The Nineteenth International Conference on Advanced Cognitive Technologies and Applications (COGNITIVE 2027)

Key Topics

• BRAIN: Brain information processing and informatics
  • Human reasoning mechanisms
  • Cognitive and computation models
  • Brain learning mechanisms
  • Modeling brain information processing mechanisms
  • Modeling human multi-perception mechanisms and visual, auditory, and tactile information processing
  • Human cognitive functions and their relationships
  • Cognitive architectures
  • Neural structures and neurobiological process
  • Formal conceptual models of human brain data
  • Brain information storage, collection, and processing
  • Brain-computer interface
  • Knowledge representation and discovery in neuroimaging
  • Aesthetic emotions
  • Cognition-inspired complex systems
• NEW DIRECTIONS: Hot topics on cognitive science
  • Brain connectivity
  • Neuroscience
  • Neuromorphic computing
  • Brain-like Computing
  • Brain machine interface
  • Neuromorphic devices
  • Spiking hierarchical models
  • Interfacing via brain waves
  • Sensory modalities
  • Vision sensors
  • Hierarchical temporal memory
  • Temporal approach to object recognition
  • Reasoning with relative directions
  • Spatio-temporal event recognition
  • Mining cognitive patterns
  • Web-navigation via Cognitive Models
  • Computing with symmetries
  • Bag-of-Features for retrievals
  • Emotions and cooperation levels
  • Periphery of Knowledge
  • Cognitive Digital Twins
• MACHINE LEARNING: Advanced topics in Deep/Machine learning
  • Collective cognition
  • Distributed and parallel learning algorithms
  • Deep learning and Internet of Things
  • Image and video coding
  • Data preparation, feature selection, and feature extraction
  • Deep learning and Big data
  • 3D video coding and analysis
  • Error resilient transmission of multimedia data
  • Machine learning programming models and abstractions
  • Depth map applications
  • Visualization of data, models, and predictions
  • Programming languages for machine learning
  • Model training, inference, and serving
  • Hardware-efficient machine learning methods
  • Testing, debugging, and monitoring of machine learning applications
  • Trust and security for machine learning applications
  • AGENTS: Agent-based adaptive systems
  • Machine learning for systems
  • Agent models and architectures
  • Agent frameworks and development platforms
  • Cooperation, coordination, and conversational agents
  • Agent communication languages and protocols
  • Mobile, cognitive and autonomous agents
  • Group decision making and distributed problem solving
  • Security, trust, reputation, privacy and safety in agent-based systems
  • Task planning and execution in multi-agent systems
  • Web-oriented agents (mining, semantic discovery, navigation, etc
  • Negotiation brokering and matchmaking in agent-oriented protocols
  • Economic agent models and social adoption
  • SOA and software agents
• COGNITION: Artificial intelligence and cognition
  • Reasoning techniques, constraint satisfaction and machine learning
  • Expert systems, knowledge representation and reasoning
  • State space search, ontologies and data mining
  • Logic programming, fuzzy logic, neural networks, and uncertainty
  • Natural languages processing and advanced user interfaces
  • Games, planning and scheduling
  • Ambient intelligence, perception and vision
  • Cognitive, reactive and proactive systems
  • Pattern recognition
• APPLICATIONS
  • Agent-based interaction protocols and cognitive architectures
  • Agent-oriented modeling and methodologies
  • Agent-based assistants and e-health
  • Emotional modeling and quality of experience techniques
  • Knowledge and data intensive classification systems
  • Agent-based interfaces
  • Learning and self-adaptation via multi-agent systems
  • Agent-based fault-tolerance systems
  • Agent-based virtual enterprise
  • Task-based and task-oriented agent-based systems
  • Agent-based perceptive animated interfaces
  • Embodied agents and agent-based systems applications
  • Socially planning
  • Agent-based social simulation
  • E-Technology agent-based ubiquitous services and systems
• AUTONOMY: Autonomous systems and autonomy-oriented computing
  • Swarm intelligence and emergent behavior
  • Self-organized intelligence nature-inspired thinking paradigms
  • Coordination, cooperation and collective group behavior
  • Autonomy-oriented modeling and computation
  • Complex behavior aggregation and self-organization
  • Agent-based complex systems modeling and development
  • Autonomous and distributed knowledge systems
  • Agent-based knowledge discovery and sharing
  • Ontology-based agent services
  • Autonomous knowledge via information agents
  • Natural and social law discovery in multi-agent systems
  • Knowledge evolution control and information filtering agents
  • Auction, mediation, pricing, and agent-based market-places
  • Distributed problem solving in complex and dynamic environments
  • Autonomous auctions and negotiations