The emergent field of Intelligent Distributed Computing focuses on the development of a new generation of intelligent distributed systems. It faces the challenges of adapting and combining research in the fields of Intelligent Computing and Distributed Computing. Intelligent Computing develops methods and technology ranging from classical artificial intelligence, computational intelligence and multi-agent systems to game theory. The field of Distributed Computing develops methods and technology to build systems that are composed of collaborating components. The symposium welcomes submissions of original papers on all aspects of intelligent distributed computing ranging from concepts and theoretical developments to advanced technologies and innovative applications.
Paper acceptance and publication will be judged on the basis of their relevance to the symposium themes, clarity of presentation, originality and accuracy of results and proposed solutions.

• Intelligent Distributed and High-Perfomance Architecture
  • Hybrid systems involving software agents and human actors 
  • Intelligent cloud infrastructures 
  • Agent-based wireless sensor networks 
  • Distributed frameworks and middleware for the Internet of Things 
  • GPU, multicore, and many-core intelligent computing 
  • Intelligent grid 
  • Intelligent high-performance architectures 
  • Context-aware intelligent computing 
  • Virtualization infrastructures for intelligent computing 
• Organization and Management
  • Autonomic and adaptive distributed computing 
  • Intelligent service composition and orchestration 
  • Self-organizing and adaptive distributed systems 
  • Emerging behaviors in complex distributed systems 
  • Intelligent integration of heterogenous data and processes 
  • Methodologies for development of intelligent distributed systems and applications 
• Intelligent Distributed Knowledge Representation and Processing
  • Information extraction and retrieval in distributed environments 
  • Knowledge integration and fusion from distributed sources 
  • Data mining and knowledge discovery in distributed environments 
  • Semantic and knowledge grids 
  • Ontologies and meta-data for describing heterogeneous resources and services 
  • Distributed fusion of sensor data streams 
• Networked Intelligence
  • E-service and web intelligence 
  • Intelligence in mobile and ubiquitous computing 
  • Intelligence in Peer-to-Peer systems 
  • Intelligence in distributed multimedia systems 
  • Security, privacy, trust and reputation 
• Intelligent Distributed Applications
  • Distributed problem solving and decision making 
  • Intelligent applications in e-business/e-commerce, e-learning, e-health, e-science, e-government, crisis management 
  • Modeling and simulation of intelligent distributed systems 
  • Simulations of groups and crowds 
  • Intelligent data processing 
  • Intelligent robots