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Alan Rodríguez Carrillo

Alan Rodríguez Carrillo

México Distrito Federal, MX

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00 - Presentation System Image
00 - Presentation System Image
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Swarm Geo Encoded System by Alan Rodríguez Carrillo

Swarm intelligence (SI) is the collective behavior of decentralized, self-organized systems, natural or artificial. The concept is employed in work on artificial intelligence. The expression was introduced by Gerardo Beni and Jing Wang in 1989, in the context of cellular robotic systems.

SI systems consist typically of a population of simple agents or boids interacting locally with one another and with their environment. The inspiration often comes from nature, especially biological systems. The agents follow very simple rules, and although there is no centralized control structure dictating how individual agents should behave, local, and to a certain degree random, interactions between such agents lead to the emergence of "intelligent" global behavior, unknown to the individual agents. Examples in natural systems of SI include ant colonies, bird flocking, animal herding, bacterial growth, fish schooling and microbial intelligence.

The application of swarm principles to robots is called swarm robotics, while 'swarm intelligence' refers to the more general set of algorithms. 'Swarm prediction' has been used in the context of forecasting problems.

The aim of this parametric and geo-rationalization project is to generate an intelligent system from agents in random position that will define the connections and geometric generations of the system, on the other hand, the final geometric representation was realized with a system of optimization of meshes based on geometric "cells"

 
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Status: Unbuilt
Location: Los Angeles, CA, US
My Role: Designer Architect

 
01 - Brief Explanation Board
01 - Brief Explanation Board
02 - Python Control + Generation Code by Alan Roo
02 - Python Control + Generation Code by Alan Roo
03 - A Initial Generator System Agents
03 - A Initial Generator System Agents
04 - B Agent´s Connections
04 - B Agent´s Connections
05 - C System Support
05 - C System Support
06 - D Self-Support Generation
06 - D Self-Support Generation
07 - E Self-Geometric Generation
07 - E Self-Geometric Generation
08 - Self Final Representation
08 - Self Final Representation
09 - Seed 01 [Time 500 ms = 500 Agents]
09 - Seed 01 [Time 500 ms = 500 Agents]
10 - Seed 02 [Time 500 ms = 500 Agents]
10 - Seed 02 [Time 500 ms = 500 Agents]
11 - Seed 03 [Time 500 ms = 500 Agents]
11 - Seed 03 [Time 500 ms = 500 Agents]
12 - Seed 04 [Time 500 ms = 500 Agents]
12 - Seed 04 [Time 500 ms = 500 Agents]
13 - Seed 05 [Time 500 ms = 500 Agents]
13 - Seed 05 [Time 500 ms = 500 Agents]
14 - Seed 06 [Time 500 ms = 500 Agents]
14 - Seed 06 [Time 500 ms = 500 Agents]
15 - Seed 07 [Time 500 ms = 500 Agents]
15 - Seed 07 [Time 500 ms = 500 Agents]
16 - Seed 08 [Time 500 ms = 500 Agents]
16 - Seed 08 [Time 500 ms = 500 Agents]
17 - Render A
17 - Render A
18 - Render B
18 - Render B
19 - Render C
19 - Render C
20 - Render D
20 - Render D
21 - Render E
21 - Render E
22 - Render F
22 - Render F
23 - Render G
23 - Render G
24 - Render H
24 - Render H
25 - Render I
25 - Render I