SlideShare a Scribd company logo
Jeremy Peterson
MFA Design + Technology




SuperFlock
ART/SCI
5570B Applied Research

Prof. Victoria Vesna
Parsons/New School

11/1/2011
Abstract

“Emergence refers to revealing, appearing, or ‘making vis-      My question: What are the emergent 3 dimensional
ible’ an event, object, or the outcome of a process. In an      forms created by the outer boundaries of the swarm
art context, emergence also encompasses novelty, sur-           shape; and how can we use the behavior of flocking to
prise, spontaneity, agency, even creativity itself.”            generate these forms and create these responsive and
                                                                dynamic forms?
Design is always in search of new visual forms and inter-
actions that science and technology enable us to see. The
impetus for this project comes from a desire to explore
the creation of emergent forms and gain a deeper under-
standing of systems based on natural phenomena. Hu-
mans tend to fear what they don’t understand and it is the
role of the designer and artist to rationalise and recontex-
tualize these moments.

I’m interested in large flocks of animals where the result-
ing swarm can resemble one emergent but solid shape
shifting entity that can be described as a superorganism.
This form is constantly in a state of flux and it is not pos-
sible to grasp its dimensions with the naked eye. Now
that we can simulate flocking behavior with some accuracy
using computers it becomes possible to model and study
the emergent behaviors that occur in this system. The
ability to quantify the data that results in swarms enables
artists to work with flocking behavior as a generative pro-
cess that creates emergent forms.
Concept / Topic

The collective behavior of the swarm creates what is         The plan on how to engage with this idea comes in three
called a superorganism, which is an organism consisting      phases. The first to develop a system to map the forms;
of many organisms. My concept is to model the exterior       this will be done in Processing or OpenFrameworks where
forms that swarms create and put a ‘skin’ around it in       behavioral libraries already exist that can be leveraged.
order to make a superorganism that is visible and to give    The second phase is to iterate and create a comparative
the user an opportunity to view and interact with it.        study of forms by playing with the rules that create each
                                                             emergent form. Flocks can be programmed to exhibit be-
3 main rules inform all of the outcomes in flocking behav-   haviors tied to resource gathering, predator avoidance, or
ior and they are:                                            species specific flocking behavior. The final step is to cre-
                                                             ate an interactive product that reacts dynamically to user
Separation                                                   stimulus. This will be the most challenging, but ultimately
Alignment                                                    the most rewarding phase.
Cohesion

“You need to move with the same speed and direction as
your neighbors, you need to avoid hitting them and you
need to stay close,” Sabine Hauert, MIT

Flocking behavior is also interesting because of it’s high
rate of adaptability to it’s environment. The simple rules
that it follows allow for a cohesive form to be retained
even when individual agents are interrupted. This results
in a very solid, yet totally dynamic emergent superorgan-
ism.
Context & Precedence
                                                                                                                           screenshot from ‘Boids’ - Craig Reynolds (1986)


“Generative art usually involves poeisis, which suggests      ics, VR, Games, Robotics, Aerospace, Education, AI, Art,
that it should reveal the world in ways that nature can’t –   Biology, Physics, Emergent behavior, search optimization
hence technology seems a possible, but not necessarily        & visualization techniques.
unique, vehicle to achieve this aim.”
                                                              The most recent and relevant example to this project I
Art, Emergence, and the Computational Sublime                 found is from 2010 where Corrie Van Sice at NYU created
Jon McCormack and Alan Dorin                                  a 3D printed sculpture by simulating the movement of a
                                                              flock over time in a digital environment. Her impetus for
Any computer modeling done in this project will have a        the project is: “I am interested in using the algorithm as
shared lineage with Craig Reynolds original brilliant pro-    a tool for generating form, as if it were a brush or blade
gram entitled ‘Boids’ In 1986 Reynolds devised the boids-     leaving traces of itself on an object”
algorithm, based on a model of the interactions in flocks,
herds or schools of animals. The magic of the boids algo-     There is a long history of art and science collaborating
rithm is that complex overall patterns emerge from simple     to create new forms enabled by new technology. A great
                                                                                                                           Ernst Haeckel (1860’s)
rules describing their interactions.                          example is biologist/artist Ernst Haeckel in the 1800’s;
                                                              who’s study of microscopic radiolarian forms was used as
There have been many other computational models of            inspiration and sometimes almost exact reproduction by
group motion/ swarm behavior created since 1986, and          the designer Rene Binet who developed these forms into
as Reynolds himself lists on his website, they’ve been        designs who’s application ranged from patterns to archi-
used in Computer Animation, Robotics, Interactive Graph-      tecture.




