Cognitive modeling and simulation

Module title:

Cognitive modeling and simulation

Module overview:

The module aims to explore the foundations of cognitive modelling and simulation in computational models and equip students with the skills to construct and evaluate computational models simulating various cognitive processes. The goals include:
understanding mechanisms of information processing in the human brain
interpreting behavioural, neuropsychological, and neuroscientific data
understanding techniques for facilitating learning in normal cognition
building computational models of cognitive processes

This module includes interdisciplinary approach and empirical validation to help students to:
develop proficiency in building and analysing models representing memory, perception, problem-solving, and decision-making using techniques from cognitive science, neuroscience, psychology, and artificial intelligence.
integrate knowledge across disciplines to gain a comprehensive understanding of how the human mind processes information.
emphasize the importance of testing models against empirical data.

Literature:

Required readings:
Dutta, P., Pal, S., Kumar, A., and Cengiz, K. (2023). Artificial Intelligence for Cognitive Modeling: Theory and Practice (1st ed.). Chapman and Hall/CRC.

Supplementary readings
Sun R, ed. Cognition and Multi-Agent Interaction: From Cognitive Modeling to Social Simulation. Cambridge University Press; 2005.
Ghose, P., and Patra, S. (2023). An Interdisciplinary Approach to Cognitive Modelling: A Framework Based on Philosophy and Modern Science (1st ed.). Routledge