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23/05/2025
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Complex systems and AI

Complex systems and AI

Everyone in a complex system has a slightly different interpretation.

  • Corrected Exercises
  • math
    • Mathematics
    • Optimization and combinatorics
    • Optimization and linear programming
    • Planning problem
    • Path search
    • Maximum flow problem
  • Systemic analysis
    • Help with the decision
    • Algorithmic
    • Software analysis
    • Industrial problems and polynomial reduction
    • Game theory
    • Graph theory
    • Markov process
    • Language theory
  • Data Analysis
    • Data analysis
    • Descriptive analysis
    • Statistical inference
    • Correlation and Regressions
    • dataviz
  • Machine learning
    • Supervised learning
    • Data Clustering/Partitioning
    • Prediction/Forecasting
    • Data mining
    • Anomaly detection
    • Automated learning
    • Weak supervision
    • Reinforcement learning
  • Artificial intelligence
    • Stochastic algorithms
    • Evolution algorithms
    • Physics-based algorithms
    • Probabilistic algorithms
    • Swarm algorithms
    • Immune algorithm
    • Neural algorithms
  • Methodologies
  • Library
  • Corrected Exercises
  • math
    • Mathematics
    • Optimization and combinatorics
    • Optimization and linear programming
    • Planning problem
    • Path search
    • Maximum flow problem
  • Systemic analysis
    • Help with the decision
    • Algorithmic
    • Software analysis
    • Industrial problems and polynomial reduction
    • Game theory
    • Graph theory
    • Markov process
    • Language theory
  • Data Analysis
    • Data analysis
    • Descriptive analysis
    • Statistical inference
    • Correlation and Regressions
    • dataviz
  • Machine learning
    • Supervised learning
    • Data Clustering/Partitioning
    • Prediction/Forecasting
    • Data mining
    • Anomaly detection
    • Automated learning
    • Weak supervision
    • Reinforcement learning
  • Artificial intelligence
    • Stochastic algorithms
    • Evolution algorithms
    • Physics-based algorithms
    • Probabilistic algorithms
    • Swarm algorithms
    • Immune algorithm
    • Neural algorithms
  • Methodologies
  • Library

ILV - Promo 2018 - SMART CITY & ENERGY

Course in PDF version and examples.

  1. Introduction to multi-agent and reflection on the smart house
  2. Introduction to modeling and writing agents
    • Example of a simple reflex agent
    • Example of a “simplified” learning agent
  3. Definition of smart home and final report

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Welcome » Algorithmics 101 » ILV - Promo 2018 - SMART CITY & ENERGY

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