                                                                                                                           Corrie Van Sice (2010)
Project Proposal                                                                ( Phase I )

                                                           example sketch
                                                           from video source:




Begin by figuring out the basic modeling of the superorganism’s form in Processing or OpenFrameworks.

This is a technical exercise and is done to understand what kind of parameters to take into consideration when moving forward with creating additional forms.

Alternately the data could also be captured using a 3D scanning camera and a live swarm. ( this might be possible to do using fish or possibly insects )
Project Proposal                                                                 ( Phase II )




- Create a study of comparative forms in superorganisms formed by flocking behavior.

- Create and iterate the resulting forms by working with the parameters of each and altering their behavior to specific species of animals.

- Iterate on the forms further by introducing new variables such as predators & food sources behavior to achieve a wide variety of results.
Project Proposal                                                                  ( Phase III )




                                                                                                                                              Dynamic and reactive form
                                                                                                                                              that is constantly animated
                                                                                                                                              while retaining cohesion.




Find a way to model the behavior in real time for an audience to interact with.

This might start out as an interactive installation. (screen/projector based installation with the audience interacting with a projected image )

The ultimate goal would be to create a reactive physical object for an installation.
Conclusion

Creating a superorganism from the swarm and animating            By modeling these forms we can understand them. By
it will create a memorable but perplexing experience for         making them interactive we can take even more of the
the viewer and allow them to see and understand a little         mystery from them and create emergent interactive art.
bit about the world as seen through an unexpected lens.          This project helps make the unknowable and invisible
                                                                 into something that can be seen and understood.
The audience is invited to experience this new form in
order to better understand the phenomena of flocking be-
havior. This also introduces people to the ideas of swarm
intelligence, super organisms, and emergence. The super-
organism is not controlled by one entity but by the collec-
tive ‘intelligence’ of the entire swarm. It is a form created
by reaction. This intelligence is visible, it reacts to stimu-
lus and can problem solve to find resources and avoid
danger. The viewer is confronted with a paradox of an or-
ganism who’s intelligence is clearly visible but not central-
ized and who’s form is never static or exactly repeating.
R EF ERE N C E S




Corrie Van Sice
http://itp.nyu.edu/~cvs245/Blog/?p=456

Craig Reynolds & Boids
http://www.red3d.com/cwr/boids/

Rene Binet
http://www.johncoulthart.com/feuilleton/2010/09/18/
esquisses-decoratives-by-rene-binet/

Ernst Heinrich Philipp August Haeckel
http://en.wikipedia.org/wiki/Ernst_Haeckel

Art, Emergence, and the Computational Sublime
Jon McCormack and Alan Dorin
http://citeseerx.ist.psu.edu/viewdoc/
summary?doi=10.1.1.16.6640

Superorganism
http://en.wikipedia.org/wiki/Superorganism

More Related Content

KEY
Dissolving Surfaces, 2010, Mauricio Herrero, Hybrid Worlds
KEY
Mauricio Herrero, Dissolving Surfaces, Hybrid Worlds
PDF
IROS 2015 - Manuscript 1
PDF
5 6-john sutcliffe‐braithwaite
PDF
Educational Robotics Between Narration and Simulation
PDF
Share Festival Networked Objects Manufacturing 031508.Key
PPTX
Creation and Evolution through the Logos book 1 chap 3
PDF
AniThings: Animism and Heterogeneous Multiplicity
Dissolving Surfaces, 2010, Mauricio Herrero, Hybrid Worlds
Mauricio Herrero, Dissolving Surfaces, Hybrid Worlds
IROS 2015 - Manuscript 1
5 6-john sutcliffe‐braithwaite
Educational Robotics Between Narration and Simulation
Share Festival Networked Objects Manufacturing 031508.Key
Creation and Evolution through the Logos book 1 chap 3
AniThings: Animism and Heterogeneous Multiplicity

Viewers also liked (7)

PDF
Внедрение Project Server 2013 в проектном институте
PPTX
Finance can drive growth and innovation with the right operating model
PPTX
Inspiring women ecdi uk
PDF
Israel maximillian 177_final
PDF
The WNS-Outsourcing Center Survey - FAO Outsourcing Drivers
PDF
Foodlets Team Interview - Navhind Times
PPTX
Analytics-driven order management drives customer loyalty
Внедрение Project Server 2013 в проектном институте
Finance can drive growth and innovation with the right operating model
Inspiring women ecdi uk
Israel maximillian 177_final
The WNS-Outsourcing Center Survey - FAO Outsourcing Drivers
Foodlets Team Interview - Navhind Times
Analytics-driven order management drives customer loyalty
Ad

