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Sunday, 18 December 2011

CITC II SLIME MOLD TEAM - MIDTERM REVIEW



Inspiration

The City and the City is a book about borders, about separation inside the body of the same city. It’s a book about the mental construction of a division between two cities that are actually the same one, but in the mind of the citizens are neatly separated and disconnected. It’s also a book about a murder, and due to that, about the complex thoughts connected with the search of the solution of this mystery of a death woman.



So, the two themes, which emerge from this book in terms of an inspiration for the search of a material behavior in nature,  are:
-           - The idea of the border itself, both as inside border and and outside one; the material logic associated with this are so the concepts of “membrane” and “skin”.
-           - The complexity of the mental processes involved, that reminds to the study of complex neuronal networks and of the computational capabilities involved in the material behavior.
In order to find a material that can fit these two different characteristics, the attention must be driven more on the biological world that to the one of the inert materials. What is needed it’s a system defined by an articulated membrane, that works as a filter, able to perform some sort of computation and of “mental” process. Moreover, this system must be complex enough to show varied and interesting patterns of behavior over time, and simple enough in order to be observed and understood.




Material

"Slime Mold or Mould is a broad term describing protists that use spores to reproduce. Slime molds were formerly classified as fungi, but are no longer considered part of this kingdom. Their common name refers to part of some of these organisms' life cycle, where they can appear ad gelatinous slime." (Wikipedia)


These simple organisms, composed either of a single multi-nucleated cell or of a aggregation of different unicellular individuals, are always defined by the outer membrane and, despite they simplicity and their small dimension, they show a complex range of behaviors, ranging from environment sensing, to patterns recognition and networks optimization.
Between this group, one organism appears as particularly interesting: the plasmodium Physarum Polycephalum, a true unicellular slime mold that grows in shady and moist areas, avoiding light and feeding of the bacteria presents in the surrounding. This organism can grow really fast (up to 1cm/hour) and span up to many square meters, without ever losing its own integrity as single cell.


Slime molds are no more than a bag of amoebae encased in a thin slime sheath, yet they manage to have various behaviors that are equal to those of animals who possess muscles and nerves with ganglia -- that is, simple brains.“ (John Tyler Bonner)


Behaviors

The movement of the Physarum is based on shuttle streaming, that means that is based on the movement of the protoplasm back and forth in the tube-like structure created in space. This pattern of movement is almost always regular, and is advocated as one of the main self-regulatory mechanisms of the organism itself.


The main characteristic of the behavior of the Physarum is its own ability of performing complex computations in different situations, always trying to find the most effective solution for the environmental problems that it faces. This ability allow the slime mold to sense the surrounding environment, creating and then optimizing complex networks of tubes in order to reach the different food sources, and even to balance between different nutrients in different times. Recent researches demonstrate that these simple organisms seem also able to some primitive form of memory, making previsions on the recurrence of regular events pattern over time.



Phisical Model

Magnetic fields have been chosen to try to reproduce the self-organization of the Physarum in a network of attractions and repulsions. The magnetic fields have been produced with self-made magnets, and the particle behavior of the slime have been approximated using iron filling. Unfortunately the experiment shows many differences from the processes that occur in the mold, mainly due to the omnidirectional diffusion of the magnetic fields, and for the directionality of the diffusion of the iron filling.



Digital Explorations

Between the different possible strategies to model the complex growth of the mold, we choose to use the agent-based modeling, both beacuse it seemed the best way to simulate the dynamics of the growth more than the patterns in themselves and beacuse it appeared as one of the most direct way to link this system of form production with some sort of behavior able to produce architectural systems.
A clear help in this choice come from the advices that we received form Jeff Jones, of the Institute of Unconventional Computing of Bristol, who is studyng this organism and the ways to reproduce it digitally for his PhD thesis.

“Furthermore, mastering the use of agent-based  models to implement pattern forming processes is a necessary step with a view to designing distributed problem solving devices.“ (Eric Bonabeau)

The first test have been carried out in the direction of the simulation of a random growth of the structural pattern fo the mold based on swarming logic, and in particular on the Craig Reynolds' boids rules, as they have been coded by Jose Sanchez.

Strenght:
 - Generally keeps the unity of the structure
 - Simulates quite well the random growth
 - Explores the whole space of search
Weakness:
 - Relies more on parameters tuning than on coherent simulation
 - It is complex to define optimisation functions
 - Computationally quite expensive 

The second script is still based on the same flocking algorithm, but improves that by adding a mesh able to keep track of the "chemoattractor" levels, that is a way of measuring the number of agents that have choos a location as part of their trail.

Stenght:
 - Stores the growth trail as chemoattractant level
 - Define a possible way to growth in 3 dimensions
 - High degree of flexibility
Weakness:
 - Still based on flocking simulation
 - Chemoattractant values are not influencing the movement of agents
 - Relies on scaling and limitation parameters

After this, in order to study the passage from random growth to network optimization, we added over the flocking simulation a physics engine, based on Toxiclibs, that we used to create a springs network between agents, that at certain points was then relaxed, causing the optimization of the network itself.

Strenght:
 - Approximates simple patterns of optimized networks
 - Allows the control of the process
Weakness:
 - Breaks the unity
 - Relaxation time too short to allow the emergence of complex patterns
 - Based on springs not on convergence criteria

Finally, in order to explore the generation on more complex patterns and to use the chemoattractor levels to dinamically influence the emergence of networks, we starte to look into the complex world of ant algorithms, especially regarding the formation of foraging patterns in army ants colonies. In this fundamental for us have been the book Swarm Intelligence by Eric Bonabeau, Marco Dorigo and Guy Theraulaz.

