CI 2015 - 2015 INTERNATIONAL SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE
Topics/Call fo Papers
Topics of interest include, but are not limited to the following
Fuzzy Logic Systems:
Fuzzy logic and fuzzy set theory; Computing with words; Neural-fuzzy systems; Fuzzy and rough data analysis; Fuzzy optimization and design; Fuzzy decision making; Systems modeling and identification; Systems architect2ures and hardware; Control and systems; Fuzzy logic applications.
Big Data and Data Analytic:
Big Data Services; Optimization and data analytics; Machine learning technologies; Knowledge extraction and business processes; Big Data to knowledge mapping; Information engineering; Big Data and decision sciences; Data and information mining; Case studies; and Applications.
Neural Networks:
Neural network theory and models; Evolutionary neural systems; Collective intelligence; Computational neuroscience; Cognitive models; Neurodynamics; Neuroinformatics; Neuroengineering; Neural hardware; Mathematical modeling of neural systems; Hybrid systems; Self-aware systems; Agent-based systems; Artificial life; and Neural network applications.
Evolutionary Computations:
Metaheuristic optimization algorithms; Evolutionary algorithms; Genetic algorithms; Evolutionary programming; Evolution strategy; Particle swarm optimization; Ant colony optimization; Artificial immune systems; Differential evolution; Learning classifier systems; Learnable evolution models; Self-organizing maps and competitive learning; Multi-objective evolutionary algorithms; Reinforcement learning; Parallel simulated annealing; Cultural algorithms; Intelligent, bio-inspired and autonomic computing.
Artificial Intelligence (AI):
All aspects of AI as they relate to Computational Intelligence, including: Brain models and cognitive science; Natural language processing; Fuzzy logic and soft computing; Software tools for AI; Expert systems; Decision support systems; Automated problem solving; Knowledge discovery; Knowledge-intensive problem solving techniques; Knowledge networks and management; Intelligent information systems; Intelligent data mining and farming; Intelligent web-based business; Intelligent agents; Intelligent user interface; Intelligent tutoring systems; Reasoning strategies; Heuristic search methods; Languages and programming techniques for AI; Constraint-based reasoning and constraint programming; Intelligent information fusion; Multisensor data fusion using neural and fuzzy techniques; Integration of AI with other technologies; Evaluation of AI tools; Social intelligence (markets and computational societies); Social impact of AI; and Satisfiability methods.
Applications of Computational Intelligence:
Pattern recognition applications; Machine vision; Brain-machine interface; Embodied robotics; Biometrics; Computational biology; Bioinformatics; Information mining and forecasting; Sensor networks; Information processing; Internet and multimedia; DNA computing; Machine learning applications; Multi-agent systems applications; Game technologies; Computational ocean and earth sciences; Computational chemistry and biochemistry; Computational physics; Medical applications; Transportation systems and simulations; Structural engineering; Computational electro-magnetic; Computer graphics and multimedia; Dynamic systems; Computational finance; Information mining and applications; Astrophysics; Biometric modeling; Geology and geophysics; Nuclear physics; Computational journalism; Computational sociology; Geographical Information Systems (GIS) and remote sensing; Military and defense related applications; Ubiquitous computing; and Emerging applications.
Fuzzy Logic Systems:
Fuzzy logic and fuzzy set theory; Computing with words; Neural-fuzzy systems; Fuzzy and rough data analysis; Fuzzy optimization and design; Fuzzy decision making; Systems modeling and identification; Systems architect2ures and hardware; Control and systems; Fuzzy logic applications.
Big Data and Data Analytic:
Big Data Services; Optimization and data analytics; Machine learning technologies; Knowledge extraction and business processes; Big Data to knowledge mapping; Information engineering; Big Data and decision sciences; Data and information mining; Case studies; and Applications.
Neural Networks:
Neural network theory and models; Evolutionary neural systems; Collective intelligence; Computational neuroscience; Cognitive models; Neurodynamics; Neuroinformatics; Neuroengineering; Neural hardware; Mathematical modeling of neural systems; Hybrid systems; Self-aware systems; Agent-based systems; Artificial life; and Neural network applications.
Evolutionary Computations:
Metaheuristic optimization algorithms; Evolutionary algorithms; Genetic algorithms; Evolutionary programming; Evolution strategy; Particle swarm optimization; Ant colony optimization; Artificial immune systems; Differential evolution; Learning classifier systems; Learnable evolution models; Self-organizing maps and competitive learning; Multi-objective evolutionary algorithms; Reinforcement learning; Parallel simulated annealing; Cultural algorithms; Intelligent, bio-inspired and autonomic computing.
Artificial Intelligence (AI):
All aspects of AI as they relate to Computational Intelligence, including: Brain models and cognitive science; Natural language processing; Fuzzy logic and soft computing; Software tools for AI; Expert systems; Decision support systems; Automated problem solving; Knowledge discovery; Knowledge-intensive problem solving techniques; Knowledge networks and management; Intelligent information systems; Intelligent data mining and farming; Intelligent web-based business; Intelligent agents; Intelligent user interface; Intelligent tutoring systems; Reasoning strategies; Heuristic search methods; Languages and programming techniques for AI; Constraint-based reasoning and constraint programming; Intelligent information fusion; Multisensor data fusion using neural and fuzzy techniques; Integration of AI with other technologies; Evaluation of AI tools; Social intelligence (markets and computational societies); Social impact of AI; and Satisfiability methods.
Applications of Computational Intelligence:
Pattern recognition applications; Machine vision; Brain-machine interface; Embodied robotics; Biometrics; Computational biology; Bioinformatics; Information mining and forecasting; Sensor networks; Information processing; Internet and multimedia; DNA computing; Machine learning applications; Multi-agent systems applications; Game technologies; Computational ocean and earth sciences; Computational chemistry and biochemistry; Computational physics; Medical applications; Transportation systems and simulations; Structural engineering; Computational electro-magnetic; Computer graphics and multimedia; Dynamic systems; Computational finance; Information mining and applications; Astrophysics; Biometric modeling; Geology and geophysics; Nuclear physics; Computational journalism; Computational sociology; Geographical Information Systems (GIS) and remote sensing; Military and defense related applications; Ubiquitous computing; and Emerging applications.
Other CFPs
Last modified: 2015-08-17 23:09:38