SCOPE

Theoretical, applicative and technological challenges, emanating from nowadays' industrial, socioeconomic or environment needs, open every day new dilemmas to solved and new challenges to defeat. Bio-inspired Artificial Intelligence and related topic have shown its astounding potential in overcoming the above-mentioned needs. It is a fact and at the same time a great pleasure to notice that the ever-increasing interest of both confirmed and young researchers on this relatively juvenile science, upholds a reach multidisciplinary synergy between a large number of scientific communities making conceivable a forthcoming emergence of viable solutions to these real-world complex challenges.
ANNIIP takes part in appealing intellectual dynamics created around bio-inspired Artificial Intelligence by offering a privileged space to refit and exchange the knowledge about state of the art and further theoretical advances, new experimental discoveries and novel technological improvements in this promising area. The goal is to bring together different representative actors (from academia, industry, government agencies, etc...) to exchange ideas, to debate divergences and to construct convergences around these propitious concepts.

• Bio-inspired Artificial Neural Networks
• Hybrid Information Processing
• Hierarchical Artificial Neural Network Models and Systems
• Intelligent Sensors and Smart Instrumentation
• Self-organizing Systems
• Self-diagnosable Machines
• Self-optimizing Systems
• Artificial Neural Networks based Cooperative Systems
• Social Behaviour based Systems
• Multi-agent and Distributed Intelligent Systems
• Neuro-Fuzzy and Fuzzy Logic based Systems
• Complex Intelligent Artificial Systems
• Artificial Neural Networks' Software and Hardware Issues
• Artificial Intelligent Systems' Software and Hardware Issues
• Modular Artificial Neural Network based Systems
• Modular Implementation of Artificial Neural Networks
• Stability and Instability in Artificial Neural Networks
• Cooperative Robots and Applications
• Humanoid Robots
• Application of Artificial Neural Networks and Intelligent Systems:
  • Artificial Neural Networks based Pattern Recognition
  • Artificial Neural Networks based Signal Processing
  • Artificial Neural Networks based Image Processing
  • Artificial Neural Networks based Data Fusion
  • Artificial Neural Networks based Data Mining
  • Artificial Neural Networks based Decision
  • Artificial Neural Network based Control
  • Artificial Neural Network based System Identification
  • Artificial Neural Network in Robustness and Safety
  • Artificial Neural Network in Management and Financial Applications
  • Artificial Neural Network based Solutions for Industrial Environment

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