Conflict Resolution and its Context

From the Analysis of Behavioural Patterns to Efficient Decision-Making

  • Davide Carneiro
  • Paulo Novais
  • José Neves

Part of the Law, Governance and Technology Series book series (LGTS, volume 18)

Table of contents

  1. Front Matter
    Pages i-xxviii
  2. Online Dispute Resolution and Its Context

    1. Front Matter
      Pages 1-1
    2. Davide Carneiro, Paulo Novais, José Neves
      Pages 3-9
    3. Davide Carneiro, Paulo Novais, José Neves
      Pages 11-37
    4. Davide Carneiro, Paulo Novais, José Neves
      Pages 39-59
    5. Davide Carneiro, Paulo Novais, José Neves
      Pages 61-96
    6. Davide Carneiro, Paulo Novais, José Neves
      Pages 97-117
  3. Technological Framework

    1. Front Matter
      Pages 119-119
    2. Davide Carneiro, Paulo Novais, José Neves
      Pages 121-140
    3. Davide Carneiro, Paulo Novais, José Neves
      Pages 141-162
    4. Davide Carneiro, Paulo Novais, José Neves
      Pages 163-186
  4. Context Acquisition in Online Dispute Resolution

    1. Front Matter
      Pages 187-187
    2. Davide Carneiro, Paulo Novais, José Neves
      Pages 189-205
    3. Davide Carneiro, Paulo Novais, José Neves
      Pages 207-221
    4. Davide Carneiro, Paulo Novais, José Neves
      Pages 223-240
  5. Conclusions and Future Directions

    1. Front Matter
      Pages 241-241
    2. Davide Carneiro, Paulo Novais, José Neves
      Pages 243-267
    3. Davide Carneiro, Paulo Novais, José Neves
      Pages 269-279

About this book

Introduction

This book studies how technological solutions can be used to alleviate the current state of legal systems, with their clogged up courtrooms and inefficient conflict resolution methods. It reviews the shortcomings and disadvantages of traditional and alternative conflict resolution methods and turns to Artificial Intelligence for problem-solving techniques and solutions.The book is divided into four parts. The first part presents a general and systematic analysis of the current state of the legal systems, identifying the main problems and their causes.  It then moves on to present UMCourt: a framework for testing and prototyping conflict resolution services. This framework was developed with the objective of using Artificial Intelligence techniques to build a service environment for conflict resolution. The third part of the book takes a step into the future by analyzing the use of Intelligent Environments in the support of conflict management and resolution. It describes the approach taken and the experiments performed in the Intelligent Systems Lab of the University of Minho. The final part of the book contains the conclusions and shows the potential advantages of the use of Intelligent Environments as a way to implement better conflict resolution procedures (virtual or real), in which all the participants have access to more and better information, and are able to take better informed decisions.​    

Keywords

Alternative Conflict Resolution Artificial Intelligence and Law Artificial Intelligence and Online Dispute Resolution Artificial Intelligence and The Law Assisting Negotiation Behavioral Analysis Behavioral Analysis and Conflict Resolution Conflict Handling Style Conflict Resolution Context-Aware Conflict Resolution Fatigue and Conflict Resolution Information Retrieval Information Systems and Applications Litigation in Court Power of Context Prevailing Conflict Resolution Platform Stress and Conflict Resolution Supporting Conflict Resolution

Authors and affiliations

  • Davide Carneiro
    • 1
  • Paulo Novais
    • 2
  • José Neves
    • 3
  1. 1.CCTC/Department of InformaticsUniversity of MinhoBragaPortugal
  2. 2.CCTC/Department of InformaticsUniversity of MinhoBragaPortugal
  3. 3.CCTC/Department of InformaticsUniversity of MinhoBragaPortugal

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-06239-6
  • Copyright Information Springer International Publishing Switzerland 2014
  • Publisher Name Springer, Cham
  • eBook Packages Humanities, Social Sciences and Law
  • Print ISBN 978-3-319-06238-9
  • Online ISBN 978-3-319-06239-6
  • Series Print ISSN 2352-1902
  • Series Online ISSN 2352-1910
  • About this book
Industry Sectors
Pharma
Automotive
Chemical Manufacturing
Biotechnology
Electronics
Telecommunications
Energy, Utilities & Environment
Aerospace