Artificial intelligence and Philosophy ,Case based reasoning ,Heuristic searching ,Intelligent robotics ,Planning and theories of action ,Cognitive aspects of AI

Journal of Artificial Intelligence Research & Advances

Journal of Artificial Intelligence Research & Advances (JoAIRA):  is a print and e-journal focused towards the rapid publication of fundamental research papers on all areas of Artificial Intelligence Research & Advances.

The journal of artificial intelligence investigates the role of artificial in this rapid progressing & challenging environment. This journal provides a rich, multidisciplinary platform for current Research & Development and to discuss existing and emerging theoretical and applied problems in the rapidly evolving area intelligent computing.

eISSN: 2395-6720

Focus & Scope:

  • Artificial intelligence and Philosophy
  • Case based reasoning
  • Heuristic searching
  • Intelligent robotics
  • Planning and theories of action
  • Cognitive aspects of AI
  • Robotics
  • Soft computing theory and applications
  • Evolutionary inspired computing
  • Pervasive computing and ambient intelligence
  • Intelligent Web
  • Bioinformatics
  • Neuroinformatics
  • Computing and the mind
  • Cognitive science
  • Non-classical computing and novel computing models
  • DNA computing and quantum computing
  • Natural computing

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Announcements

 

CALL FOR PAPERS

 
Invitation for Research & Review Articles for journal of artificial intelligence research & advances  
Posted: 2013-10-16 More...
 
More Announcements...

Vol 6, No 2 (2019)

Open Access Open Access  Restricted Access Subscription or Fee Access

Table of Contents

Research Articles

Sentiment Analysis and Stock Market Prediction-Using news to predict stock markets PDF
Shah Abrar Amin, Dhajvir Singh Rai 17-24
Technology Solutions of Real Life Scenarios using Mobile Applications-An Analysis PDF
Kapil Mehta, Yadwinder Kumar, Ankita Thakur 76-81

Review Articles

Opinion Polls: Election Result Prediction Using Social Networking Sites - A Review PDF
Falak Jan, Afaq Alam Khan 1-7
Predicting Churners from the User Base of a Business - A Review PDF
Saima Jan, Afaq Alam Khan 8-16


ISSN: 2395-6720