Interactive Landslide Simulator at Applied Cognitive Science Lab, IIT Mandi, India. PI - Dr. Varun Dutt (https://aroraakshit.github.io/ils/)
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Updated
Feb 7, 2024 - PHP
Interactive Landslide Simulator at Applied Cognitive Science Lab, IIT Mandi, India. PI - Dr. Varun Dutt (https://aroraakshit.github.io/ils/)
Risk Sensitive Value Iteration algorithm and optimized strategies
Work in Progress. Implementation of the Monte Carlo Tree Search, a decision making algorithm.
This paper presents the design and development of a Fuzzy Inference Systems (FIS) to provide advice and assist in the decision- making process for job application into the cyber security industry.
Decision Tree Analysis for Prescriptive Analytics
Implementations of various decision-making models in Python
Landing page for Gandalf Decision Tables Engine.
PUBLIC analytics tools for the people about political systems in order to make more informed decisions.
An interactive restaurant decision-making game that searches by zip code and meal of choice
Outline of proposed Consensus Mechanism for various decision making issues including qualities of life, value of life and utility of proposed action within the ethical framework
Analysing fuzzy logic and inference in approximate reasoning.
This project explores strategies to play the Minesweeper game effectively by leveraging various Artificial Intelligence algorithms.
Learning materials, assignments, and helpful resources for professional certification. Completed October 2022
Airline Passenger Satisfaction Analysis
This MATLAB code is a tool developed to assemble four types of fuzzy Delphi methods
This codebase features AI algorithms for smarter gaming experiences. It includes implementations of strategies like Greedy, Minimax, Alpha-Beta Pruning, and Expectimax. These algorithms empower AI agents to make optimal decisions in games, enhancing strategic gameplay.
Scripts related to "Exploring the relationships between sensory processing sensitivity, decision-making, and brain white matter microstructure"
Research project investigating the addition of confidence bounds to the drift diffusion model (DDM) in order to explain confidence ratings and their associated reaction times.
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