Similar to Jeremy p 5570_b_midterm (20)

PDF
Love, j. pasquier, p. wyvill, b.tzanetakis, g. (2011): aesthetic agents swarm...
PDF
Academic Course: 08 Pattern-based design of autonomic systems
PDF
Coates p: 1999 agent based modelling
PDF
Autonomous robots that paint
PDF
Morphogenetic Engineering: Reconciling Architecture and Self-Organization Thr...
PPT
The Singularity is Far (Singularity U presentation by Bruce Damer Aug 2010)
PDF
Evolutionary swarm design of architectural idea models
PDF
Swarm Systems In Art And Architecture State Of The Art 1st Edition Mahsoo Salimi
PDF
SIMTECT-2013-Images-That-Change-KP
PDF
Pheade 2011
PDF
Greenfield, g (2012): stigmmetrgy prints from patterns of circles
PDF
Nature-inspired Coordination for Complex Distributed Systems
PPT
Week 12 future computing 2014 tr2
PDF
Toward a Systemic Will to Live - Patters of Self-Organizing Agile Security
PDF
B1.2 Project report
PPT
Mani nilchiani parsons_artsci_midterm-1
KEY
Designing cyborgs
PDF
11horses - the viral issue
PDF
Project Prop Diegogomez
Love, j. pasquier, p. wyvill, b.tzanetakis, g. (2011): aesthetic agents swarm...
Academic Course: 08 Pattern-based design of autonomic systems
Coates p: 1999 agent based modelling
Autonomous robots that paint
Morphogenetic Engineering: Reconciling Architecture and Self-Organization Thr...
The Singularity is Far (Singularity U presentation by Bruce Damer Aug 2010)
Evolutionary swarm design of architectural idea models
Swarm Systems In Art And Architecture State Of The Art 1st Edition Mahsoo Salimi
SIMTECT-2013-Images-That-Change-KP
Pheade 2011
Greenfield, g (2012): stigmmetrgy prints from patterns of circles
Nature-inspired Coordination for Complex Distributed Systems
Week 12 future computing 2014 tr2
Toward a Systemic Will to Live - Patters of Self-Organizing Agile Security
B1.2 Project report
Mani nilchiani parsons_artsci_midterm-1
Designing cyborgs
11horses - the viral issue
Project Prop Diegogomez
Ad

More from ArtSci_center (20)

PPTX
Turing nucleotidecryptology
PDF
Jen-Ling Nieh Blog compilation
PDF
Lee s 177_final
PDF
Jung e 177_final
PDF
Eiesenhardt l 177_final
PDF
Borowski hnrs 177 final blog compilation
PPTX
Hnrs 177 midterm ppt
PDF
Turing fibonacci numbers
PDF
Xia j 177_final
PDF
Turing ai rosie
PDF
Turing wwii
PDF
Turing nucleotidecryptology
PDF
Ward e 177_final
PDF
Tu nancy 177_final_small
PDF
Microsoft word blogs-rozalin rabieian hrs177
PDF
Madrigal j 177_final
PDF
Lai g 177_final
PDF
Huang s 117_final
PDF
Goodrich d 177_final
PDF
Davis spenser 177_final
Turing nucleotidecryptology
Jen-Ling Nieh Blog compilation
Lee s 177_final
Jung e 177_final
Eiesenhardt l 177_final
Borowski hnrs 177 final blog compilation
Hnrs 177 midterm ppt
Turing fibonacci numbers
Xia j 177_final
Turing ai rosie
Turing wwii
Turing nucleotidecryptology
Ward e 177_final
Tu nancy 177_final_small
Microsoft word blogs-rozalin rabieian hrs177
Madrigal j 177_final
Lai g 177_final
Huang s 117_final
Goodrich d 177_final
Davis spenser 177_final

Recently uploaded (20)

