CAS 2016 - Complex Adaptive Systems 2016 Conference

Multi-faceted systems of the future will entail complex logic and reasoning with many levels of reasoning in intricate arrangement. The organization of these systems involves a web of connections and demonstrates self-driven adaptability. They are designed for autonomy and may exhibit emergent behavior that can be visualized. There is need to develop theory, methods and tools that will allow engineers to manage the increasing complexity in the design and operations of these systems. Our quest continues to handle complexities of future smart cities, smart countries and internet of things.
Researchers from academia, industry and government will meet in Los Angeles, CA in November 2016 to share their findings and expand the boundaries of research in engineering cyber physical systems and provide their experiences in bringing applied theory into practice that will be leading to an influential transition of complex adaptive system into systems engineering practice.
Sessions/Paper Topics
Cyber Physical Systems
Complex Analytics
Computational Complexity
Cyber Security Analytics
Emergent System Behavior
Formal Methods for Systems Architecting
Graph Theory Algorithms
Interacting Systems, Collective Dynamics
Models of Interactions Between Complex Systems
Networks of Networks
Resilience & Self Organization
Service & Distributed systems
Socio-technical Systems
Structure & Dynamics of Complex Networks
Systems Behavior Modeling
Systems Modeling & Design
Data Science and Analytics
Autonomous Decision Making
Clustering and Classification
Collaboration and Sharing for Big Data
Collective Analytics
Database Centric Architecture
Fuzzy Statistical Analysis and Fuzzy OR
Knowledge Discovery
Knowledge Extraction
Predictive Analytics
Social Network Data
Text Analytics and Natural Language Processing
Video and Image Analytics
Visualization for Big Data Analytics
Intelligent and Adaptive Systems
Advances in Artificial Neural Networks
Applications & Implementations of Deep Neural Networks
Artificial Intelligence
Biologically Plausible Machine Learning
Computational Intelligence
Evolutionary Game, Theory, Cooperation
Machine Learning
Neural Network Optimized for Big Data Environments
New Approaches to Deep Learning
Self-Organization
Swarm Intelligence
Emerging Technologies & Complexity
3D Printing/Bio Printing
Biomimicry
Heliospheric Engineering
Internet of Things
Quantum Biology & Quantum Computing
Unmanned Vehicles
Wearable Electronics
Next Generation Neural Networks
Compuound Hierarchical-Deep Models
Deep Belief Networks
Deep Learning and Spiking Neural Networks
Evolutionary Methods for Reservoir Computing
New Spiking Models
Business and Financial Analytics
Business Data Analytics
Financial Engineering
Financial Price and Volatility Forecasting
Financial Risk Management