IIT Mandi virtually held its 2nd winter school on Cognitive Modeling from December 15 to 17, 2020. The event included key sessions from many international and national professionals and researchers to help students in the area of cognitive modeling.
The session was held by IIT Mandi in collaboration with Himachal Pradesh Technical University (HPTU), University of Waterloo, University of Groningen, and Indian Institute of Technology Roorkee.
Cognitive models are the implementation of human thought processes through computer simulations. Cognitive Modeling studies human cognition by creating behavior models in primary and applied domains by integrating both Artificial Intelligence (AI) and Machine Learning.
Cognitive models help researchers in understanding the decision-making process of people in different situations like driving or working in a stick market. Such decisions are based on emotions and experience.
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These models can also help explain how people make mistakes when performing decision tasks like allocating resources, negotiations among several individuals, and making real-world situations that involve risks.
Many National and International speakers were invited by IIT Mandi to speak at the event. The following section gives the speakers who were invited to the event.
- Dr. Marieke van Vugt from the University of Groningen, Netherlands
- Dr. Terrence C. Stewart from the University of Waterloo, Canada
- Dr. Partha Pratim Roy from Indian Institute of Technology Roorkee, India
- Dr. Varun Dutt from Indian Institute of Technology Mandi, India
- Dr. Arnav Bhavsar from Indian Institute of Technology Mandi, India
- Dr. Shubhajit Roy Chowdhury from Indian Institute of Technology Mandi, India
- Dr. Shruti Kaushik from Indian Institute of Technology Mandi, India
- Mr. Abhinav Choudhury from Indian Institute of Technology Mandi, India
Dr. Marieke van Vugt discussed the use of accumulator models during the 3 days event organized by IIT Mandi. She also gives insight into the use of mental models to understand depression and its effects.
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From the University of Waterloo, Dr. Terrence Stewart also shared his knowledge of tools like Nengo. He talked about their use in learning rules, optimization methods, neuron types, and studies of large-scale brain models. He also covered the importance of interdisciplinary researchers in his session.
Associate Professor from IIT Mandi, Varun Dutt said, “The School provided participants from diverse backgrounds and exposure to different models and tools including instance-based learning theory), accumulator models, Spiking neural network architectures (like Nengo) and EEG pattern classification, which could be used to model people’s decisions in a wide variety of basic and applied domains.”
He also emphasized the use of tools like PuIBL to map the thinking and decision making of people in real-world problems. This year's winter schools by IIT Mandi also included sessions about machine learning applications in healthcare and social network analysis, EEG-based image classification, and stroke diagnosis.
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