Strenght:
 - Records the chemoattractant trail and influences the movement of agents through it
 - Based on scientific test
 - Shows the emergence of complex optimized networks
Weakness
 - Growth limited to two directions
 - Relies on different optimisation system from slime mold
 - Computationally expensive


Conclusions / Perspectives

The research we carried out give us a good knowledge and helped us to create digital tools useful for the next phase, when these systems of breeding of architectural form will be redirected and applied to a real environment and to a real program, in order to foster the emergence of new ways of occuping the space with architecture.


Our will for the next phases of the development of an architectural proposal is not to use these complex biological systems just to optimize a structure digitally in order to then build it as an inert element. We thrive for the creation of a real living architecture, able to mantain a continuous exchange of matter and energy between itself and the environment, abble to modify itself and adapt to the external and internal condition.
More then this, we want to investigate the construction of a new relationship between man and environment, in which the architecture becomes the medium to build a negotiation between the parts, more than a war between the human kind and the natural forces.


CodesInTheClouds design studio - prof. Liss C Werner
Dessau Institute of Architecture
Slime Mold team : Lila Panahi Kazemi, Andrea Rossi







Sunday, 11 December 2011

SLIME MOLD CELLS - CLUSTERING_01


Basic algorithm written to simulate the aggregation of virtual "Slime Mold" (Physarum Polycephalum) cells into a complex cluster of growth. In red are the main cities around the project area, from which the single cells get generated, in green the abandoned mining site of the F60 (Lichterfeld) involved in the project.

Written in Processing using Plethora, Toxiclibs, ControlP5 and PeasyCam libraries.

CodesInTheClouds design studio - Dessau Institute of Architecture
Slime Mold team : Lila Panahi Kazemi, Andrea Rossi

Tuesday, 6 December 2011

LILYPAD FIRST TESTS

First tests with LilyPad, light sensor and servo motor.

video


CAD/logic course by Liss C Werner, DIA Dessau.
Synthetic Ornament team: Christine Baldwin, Hazel Cruz, Andrea Rossi

Sunday, 4 December 2011

DARE TO PARASITE EXPERIMAKING // OR HOW TO HIJACK A BUILDING

 Workshop held by Liss Werner at DIA Dessau 6-11/10/2011


Team: Liss Werner | Amanda Carvalho | Andrea Rossi | Alireza Rismanchian| Ali Farhan | Andrew Mogylnyi | Chelsea Scrogham | Christine Baldwin | Ekta Pandey | Elmira Alamdari | Farnaz Ad | Hazel Cruz | Kanin Manthanachart |Kate Albee | Lila Panahikazemi | Matteo Taramelli | Nikita Azarkhin | Sam Amirebrahimi | Tanya Zabavska | Urszula Edyko | Shyam Mehta

Digital develpment team: Ali Farhan, Lila Panahi, Andrea Rossi, Matteo Taramelli

ParasiteAn organism that grows, feeds, and is sheltered in/or on a host organism. Parasites are physically attached to their hosts, feeding off of the weakness of the host for its own benefit. It contributes nothing to the survival of the host; rather, relying on the health of the host for its own survival. (Wikipedia)

Parasitic ArchitectureParasitic architecture is the personal, informal, unplanned use of larger structure. The structure cannot sustain its own existence, but must live off the energy of the host structure. Parasitic architecture cannot stand alone, but must be supported by the host as a temporary addition. The parasite must fully understand its host to exploit the host’s weakness.


Analysis Logic: Entire Building (script by Matteo Taramelli)


The entire building is analyzed through a point cloud, that is displaced by the repulsion power of the different function of the different parts of the building itself.



The points coming from the previous displacement are then reorganized through a proximity algorithm, that shows the different densities of the whole space.


The combination of different parameters in different moments of the day create complex grid morphologies, that can be evaluated and interpolated to get the points for the room detailing phase.


Analysis Logic: Foyer (script by Andrea Rossi)

 
The starting point are the dimensions of the room itself, that define the borders of the space of search of the algorithm.
The starting volume is filled with a point cloud, that starts as a regular field that gets deformed in the next stages.

 The amount of movement detected in the room generates a series of vectors that displace randomly the initial point grid, creating a more complex and articulated organization.

 The flexibility parameter, starting from the random modifications given by the movement, selects the amount of random and regular points to be used in the next stages: more flexibility generates a more random grid.

 The activity displaces the point through repulsion, creating bigger spaces in the grid.

The interaction level is used to generate a proximity grid from the previous points, increasing the connections between them when the interaction level itself increases.

In order to define in space the field generated by the combination of the previous parameters, a series of sections in different directions is taken through the proximity diagram.

 
 The resulting points are combined into two dimensional diagrams through a meta-ball algorithm, in order to define different areas of potential for the parameters.

The resulting meta-ball diagram is then subdivided into points, in order to generate the final mesh through iso-surfacing technique.

The final mesh is the expression of the complex interaction of the different parameters. This complex shape becomes the base field for the generation of the parasite, creating in some way a “naked flesh” of the host building itself.

The resulting geometry shows an high level of articulation in space, defining a complex field of interaction of the different parameters. Its smooth appearence and its profound inflections show a “living” nature of the building itself, overcoming a static conception of the building environment to integrate concepts as field, behavior and complexity. This final geometry creates a complex environment in which the parasite could grow, reading, and processing in real time the different characteristics of the different parts of the building.



Material Tests (by Andrea Rossi & Matteo Taramelli)








Built Structure (Yes... We had some logistic problems in the construction!!!)









Thanks to all!!!