建築師在設計流程中對決策節點所建構起來的決策樹進行搜索時，需要在衆多決策選項的搜索空間中找到能夠滿足評估函數的較佳方案。矛盾的是，建築師和專業顧問需要在設計決策確定、有足夠資訊的前提下才能進行有效的評估，但是由於建築設計初期的資訊匱乏導致了建築設計流程中無法進行有效評估。評估資訊無法及時回饋，通常只淪為資料呈現以至於無法實質性地幫助建築師在設計過程中做出決策並造成設計決策無法帶入到下一設計階段的尷尬局面。近年來，在建築資訊建模（Building Information Modeling）深入研究的背景下，資訊技術的提升為解決這種窘境帶來了契機。
本研究提出一個基於衍生式建模（Generative Modeling）與蒙地卡羅樹搜索（Monte Carlo Tree Search）整合而成的架構平臺作爲進行設計決策搜索的“儀表盤”（Dashboard）。在這個架構下，蒙地卡羅樹搜索可以在決策搜索空間較大的決策樹中，在建築設計初期資訊匱乏情況下，通過對未作出決策的決策點進行隨機取樣並評估，並將評估資訊回饋給建築師作爲參考以幫助其瞭解設計趨勢，最終找到滿足評估函數的較佳設計方案。文章通過兩個案例：設計初期對建築量體的配置和建築立面單元幕墻設計來模擬這一過程並進行探討，以證明儀表盤可以幫助建築師做出設計決策，提高溝通與設計效率。

Architects need to find a better solution that can meet the evaluation function in the search space of many design decision options while they are searching the decision tree which constructed by decision nodes in the architectural design process. Paradoxically, architects and professional consultants can only carry out effective evaluations when the design decisions are confirmed and there is sufficient information. However, due to the lack of information in the early stages of architectural design, effective evaluation cannot be carried out in the architectural design process. The evaluation information cannot be feedback in time and is usually used for presentation of data. In this case, the evaluation information cannot substantially help the architect to make design decisions. In recent years, under the background of research on Building Information Modeling, the improvement of information technology has brought an opportunity to solve this problem.
This study proposed a framework platform based on generative modeling and Monte Carlo Tree Search as a dashboard for design decisions searching. Under this framework, Monte Carlo tree search can randomly sample and evaluated on the decision node which have not made decisions in the decision tree with a large searching space, in the case of lack of information in early design stage. It will feedback the information to architects as reference to help them control the design trend, and finally find a better design that meet the evaluation function. This article takes two cases as example, an early design of building massing configuration and building facade unit curtain wall design, to simulate this process and makes discussions to prove that the Dashboard should help architects make design decisions and improve the efficiency of communication and design.

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