  Nagoya Institute Of Technology

• Itoh H

  Nagoya Inst. Technol.

• CHAO Yuyan

  Faculty of Environment, Information and Business, Nagoya Sangyo University

• HE Lifeng

  Faculty of Information Science and Technology, Aichi Prefectural University

• CHAO Yuyan

  Dept. of Intelligence & Computer Science, Nagoya Institute of Technology

• NAKAMURA Tsuyoshi

  affiliation as previous author

• ITOH Hidenori

  affiliation as previous author

• HE Lifeng

  Aichi Prefectural University

• Chao Yuyan

  Graduate School Of Human Information Nagoya University

• Itoh Hidenori

  Itoh Laboratory Department Of Intelligence And Computer Science Nagoya Institute Of Technology

• Nakamura Tuyoshi

  affiliation as previous author

• Ito Hidenori

  affiliation as previous author

• Ito Hidenori

  Department of Computer Science and Engineering, Nagoya Institute of Technology

関連論文

• Color Transfer between Images with IEC
• Multi-Agent Cooperative Reasoning Using E-knowledge and I-knowledge
• Generation of Artistic Calligraphic Fonts Considering Character Structure
• Simulation on the Formation Process of Japanese Hiragana Characters by Deformation and Morphing
• A Query Processing Method for Amalgamated Knowledge Bases
• Calligraphy Generation Using Deformable Contours
• An Automated Reasoning System for Multi-Agent Environments
• Transport Property of Electrons in Gases under Electric Field 1.Lateral Diffusion Coefficient
• Thermal Simulation of Compact Self-ballasted Fluorescent Lamps
• A Fuzzy Regression Method Based on Genetic Algorithm
• A System for Simulating and Displaying Magic Game in Cat's Cradle and a Characterization Method of Its String State
• An Interactive System Implementation for Constructing Cat's Cradle Diagrams and its Evaluation
• A Faster Reinforcement Learning Method of Fuzzy Rules
• Constrained Knot Representation and Its Characteristics : 紐デザイン処理(3)
• Boltzmann Equation Analysis of Electron Swarm Development in Model Gases with Power-Law Elastic Scattering

もっと見る 閉じる

スポンサーリンク