![\"\"](\"https:\/\/www.keris-studio.fr\/blog\/wp-content\/ABITA-EXPLOR-3D.gif\")
<\/a><\/p>\nHistorical background<\/h2>\n
The first version of Abita+ dates back to 2001. Concepts are, in the computer world as in other domains, concepts that are discovered and forgotten, then rediscovered in the belief that they are innovative or original. At the dawn of the 20th century, to explore architectural solutions, there were three ways. The first was to mimic analogical tools and methods. This is the virtual drawing board such as AutoCad for example. The intellectual process is the same as for hand drawing, it is only the ease of corrections, re- editing and duplication that make it a very productive tool. The second path, less known and somewhat forgotten, is that of declarative modeling. In this method, the idea is to start with the expected result and work backwards through the inductive chain. For example, I declare that in the morning I want to have sunshine in my room and automatically a set of solutions in a set of constraints will indicate how this is possible. The main issue with this method at the time was the semantic aspect. It was difficult to choose descriptors, to have the right vocabulary, to solve what the human brain is capable of doing so well, to discriminate, sort, and prioritize information so that nuance is not complexity.<\/p>\n
<\/p>\n
For example, if I say I want a big living room, will my mental image be similar to my neighbor\u2019s or not? The concept of semantic descriptors leading to graphical solutions has recently resurfaced with extraordinary force after a long silence. By the time we write these lines, the power of these tools will have surpassed our wildest dreams. The third category in which we present what we present in this article is that of generative tools (sometimes called genetic). Many solutions are proposed quickly, whereas the human brain would take time to elaborate on just one. The decision is then made in the optimization of solutions through successive refinement until the most satisfactory solution is found. Contrary to some quick assumptions or comments, it is not a matter of finding the optimal solution, which would see all cursors pushed to their maximum, but of responding to a balance of options that prioritizes certain parameters over others.<\/p>\n
Abita+ version 1<\/h2>\n
Abita +\u2019s first version was created between 2000 and 2001. The concept was submitted to a national innovation competition, which we won, and which provided us with a substantial financial budget to develop the application. The principle is as follows: we take a promoter\u2019s investment brief and propose a large number of feasibility that correspond to his brief. See also https:\/\/www.keris-studio.fr\/blog\/?p=12016<\/a><\/p>\n The input data are as follows<\/p>\n This is summarized as follows<\/p>\n\n