PDF
Spectral efficient network and resource selection model in 5G networks
PDF
Review of recent advances in non-invasive hemoglobin estimation
PDF
Dropbox Q2 2025 Financial Results & Investor Presentation
PPTX
Programs and apps: productivity, graphics, security and other tools
PPTX
Cloud computing and distributed systems.
PDF
Building Integrated photovoltaic BIPV_UPV.pdf
PDF
Mobile App Security Testing_ A Comprehensive Guide.pdf
PDF
Peak of Data & AI Encore- AI for Metadata and Smarter Workflows
PDF
Agricultural_Statistics_at_a_Glance_2022_0.pdf
PDF
7 ChatGPT Prompts to Help You Define Your Ideal Customer Profile.pdf
DOCX
The AUB Centre for AI in Media Proposal.docx
PDF
MIND Revenue Release Quarter 2 2025 Press Release
PDF
Encapsulation theory and applications.pdf
PPTX
VMware vSphere Foundation How to Sell Presentation-Ver1.4-2-14-2024.pptx
PDF
TokAI - TikTok AI Agent : The First AI Application That Analyzes 10,000+ Vira...
PDF
KodekX | Application Modernization Development
PDF
Advanced methodologies resolving dimensionality complications for autism neur...
PDF
Per capita expenditure prediction using model stacking based on satellite ima...
PPTX
ACSFv1EN-58255 AWS Academy Cloud Security Foundations.pptx
PPTX
Digital-Transformation-Roadmap-for-Companies.pptx
Spectral efficient network and resource selection model in 5G networks
Review of recent advances in non-invasive hemoglobin estimation
Dropbox Q2 2025 Financial Results & Investor Presentation
Programs and apps: productivity, graphics, security and other tools
Cloud computing and distributed systems.
Building Integrated photovoltaic BIPV_UPV.pdf
Mobile App Security Testing_ A Comprehensive Guide.pdf
Peak of Data & AI Encore- AI for Metadata and Smarter Workflows
Agricultural_Statistics_at_a_Glance_2022_0.pdf
7 ChatGPT Prompts to Help You Define Your Ideal Customer Profile.pdf
The AUB Centre for AI in Media Proposal.docx
MIND Revenue Release Quarter 2 2025 Press Release
Encapsulation theory and applications.pdf
VMware vSphere Foundation How to Sell Presentation-Ver1.4-2-14-2024.pptx
TokAI - TikTok AI Agent : The First AI Application That Analyzes 10,000+ Vira...
KodekX | Application Modernization Development
Advanced methodologies resolving dimensionality complications for autism neur...
Per capita expenditure prediction using model stacking based on satellite ima...
ACSFv1EN-58255 AWS Academy Cloud Security Foundations.pptx
Digital-Transformation-Roadmap-for-Companies.pptx

