The AICC-2018 is the first international conference on Artificial Intelligence and Cognitive computing domain being held in MLR Institute of Technology, Hyderabad. Artificial Intelligence & Cognitive computing is a multi-disciplinary research field that addresses the development of intelligent systems inspired by the Cognitive Science and Neuropsychology to implement brain like mechanism for better learning, reasoning and engaging. The scope includes Machine Learning, Neural computing, Neural models of memory, Cognitive sensor-networks, Neuro-control, Brain-computer interface, Brain signal processing, Artificial intelligence, Evolutionary computing, Swarm Intelligence, Machine collaboration, Cognitive robots and Multi-agent systems. It also includes application of cognitive computing in Medical Informatics, Structural health monitoring, computational intelligence, Intelligent Control Systems, Bio informatics, Smart manufacturing, Smart grids, Image/Video processing, Video Analytics, Medical image and signal processing, knowledge engineering as well as Engineering Applications.
This conference aims at bringing researchers, graduate students, practitioners from industry to report and review current progress in the field of Artificial Intelligence and Cognitive Computing
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
