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Generative Art and Computational Creativity

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Release date:2021

Author:Philippe Pasquire, Erne Eigenfeldt

Skill level:Intermediate

Language:English

Exercise files:Yes

This program offers an in-depth overview of the history and practice of generative systems applied to creative tasks. After defining generative art and computational creativity, students will be introduced to the various families of algorithms from artificial intelligence, machine learning, and artificial life that have been used for generative processes so far. The lecture material is illustrated by numerous examples from past and current productions across creative practices such as visual art, music, poetry, literature, performing arts, design, architecture, games, bioart and robotic art. The coursework will have you putting some of these algorithms to practical use in developing new generative pieces using the graphical programming language Max. This program will provide you with an approachable but comprehensive knowledge of some of the most powerful algorithms out there while addressing relevant philosophical and societal debates associated with the automation of creative tasks.

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Session 1 – Introduction and Typology of Generative Art
01 — Welcome
02 — Computational Creativity & Generative Art- Definitions
03 — Motivations for Computational Creativity & Generative Art
04 — Two Examples of Metacreations
05 — Elements of Creativity00-07-49
06 — A Typology of Creative Systems
07 — Session Conclusion
Resources.7z

Session 2 – History Of Generative Art, Chance Operations, and Chaos Theory
01 — Session Introduction
02 — From The Beginning
03 — The Proliferation of Machines00-15-41
04 — Randomness and Noise
05 — Chance as a Generator
06 — Chaos Theory and Fractals
07 — Session Conclusion
Resources.7z

Session 3 – Rule-Based Systems, Grammars and Markov Chains
01 — Rule-based Systems
02 — Generative Grammars
03 — The Chomsky Hierarchy
04 — Grammars in Generative Art and Computational Creativity
05 — Transition Networks
06 — L-systems
07 — L-system-based Art, Music, and Architecture
08 — Markov Models
09 — Markov Chains in Generative Art and Computational Creativity
10 — Hidden Markov Models (HMMs)
11 — Substitution Systems- Conclusion
Resources.7z

Session 4 – Cognitive Agents And Multiagent Systems
01 — Introduction to Artificial Agents
02 — Bots are Agents
03 — Rationale for Artificial Agents
04 — The BDI Architecture
05 — Artistic Applications of Cognitive Agents
06 — Agent Communication
07 — Conversational Agents
08 — Musebots
09 — Arne Eigenfeldt- Musebots
10 — Musebots- Getting Started
11 — Musebot Ensembles
12 — Musebot Files
13 — Downloading Musebots
14 — Making a Musebot in MaxMSP
15 — Session Conclusion
Resources.7z

Session 5 – Reactive Agents And Multiagent Systems
01 — Reactive Agent
02 — Robot Art
03 — Boids, Flocks, and Swarms
04 — Swarm Art
05 — Hybrid Architectures
06 — Musical Agents that use Reactive or Hybrid Architectures
07 — Conclusion- Agents and Multiagent Systems
Resources.7z

Session 6 – A-Life And Cellular Automaton
01 — Introduction to Artificial Life
02 — Cellular Automata
03 — Cellular Automata in Visual Art
04 — Cellular Automata in Music
05 — Biological Agents
06 — Multiagent Ecosystems
07 — Ecosystems in Generative Art
08 — Ecosystems in Games
09 — Conclusion to Generative Art and Computational Creativity
Assignment.7z
Resources.7z

Course Gallery–.7z


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10 Comments

  1. I saw this course on Udemy and thought of you.
    https://www.udemy.com/share/103ViMAEMTcF1SQH8J/I saw this course on Udemy and thought of you.
    https://www.udemy.com/share/102j7oAEMTcF1SQH8J/I saw this course on Udemy and thought of you.
    https://www.udemy.com/share/103ObkAEMTcF1SQH8J/
    Admin please these courses
    If first priority than pro unreal engine game coding
    Pls admin add these courses

  2. Guys do you have any brainstorm school courses? It would help me alot.
    Website:- https://www.brainstormschool.com/foundation-images

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