Call for Papers


The purpose of the First International Conference on Artificial Intelligence & Cognitive Computing to bring together researchers, engineers and practitioners interested in the theory and applications in the areas of Artificial Intelligence and Cognitive Computing. Two simultaneous related tracks will be held, covering both applications and current research work. One track focuses on Artificial Intelligence, Knowledge Representation, Planning, Learning, Scheduling, Perception Reactive AI Systems, and Evolutionary Computing and other topics related to Intelligent Systems and Computational Intelligence. The other track focuses mainly on Cognitive Computing, Cognitive Science and Cognitive Informatics


A substantial amount of research work in Artificial Intelligence & Cognitive Computing is ongoing in these knowledge areas, in an attempt to discover appropriate theories and paradigms to use in real-world applications. This conference intends to emphasize this connection; therefore, authors are invited to highlight the benefits of Information Technology (IT) in these areas. Ideas on how to solve problems using artificial intelligence and cognitive computing, both in R&D and industrial applications, are welcome. Papers describing advanced prototypes, systems, tools and techniques indicating future directions are also encouraged. Papers describing original work are invited in any of the areas listed below. Accepted papers, presented at the conference by one of the authors, will be published in the Proceedings of Springer(approval pending).


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.


Special sessions, dedicated to case-studies and commercial presentations, as well as tutorials dedicated to technical/scientific topics are also envisaged: companies interested in presenting their products/methodologies or researchers interested in holding a tutorial are invited to contact the Organizing Chair.


Conference Areas


Each of these topic areas is expanded below but the sub-topics list is not exhaustive. Papers may address one or more of the listed sub-topics, although authors should not feel limited by them. Unlisted but related sub-topics are also acceptable, provided they fit in one of the following main topic areas:


Track 1: Artificial Intelligence
  • Intelligent User Interfaces
  • Bayesian Networks
  • Soft Computing
  • Neural Networks
  • Natural Language Processing
  • Machine Learning
  • Planning and Scheduling
  • Knowledge Representation and Reasoning
  • Uncertainty in AI
  • Model-Based Reasoning
  • Ontologies
  • Data Mining
  • Data Science
  • Constraint Satisfaction
  • State Space Search
  • Case-Based Reasoning
  • Cognitive Systems
  • Intelligence and Cybersecurity
  • Vision and Perception
  • Pattern Recognition
  • Ambient Intelligence
  • AI and Creativity
  • Evolutionary Computing
  • Fuzzy Systems
  • Knowledge-Based System
  • Industrial applications of AI
  • Hybrid Intelligent Systems
  • Visualization
  • Deep Learning
  • Semantic Web
  • Multi-Agent Systems
  • Distributed Problem Solving
  • Agent Communication Languages
  • Agent Models and Architectures
  • Cooperation and Coordination
  • Conversational Agents
  • Negotiation and Interaction Protocols
  • Programming Environments and Languages
  • Task Planning and Execution
  • Autonomous Systems
  • Cognitive Robotics
  • Group Decision Making
  • Web Intelligence
  • Agent Platforms and Interoperability
  • Agent Oriented Software Engineering
  • Simulation
  • Economic Agent Models
  • Mobile Agents
  • Privacy, safety and security
  • Collective Intelligence
  • Physical Agents at Work
  • Robot and Multi-robot Systems
  • Self Organizing Systems
  • Cloud Computing and Its Impact
  • Intelligent Auctions and Markets
  • Swarm Intelligence
Track 2: Cognitive Computing
  • Cognitive computers
  • Cognitive robotics
  • Autonomous Computing
  • Knowledge processors
  • Cognitive semantics of big data
  • Cognitive machine learning
  • Knowledge manipulations
  • Pattern recognition
  • Cognitive agent technologies
  • Cognitive inferences
  • Computing with words (CWW)
  • Cognitive decision theories
  • Concept & semantic algebras
  • Fuzzy/rough sets/logic
  • Affective computing
  • Cognitive systems
  • Cognitive man-machine communication
  • Cognitive Internet
  • World-Wide Wisdoms (WWW+)
  • Mathematical engineering for AI
  • Cognitive vehicle systems
  • Semantic computing
  • Distributed intelligence
  • Mathematical models of AI
  • Cognitive signal processing
  • Cognitive image processing
  • Artificial neural nets
  • Genetic computing
  • Brain-inspired systems
  • Neuroinformatics
  • Neurological foundations of the brain
  • Computational brain science
  • Software simulations of the brain
  • Brain-system interfaces
  • Neurocomputing
  • eBrain models
  • DNA and genome cognition
  • Computational neurology
  • Brain image processing
  • Bioinformatics
  • System models of the brain
  • Cognitive process models
  • Neurocircuit theories