Showing posts with label maysam ghaffari. Show all posts
Showing posts with label maysam ghaffari. Show all posts

Saturday, July 31, 2010

Cognitive City

The concept of Cognitive City is close to human mind. It can ignore the gravity and flow in any direction; it has the ability to adapt to varied responses. It has the capabilities of perception, intelligence, learning, and many others that define numerous properties of synthetic intelligence. This city can sense the environment and behaves effectively according to input form sensors. This artificial intelligence, have several autonomous (agent) entity which observe and acts upon an environment. The agents function based on the simple rules but together organized very complex mechanism in order to accomplish difficulties. In order to have a description of what organizes the city, one must study behavior itself. This type of research is closely tied to the performance of data along a neural network (data structure) which is function as a blue print for agents. In addition, by evaluating behavioral responses to different stimuli such as light, movement, colors, tones, textures, the agent can understand and trigger the next agent.

In this step by step process, I construct a 3D dynamic continuous surface which built layer by layer from the interactions of each simple module, which are monotonous by themselves. In this context, this city generated form a continuous habitable space by removing distinction between horizontal and vertical elements such as walls, floors and staircase. It is completely open and accessible space where you’re inside and outside.

Agents Quantification:

Nearest point to create family of points

Bounding box to hold metadata (data structure)

Average Distance of each point projected on the field

Amplifying y points base on the average distance

Component aggregation base on the various module

Source Book:

Society of Mind by Marvin Minsky which is about cognitive science and dose not reference physical brain structure. Instead it is a collection of ideas about how the mind and thinking work on the conceptual level. A core tenet of Minsky's philosophy is that "minds are what brains do". The society of mind theory views the human mind and any other naturally evolved cognitive systems as a vast society of individually simple processes known as agents. These processes are the fundamental thinking entities from which minds are built, and together produce the many abilities we attribute to minds. The great power in viewing a mind as a society of agents, as opposed to the consequence of some basic principle or some simple formal system, is that different agents can be based on different types of processes with different purposes, ways of representing knowledge, and methods for producing results.










Thursday, June 24, 2010

Baking color in Grasshopper

Hi guys,

I have got several useful components for backing colors and materials. You can found them under Maysam folder in DropBox. Also there are other vb.net scripts for creating fractal and recursive function.

Here you can find more practical component.

http://www.giuliopiacentino.com/grasshopper-tools/

Maysam Ghaffari - Self-organization








Super model city offer an alternative approach to rethinking about cities, how they are formed and how they function. It is an integrated whole system which can exchange energy, matter and information. They are self organize and can evaluate themselves and learn from its experiences in order to develop a better conceptualization of organizational life.

In this context, city is defined as interwoven layers of communication and coordination between micro and macro level. Energy and information flow among the different elements and develop a number of dynamic processes which affect the cities’ organizational behavior. This system involves inputs, processing and outputs of energy and information which leads to the further development of self-organization.

Designing a city begins with investigation of certain question in individual relationship between components and data structure. This dynamic network structure deals with the production, distribution and consumption of data in a particular system. This interwoven data structure helps us to understand and analyze the city behavioral patterns both quantitatively and qualitatively for prediction of future behavior.