IMPORTANT DATES:
Regular Paper Submission: May 22, 2017
Authors Notification (regular papers): July 24, 2017
Final Regular Paper Submission and Registration: September 1, 2017
Scope:
The purpose of the International Joint Conference on Computational
Intelligence – IJCCI - is to bring together researchers, engineers and
practitioners interested on the field of Computational Intelligence both
from theoretical and application perspectives.
Four simultaneous tracks will be held covering different aspects of
Computational Intelligence, including evolutionary computation, fuzzy
computation, neural computation and cognitive and hybrid systems. The
connection of these areas in all their wide range of approaches and
applications forms the International Joint Conference on Computational
Intelligence.
Papers describing original work are invited in any of the areas and
topics listed below. Accepted papers, presented at the conference by one
of the authors, will be published in the Proceedings of IJCCI with an
ISBN. Acceptance will be based on quality, relevance and originality.
Both full research reports and work-in-progress reports are welcome.
There will be both oral and poster sessions.
Workshops, providing a more interactive and focused platform for
presenting and discussing new and emerging ideas or special sessions,
dedicated to case-studies and commercial presentation are also
envisaged: companies interested in presenting their
products/methodologies or researchers interested in presenting a demo or
holding a tutorial are invited to contact the conference secretariat.
Conference Topics:
Evolutionary Computation
- Memetic Algorithms
- Co-evolution and Collective Behavior
- Genetic Algorithms
- Evolutionary Multi-objective Optimization
- Swarm/Collective Intelligence
- Ant Colony Optimization
- Evolutionary Learning Systems
- Evolvable Computing
- Evolvable/Adaptive Hardware and Systems
- Evolutionary Search and Meta-heuristics
- Representation Techniques
- Applications: Games and Entertainment Technologies, Evolutionary
Robotics, Evolutionary Art and Design, Industrial and Real World
applications, Computational Economics and Finance
Fuzzy Computation
- Approximate Reasoning and Fuzzy Inference
- Type-2 Fuzzy Logic
- Fuzzy Databases
- Complex Fuzzy Systems
- Fuzzy Information Processing, Fusion, Text Mining
- Fuzzy Systems Design
- Fuzzy Logic in Machine Learning
- Learning and Adaptive Fuzzy Systems
- Fuzzy Hardware/Software, Fuzzy Architectures
- Fuzzy Control
- Applications: Fuzzy Systems in Robotics, Fuzzy Image, Speech and
Signal Processing, Vision and Multimedia, Pattern Recognition, Financial
and Medical Applications, Fuzzy Information Retrieval and Data Mining,
Big Data and Cloud Computing, Industrial and Real World Applications,
System Identification and Fault Detection, Natural Language Processing,
Security Systems
Neural Computation
- Deep Learning
- Learning Paradigms and Algorithms
- Neurocomputational Formulations
- Self-organization and Emergence
- Support Vector Machines and Kernel Methods
- RBF Structures
- Neurodynamic Approaches and Solutions
- Reinforcement Learning
- Stochastic Learning and Statistical Algorithms
- Single-neuron Modeling
- Computational Neuroscience
- Higher Level Artificial Neural Network Based Intelligent Systems
- Adaptive Architectures and Mechanisms
- Stability and Instability in Artificial Neural Networks
- Complex Artificial Neural Network Based Systems and Dynamics
- Applications: Image Processing and Artificial Vision, Pattern
Recognition, Decision Making, Industrial and Real World applications,
Financial Applications, Neural Prostheses and Medical Applications,
Neural based Data Mining and Complex Information Processing, Neural
Network Software and Applications, Applications of Deep Neural networks,
Robotics and Control Applications
Cognitive and Hybrid Systems
- Soft Computing and Intelligent Agents
- Knowledge and Skill Acquistion
- Multi-agent Intelligent Systems and Applications
- Collective and Distributed Intelligence
- Embedded Intelligent Systems
- Bio-inspired Hardware and Networks
- Bio-inspired Cognitive Architectures
- Biomorphic Systems
- Cognitive Architecture
- Perceptual Modeling, Artificial Perception and Awareness
- Emulation of Cognitive Functions
- Human-Machine and Machine-Machine interaction
- Cognitive Software Systems and Applications
- Ambient Intelligence
- Emotional Computation
- Neurocognitive Networks and Models
- Neuro-fuzzy Systems
- Neuro-evolutionary Systems
- Neuro-swarm
- Adaptive, Hierarchical, Neuro and Evolutionary Fuzzy Systems
- Applications: Image and Signal Processing, Pattern Recognition,
Decision Making, Human-Robot Interaction, Human Computer Interaction,
Cognitive Robotics and Developmental Robotic, Sensor Mesh, Intelligent
Networks, Internet Modeling, Multi-sensor Data Fusion using
Computational Intelligence, Perceptual and Motor Functions (Visual,
Auditory, Tactile, Virtual Reality, etc.), Intelligent Systems in
Education
