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IT3708 - Subsymbolic Methods in AI, Spring 2014

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  • Lecture Materials

    Slides from the lectures, along with relevant reading material are found here. Since the course is in the process of revision, the appropraite reading material for a given lecture will appear as soon as the material is ready.

    All of the reading material is intended to be helpful, either directly in terms of the projects, or indirectly in terms of your AI education and your future master thesis.

    1) Introduction to Swarm Robotics

    - Focus on the main sources of biological inspiration, the key problem areas, and the hand-crafted methods.

    Slides: Swarm Robotics

    2) Adaptivity in Swarms

    - Focus on useful adaptive techniques for swarms: learning and evolution.

    Slides Adaptive Swarms

    3) Programming Swarm Robots

    Link: BoxCar 2D

    4) Introduction to Complex Adaptive Systems and Bio-AI

    Slides: Bio-AI , CAS

    Notes: Bio-AI , CAS , Search

    Additional Reading:

    5) Introduction to Evolutionary Algorithms

    Slides: EAs

    Notes: EAs , Implementing EAs

    Additional Reading: 1.1 - 1.12 of Bio-AI book

    6) Representations for Evolutionary Computation

    Slides: EA Rep

    Notes: EA Search and Rep

    Additional Reading: 4.1 - 4.5 of Bio-AI book

    7) Introduction to Artificial Neural Networks (ANNs)

    Slides: ANNs

    Notes: ANNs

    Additional Reading: 3.1 - 3.6 of Bio-AI book

    8) Supervised and Unsupervised Learning in (ANNs)

    Slides: Sup , UnSup

    Notes: Sup , UnSup

    Additional Reading: 3.6 - 3.13 of Bio-AI book

    9) Evolution and Development of the Brain + Genetic Programming

    Slides: Brain EvoDevo

    Notes: Brain EvoDevo ,

    Additional Reading: Devp chapter in Bio-AI book

    10) Evolving ANNs

    Slides: EANNs

    Notes: EANNs ,

    Additional Reading: 7.1 - 7.4 of Bio-AI book

    11) Applications of Bio-Inspired AI

    Slides: Bio-AI Apps

    Notes: EA Apps ,

    Additional Reading:

    12) Knowledge Representation in ANNs

    Slides: ANN Kwg Rep

    Notes: ANN Kwg Rep ,

    Additional Reading: 1.13 - 1.21 of Bio-AI book

    13) Circus Circuits: A Collection of Neural Networks

    Slides: Circuits


    Additional Reading:

    14) Reinforcement Learning in ANNs

    Slides: ANN RL

    Notes: ANN RL ,

    Additional Reading:


    15) Information Theory for Evaluating Neural Networks

    Slides: ANN Info Theory

    Notes: ANN Info Theory ,

    Additional Reading:

    16) Emergent Intelligence and the Future of Bio-AI

    Slides: Future AI


    Additional Reading:

    Lecture dates etc are found in the "Schedules" section of the website.

    RedaktÝr: Kontorsjef: Eivind Voldhagen  Kontaktadresse: Pauline Haddow  Sist oppdatert: 01.01.1970