#24 Salon DaNS

#extradirty
Cosmic Funnies
wallacepolsom
Peter Solarz

祝日 / Permanent Vacation

JVL
styofa doing anything

shark vs the universe

PR's Tumblrdome

@theartofmadeline
Three Goblin Art
Not today Justin
occasionally subtle

Origami Around

oozey mess
Xuebing Du

if i look back, i am lost
Show & Tell

roma★

★

seen from Ethiopia
seen from United States
seen from United States

seen from United States
seen from United States

seen from Malaysia
seen from Malaysia

seen from Indonesia
seen from Italy
seen from United States

seen from United States
seen from United Kingdom
seen from Ecuador
seen from United States

seen from Malaysia
seen from United States

seen from Ecuador
seen from Germany

seen from United States

seen from United States
@dciricnetworks
#24 Salon DaNS
#24 Salon DaNS
Network Science [urban computing and advanced computational design methods]: Grand Paris
© Dragana Ciric, unit [d]
path generation and branching
Source: ©dciric, 2024
Software: Grasshopper
movement path generation: urban scenario definition, tree-search structure based on established network connectivities, displaying values for relevant parameters (e.g., proximity, landmark, heritage, etc.), decision-making differs with each path increment with respect to defined scenario and path parameter
Source: ©dciric, 2024
Software: Grasshopper
Source: ©dciric, 2024
Software: Grasshopper
Network incremental growth based on proximity and tree-search structure; branching propagates outwards from the centre (starting point or state) through clusters of states "occupied" with each iteration or growth step.
Source: ©dciric, 2024
Software: Grasshopper
movement path generation _scenarios 4, 5, and 6 (branching occurs at the decision-making step 8 :: the agent takes 4. the south-west route (→ Notre Dame → Rive Gauche → Musée d'Orsay → Invalides), 5. the north-east route (→ RER B line → Aéroport de Paris-Charles de Gaulle), or 6. continues along the M1 axis and south at Austerlitz (→ Gare de Austerlitz → Bibliothèque François-Mitterrand).
Software: Grasshopper. Source: Dragana Ciric, all rights reserved, 2024
movement path generation: path branching in key steps, lead by overall policy, specific terminal objective (e.g. final destination), and multiple decision-making parameters (distance, coverage area, landmarks, thematic scenarios, external parameters, etc.).
video shows 5 possible scenarios
© dragana ciric, unit [d] (author, all rights reserved)
software: grasshopper
movement path generation :: scenarios (branching occurs at the decision-making steps 5 and 8)
dciric, all rights reserved
grasshopper
movement path generation _scenario 4 (branching occurs at the decision-making step 8 :: the agent takes to RER B north route)
dciric, all rights reserved
Grasshopper 2023-2024
Movement path generation_scenario 1 (first branching occurs at the step 5 and the second one at the step 9)_scenario follows the path of the line M1, collecting major landmarks along this route as well as the opposite river bank (along the RER C route, or M10-M12 alternatively), connected through the Ile de la Cite (RER B and M4).
dciric, all rights reserved, programmed in Grasshopper (2023, refined in 2024)
Formal representation of dynamic change of data values and relationships between the major parametric and generative categories
Source: ©dciric, 2024, all rights reserved
Software: Grasshopper
© dragana ciric, unit [d] (author, all rights reserved)
software: grasshopper
next move search operation from multiple origin points (for multiple agents) with distance analysis