Jeremy p 5570_b_midterm

  • 1. Jeremy Peterson MFA Design + Technology SuperFlock ART/SCI 5570B Applied Research Prof. Victoria Vesna Parsons/New School 11/1/2011
  • 2. Abstract “Emergence refers to revealing, appearing, or ‘making vis- My question: What are the emergent 3 dimensional ible’ an event, object, or the outcome of a process. In an forms created by the outer boundaries of the swarm art context, emergence also encompasses novelty, sur- shape; and how can we use the behavior of flocking to prise, spontaneity, agency, even creativity itself.” generate these forms and create these responsive and dynamic forms? Design is always in search of new visual forms and inter- actions that science and technology enable us to see. The impetus for this project comes from a desire to explore the creation of emergent forms and gain a deeper under- standing of systems based on natural phenomena. Hu- mans tend to fear what they don’t understand and it is the role of the designer and artist to rationalise and recontex- tualize these moments. I’m interested in large flocks of animals where the result- ing swarm can resemble one emergent but solid shape shifting entity that can be described as a superorganism. This form is constantly in a state of flux and it is not pos- sible to grasp its dimensions with the naked eye. Now that we can simulate flocking behavior with some accuracy using computers it becomes possible to model and study the emergent behaviors that occur in this system. The ability to quantify the data that results in swarms enables artists to work with flocking behavior as a generative pro- cess that creates emergent forms.
  • 3. Concept / Topic The collective behavior of the swarm creates what is The plan on how to engage with this idea comes in three called a superorganism, which is an organism consisting phases. The first to develop a system to map the forms; of many organisms. My concept is to model the exterior this will be done in Processing or OpenFrameworks where forms that swarms create and put a ‘skin’ around it in behavioral libraries already exist that can be leveraged. order to make a superorganism that is visible and to give The second phase is to iterate and create a comparative the user an opportunity to view and interact with it. study of forms by playing with the rules that create each emergent form. Flocks can be programmed to exhibit be- 3 main rules inform all of the outcomes in flocking behav- haviors tied to resource gathering, predator avoidance, or ior and they are: species specific flocking behavior. The final step is to cre- ate an interactive product that reacts dynamically to user Separation stimulus. This will be the most challenging, but ultimately Alignment the most rewarding phase. Cohesion “You need to move with the same speed and direction as your neighbors, you need to avoid hitting them and you need to stay close,” Sabine Hauert, MIT Flocking behavior is also interesting because of it’s high rate of adaptability to it’s environment. The simple rules that it follows allow for a cohesive form to be retained even when individual agents are interrupted. This results in a very solid, yet totally dynamic emergent superorgan- ism.
  • 4. Context & Precedence screenshot from ‘Boids’ - Craig Reynolds (1986) “Generative art usually involves poeisis, which suggests ics, VR, Games, Robotics, Aerospace, Education, AI, Art, that it should reveal the world in ways that nature can’t – Biology, Physics, Emergent behavior, search optimization hence technology seems a possible, but not necessarily & visualization techniques. unique, vehicle to achieve this aim.” The most recent and relevant example to this project I Art, Emergence, and the Computational Sublime found is from 2010 where Corrie Van Sice at NYU created Jon McCormack and Alan Dorin a 3D printed sculpture by simulating the movement of a flock over time in a digital environment. Her impetus for Any computer modeling done in this project will have a the project is: “I am interested in using the algorithm as shared lineage with Craig Reynolds original brilliant pro- a tool for generating form, as if it were a brush or blade gram entitled ‘Boids’ In 1986 Reynolds devised the boids- leaving traces of itself on an object” algorithm, based on a model of the interactions in flocks, herds or schools of animals. The magic of the boids algo- There is a long history of art and science collaborating rithm is that complex overall patterns emerge from simple to create new forms enabled by new technology. A great Ernst Haeckel (1860’s) rules describing their interactions. example is biologist/artist Ernst Haeckel in the 1800’s; who’s study of microscopic radiolarian forms was used as There have been many other computational models of inspiration and sometimes almost exact reproduction by group motion/ swarm behavior created since 1986, and the designer Rene Binet who developed these forms into as Reynolds himself lists on his website, they’ve been designs who’s application ranged from patterns to archi- used in Computer Animation, Robotics, Interactive Graph- tecture. Corrie Van Sice (2010)
  • 5. Project Proposal ( Phase I ) example sketch from video source: Begin by figuring out the basic modeling of the superorganism’s form in Processing or OpenFrameworks. This is a technical exercise and is done to understand what kind of parameters to take into consideration when moving forward with creating additional forms. Alternately the data could also be captured using a 3D scanning camera and a live swarm. ( this might be possible to do using fish or possibly insects )
  • 6. Project Proposal ( Phase II ) - Create a study of comparative forms in superorganisms formed by flocking behavior. - Create and iterate the resulting forms by working with the parameters of each and altering their behavior to specific species of animals. - Iterate on the forms further by introducing new variables such as predators & food sources behavior to achieve a wide variety of results.
  • 7. Project Proposal ( Phase III ) Dynamic and reactive form that is constantly animated while retaining cohesion. Find a way to model the behavior in real time for an audience to interact with. This might start out as an interactive installation. (screen/projector based installation with the audience interacting with a projected image ) The ultimate goal would be to create a reactive physical object for an installation.
  • 8. Conclusion Creating a superorganism from the swarm and animating By modeling these forms we can understand them. By it will create a memorable but perplexing experience for making them interactive we can take even more of the the viewer and allow them to see and understand a little mystery from them and create emergent interactive art. bit about the world as seen through an unexpected lens. This project helps make the unknowable and invisible into something that can be seen and understood. The audience is invited to experience this new form in order to better understand the phenomena of flocking be- havior. This also introduces people to the ideas of swarm intelligence, super organisms, and emergence. The super- organism is not controlled by one entity but by the collec- tive ‘intelligence’ of the entire swarm. It is a form created by reaction. This intelligence is visible, it reacts to stimu- lus and can problem solve to find resources and avoid danger. The viewer is confronted with a paradox of an or- ganism who’s intelligence is clearly visible but not central- ized and who’s form is never static or exactly repeating.
  • 9. R EF ERE N C E S Corrie Van Sice http://itp.nyu.edu/~cvs245/Blog/?p=456 Craig Reynolds & Boids http://www.red3d.com/cwr/boids/ Rene Binet http://www.johncoulthart.com/feuilleton/2010/09/18/ esquisses-decoratives-by-rene-binet/ Ernst Heinrich Philipp August Haeckel http://en.wikipedia.org/wiki/Ernst_Haeckel Art, Emergence, and the Computational Sublime Jon McCormack and Alan Dorin http://citeseerx.ist.psu.edu/viewdoc/ summary?doi=10.1.1.16.6640 Superorganism http://en.wikipedia.org/wiki/Superorganism