Cognitive System

Aims:

The Cognitive System Section focuses on the design and development of computational systems that emulate high-level human cognitive functions. The aim is to advance machines beyond mere data processing towards capabilities such as reasoning, problem-solving, perception, and semantic understanding. This Section explores the intersection of computer science, psychology, and cognitive science to create systems that can interact with their environment and users in an intelligent, adaptive, and context-aware manner. It serves as a platform for research that bridges cognitive informatics with practical computational models.

Scope:

This Section covers the principles and implementations of systems that exhibit cognitive capabilities. Key topics include the following:

• Cognitive Modeling and Informatics: Computational models of memory, attention, learning, and reasoning inspired by human cognition.
• Affect/Emotion/Personality Computing: Systems that can recognize, interpret, and simulate human emotions and personality traits.
• Human–Machine/Robot Interaction: Design of intuitive and natural interfaces, collaborative systems, and studies on human-agent teamwork.
• Cross-Modal Analysis and Reasoning: Integrating and reasoning over information from multiple modalities (e.g., text, audio, visual).
• Cognitive Sensor Networks: Networks of sensors that collaboratively process information to achieve high-level perception goals.
• Cognitive Brain Health: Computational models and digital tools for monitoring, assessing, and supporting neurological health and cognitive functions.