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Go at your own pace
6 Sessions / 9 hours of work per session
Price
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Included w/ premium membership ($20/month)
Skill Level
Intermediate
Video Transcripts
English, Spanish; Castilian, Russian, Chinese, Portuguese
Topics
Performance Art, Design Architecture, Games, Robotics
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Generative Art and Computational Creativity

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Go at your own pace
6 Sessions / 9 hours of work per session
Price
Free
Included w/ premium membership ($20/month)
Skill Level
Intermediate
Video Transcripts
English, Spanish; Castilian, Russian, Chinese, Portuguese
Topics
Performance Art, Design Architecture, Games, Robotics
Course Description

This course proposes an introduction and overview of the history and practice of generative arts and computational creativity with an emphasis on the formal paradigms and algorithms used for generation.

On the technical side, we will study core techniques from mathematics, artificial intelligence, and artificial life that are used by artists, designers and musicians across the creative industry. We will start with processes involving chance operations, chaos theory and fractals and move on to see how stochastic processes, and rule-based approaches can be used to explore creative spaces. We will study agents and multi-agent systems and delve into cellular automata, and virtual ecosystems to explore their potential to create novel and valuable artifacts and aesthetic experiences.

The presentation is illustrated by numerous examples from past and current productions across creative practices such as visual art, new media, music, poetry, literature, performing arts, design, architecture, games, robot-art, bio-art and net-art. Students get to practice these algorithms first hand and develop new generative pieces through assignments and projects in MAX. Finally, the course addresses relevant philosophical, and societal debates associated with the automation of creative tasks.

Music for this course was composed with the StyleMachineLite Max for Live engine of Metacreative Inc.
Artistic direction: Philippe Pasquier, Programmation: Arne Eigenfeldt, Sound Production: Philippe
Bertrand

schedule

This course is in adaptive mode and is open for enrollment. Learn more about adaptive courses here.

Session 1: Introduction and Typology of Generative Art (December 21, 2018)
To start off this course, we define generative art and computational creativity and discuss how these relate through the study of prominent examples. We establish a typology of generative systems based on levels of autonomy and agency.
7 lessons
1. Welcome
2. Computational Creativity & Generative Art: Definitions
3. Motivations for Computational Creativity & Generative Art
4. Two Examples of Metacreations (Premium Exclusive)
5. Elements of Creativity
6. A Typology of Creative Systems
7. Session Conclusion
Session 2: History Of Generative Art, Chance Operations, and Chaos Theory (December 28, 2018)
Generative art is nothing new, and this session goes through the history of the field from pre-history to the popularization of computers. We study chance, noise, fractals, chaos theory, and their applications in visual art and music.
7 lessons
1. Session Introduction
2. From The Beginning
3. The Proliferation of Machines
4. Randomness and Noise
5. Chance as a Generator
6. Chaos Theory and Fractals (Premium Exclusive)
7. Session Conclusion
Session 3: Rule-Based Systems, Grammars and Markov Chains (January 4, 2019)
This session introduces and illustrate the generative potential of rule-based and expert systems. We study generative grammars through the Chomsky hierarchy, and introduce L-systems, shape grammars, and Markov chains. We discuss how these have been applied in visual art, music, design, architecture, and electronic literature.
11 lessons
1. Rule-based Systems
2. Generative Grammars
3. The Chomsky Hierarchy (Premium Exclusive)
4. Grammars in Generative Art and Computational Creativity
5. Transition Networks
6. L-systems
7. L-system-based Art, Music, and Architecture (Premium Exclusive)
8. Markov Models
9. Markov Chains in Generative Art and Computational Creativity
10. Hidden Markov Models (HMMs) (Premium Exclusive)
11. Substitution Systems: Conclusion
Session 4: Cognitive Agents And Multiagent Systems (January 11, 2019)
This session introduces the concepts underlying the notion of artificial agents. We study the belief, desire, and intention (BDI) cognitive architecture, and message based agent communication resting on the speech act theory. We discuss musical agents, conversational agents, chat bots and twitter bots and their artistic potential.
15 lessons
1. Introduction to Artificial Agents
2. Bots are Agents
3. Rationale for Artificial Agents
4. The BDI Architecture (Premium Exclusive)
5. Artistic Applications of Cognitive Agents
6. Agent Communication
7. Conversational Agents (Premium Exclusive)
8. Musebots
9. Arne Eigenfeldt: Musebots
10. Musebots: Getting Started (Premium Exclusive)
11. Musebot Ensembles
12. Musebot Files
13. Downloading Musebots
14. Making a Musebot in MaxMSP
15. Session Conclusion
Session 5: Reactive Agents And Multiagent Systems (January 18, 2019)
In this session, we introduce reactive agents and the subsumption architecture. We study boids, and detail how complex behaviors can emerge from a distributed population of simple artificial agents. We look at a myriad of applications from ant painting to swarm music and we discuss artistic approaches to virtual ecosystems.
7 lessons
1. Reactive Agent
2. Robot Art
3. Boids, Flocks, and Swarms (Premium Exclusive)
4. Swarm Art
5. Hybrid Architectures
6. Musical Agents that use Reactive or Hybrid Architectures (Premium Exclusive)
7. Conclusion: Agents and Multiagent Systems
Session 6: A-Life And Cellular Automaton (January 25, 2019)
In this concluding session, we introduce artificial life (A-life). We study cellular automaton, multi-agent ecosystems for music, visual art, non-photorealistic rendering, and gaming. The session also concludes the class by reflecting on the state of the art in the field and its consequences on creative practices.
9 lessons
1. Introduction to Artificial Life
2. Cellular Automata
3. Cellular Automata in Visual Art
4. Cellular Automata in Music (Premium Exclusive)
5. Biological Agents
6. Multiagent Ecosystems
7. Ecosystems in Generative Art
8. Ecosystems in Games (Premium Exclusive)
9. Conclusion to Generative Art and Computational Creativity
Reviews
Learning Outcomes

Below you will find an overview of the Learning Outcomes you will achieve as you complete this course.

Instructors & Guests
What You Need to Take This Course

• Skill Level: Students should have intermediate knowledge of Max/MSP in order to complete assignments.

• Equipment: PC or Mac computer with installation privileges.

• Software: MAX 7 license

Additional Information

PLEASE NOTE: Taking part in a Kadenze course as a Premium Member does not affirm that you have been enrolled or accepted for enrollment by the institution offering this course. Credit Eligible students should be prepared to provide additional information and consent to Simon Fraser University terms of service at the start of the course.

In order to receive college credit for these program courses, you must successfully complete and pass all 2 courses in this program. If a student signs up for the Generative Art and Computational Creativity program, it is recommended that these courses are taken sequentially.

*Partial credit will not be awarded for completion of only one course.

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