AI 2013: Advances in Artificial Intelligence

26th Australasian Joint Conference, Dunedin, New Zealand, December 1-6, 2013. Proceedings

  • Stephen Cranefield
  • Abhaya Nayak
Conference proceedings AI 2013

Part of the Lecture Notes in Computer Science book series (LNCS, volume 8272)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 8272)

Table of contents

  1. Front Matter
    PDF

  2. Agents

    1. A Logical Framework of Bargaining with Integrity Constraints
      Xiaoxin Jing, Dongmo Zhang, Xudong Luo
      Pages 1-13
    2. Security Games with Ambiguous Information about Attacker Types
      Youzhi Zhang, Xudong Luo, Wenjun Ma
      Pages 14-25
    3. A Mechanism to Improve Efficiency for Negotiations with Incomplete Information
      Quoc Bao Vo
      Pages 26-31

  3. AI Applications

    1. Protein Fold Recognition Using an Overlapping Segmentation Approach and a Mixture of Feature Extraction Models
      Abdollah Dehzangi, Kuldip Paliwal, Alok Sharma, James Lyons, Abdul Sattar
      Pages 32-43
    2. Neighborhood Selection in Constraint-Based Local Search for Protein Structure Prediction
      Swakkhar Shatabda, M. A. Hakim Newton, Abdul Sattar
      Pages 44-55
    3. On Caching for Local Graph Clustering Algorithms
      René Speck, Axel-Cyrille Ngonga Ngomo
      Pages 56-67
    4. Provenance-Based Trust Estimation for Service Composition
      Jing Jiang, Quan Bai
      Pages 68-73
    5. 3D EEG Source Localisation: A Preliminary Investigation Using MML
      Thi Han Kyaw, David L. Dowe
      Pages 74-79
    6. DEPTH: A Novel Algorithm for Feature Ranking with Application to Genome-Wide Association Studies
      Enes Makalic, Daniel F. Schmidt, John L. Hopper
      Pages 80-85

  4. Cognitive Modelling

    1. Evidence for Response Consistency Supports Polychronous Neural Groups as an Underlying Mechanism for Representation and Memory
      Mira Guise, Alistair Knott, Lubica Benuskova
      Pages 86-97
    2. A Neural Network Model of Visual Attention and Group Classification, and Its Performance in a Visual Search Task
      Hayden Walles, Anthony Robins, Alistair Knott
      Pages 98-103
    3. Affect Detection from Virtual Drama
      Li Zhang, John Barnden, Alamgir Hossain
      Pages 104-109

  5. Computer Vision

    1. A One-Shot Learning Approach to Image Classification Using Genetic Programming
      Harith Al-Sahaf, Mengjie Zhang, Mark Johnston
      Pages 110-122
    2. Event Detection Using Quantized Binary Code and Spatial-Temporal Locality Preserving Projections
      Hanhe Lin, Jeremiah D. Deng, Brendon J. Woodford
      Pages 123-134
    3. Growing Neural Gas Video Background Model (GNG-BM)
      Munir Shah, Jeremiah D. Deng, Brendon J. Woodford
      Pages 135-147
    4. Sparse Principal Component Analysis via Joint L2,1-Norm Penalty
      Shi Xiaoshuang, Lai Zhihui, Guo Zhenhua, Wan Minghua, Zhao Cairong, Kong Heng
      Pages 148-159
    5. Image Segmentation with Adaptive Sparse Grids
      Benjamin Peherstorfer, Julius Adorf, Dirk Pflüger, Hans-Joachim Bungartz
      Pages 160-165

  6. Constraint Satisfaction, Search and Optimisation

    1. Diversify Intensification Phases in Local Search for SAT with a New Probability Distribution
      Thach-Thao Duong, Duc-Nghia Pham, Abdul Sattar
      Pages 166-177
    2. A New Efficient In Situ Sampling Model for Heuristic Selection in Optimal Search
      Santiago Franco, Michael W. Barley, Patricia J. Riddle
      Pages 178-189

About these proceedings

Introduction

This book constitutes the refereed proceedings of the 26th Australasian Joint Conference on Artificial Intelligence, AI 2013, held in Dunedin, New Zealand, in December 2013. The 35 revised full papers and 19 revised short papers presented were carefully reviewed and selected from 120 submissions. The papers are organized in topical sections as agents; AI applications; cognitive modelling; computer vision; constraint satisfaction, search and optimisation; evolutionary computation; game playing; knowledge representation and reasoning; machine learning and data mining; natural language processing and information retrieval; planning and scheduling.

Keywords

evolutionary algorithm image analysis optimization problem recommender systems social network analysis

Editors and affiliations

  • Stephen Cranefield
    • 1
  • Abhaya Nayak
    • 2
  1. 1.Department of Information ScienceUniversity of OtagoDunedinNew Zealand
  2. 2.Macquarie UniversitySydneyAustralia

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-03680-9
  • Copyright Information Springer International Publishing Switzerland 2013
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-03679-3
  • Online ISBN 978-3-319-03680-9
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book
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