📈 Laboratory works on the subject "Economic decision theory"
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Updated
Dec 30, 2020 - Jupyter Notebook
📈 Laboratory works on the subject "Economic decision theory"
Labs for "Decision theory" course of BMSTU Software Engineering first year
Bayesian Search & Rescue simulation: use Bayes’ rule + noisy search-effectiveness to update target probabilities and find a lost sailor on an OpenCV map. Includes Monte Carlo strategy tester & planned vs. actual SEP
Microcontrollers cluster analysis
A systems-thinking essay arguing that most optimization quietly trades away buffers, slack, and resilience to make present metrics look better. It reframes efficiency as borrowing stability from the future, and shows how education, workforce, infrastructure, markets, and hardware all get optimized into fragility.
EE7403 Image Analysis & Pattern Recognition
Code for the paper: "Profit over Proxies: A Scalable Bayesian Decision Framework for Optimizing Multi-Variant Online Experiments".
dips: Decisions in Preference Systems
Team project for the discipline "Decision Theory" of 4th-year students (гр. ПС-21-1) of Oles Honchar Dnipro National University (lab. 2; team 2)
Efficient Government Strategies: Research findings on revolution, legal aspects, and societal satisfaction, supported by literature analysis and a Python-powered survey approach. Explore results and documentation in the attached files.
Presentation slides of a talk about what is rationality in decision making from game theory perspective?
this is part of an acedamic study. access preprint: https://doi.org/10.21203/rs.3.rs-6015303/v1
Matlab scripts for implementing different stochastic methods
Spam or Ham Classification Project
Diversified Farming Systems -- Markov Decision Process Model
Learned both learning and problem solving to develop statistical models for real-world AI applications
An AI which solves the game SumX.
🔘 Decision theory java swing app
Experimenting with intelligent agents utilizing a variety of different algorithmic methods to develop an expert level bot for the card game of Schnapsen.
Finite-horizon dynamic programming and Monte Carlo simulation of an optimal policy under uncertainty – bridging inventory theory and quantitative finance decision models.
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