本研究所嘗試討論的是空間狀態與其躍遷流變的機制，並以Cellular Automata(簡稱CA)作為為基本的實驗模型，主要內容分成下列幾個部分:

觀念與假說
不論是在連續的古典力學條件下，還是在跳躍式的量子力學假設中，所有的形象與物質，都只是個體在某特定時空下的一種狀態呈現。
狀態，是人為指認下的產物。任何單一的形象與狀態，都不能代表或等同於某個個體。相反地，任何個體，卻有可能在不同條件下以各種樣貌呈現。

實驗與分析
實驗以三維CA作為基本的運算模型，嘗試藉由控制應用規則與初始狀態條件的方式，實驗在特定的規則機制下，關於規則指令與流變效能之間的模糊聯繫。在三維的實驗條件下，根據觀察與分析，我們初步釐清了幾纇關於規則指令(空間基因)與其所引致之效能(空間物種性狀)間的對應關係。而這樣的基礎知識，可望為後續空間狀態躍遷機制的相關研究，提供一些有效的參考與認識。

討論與結論
計畫性創造，是人類長久以來引以為傲的思維習慣，卻也是背負最久最為沉重的包袱。大自然並不事先做好計畫，所有的現象，都是一種適應的結果。
我們真正應該要掌握的，其實是動態適應的規則機制，而不是解剖性的靜態知識。

This research is about the phases of space and the mechanism of the spatial transitions.
It can be divided into 3 sections as below:

Conception and the Hypothesis
Phases are the specific presents of beings in the specific space-time conditions.
Any single phase can not be equal to the being , but every being can have different appearance in different external condition.

Experiments
We employed the 3-dimension Cellular Automata (CA) as our computation model and tried to study the relationship between the dominant rules and the performance of spatial transitions in specific rule-definition mechanism.
THe knowledge we produced can be used as the basic reference and initial understanding for advanced study on rule-transition mechanisms of spatial phases.

Discussion and Conclusion
Creativity by plans is not only the habit and pride , but also the heavist burden for us human beings. Nature doesn make a plan in advance. Everthing survived is the outcome of the adaptation.
And we can say that it is not the static knowledge but the dynamic rule-transition mechanism of adaptation which we should have in hand.

[1]Bandini, S. & Pavesi, G.(2002).imulation of Vegetable Population Dynamics Based on Cellular Automata?Cellular Automata.Springer.
[2]Bonabeau, E., Dorigo, M., Theraulaz, G.(1999). Swarm Intelligence:From Natural to Artificial Systems. New York,NY:Oxford University Press.
[3]Dawkins, R.(2002). "Son of Moore's Law." In The Next Fifty Years:Science in the First Half of the Twenty-first Century, edited by Brockman,J.. New York,NY:Vintage.
[4]Ford, K.M., Hayes, P.J.(1998). "On Computational Wings:Rethinking the Goals of Artificial Intelligence" Scientific American Special Issue.Exploring Intelligence. 9 4(1998):78-83
[5]Johnson, S.(2001). Emergence:The Connected Lives of Ants, Brains, Cities, and Software. New York,NY:Touchstone.
[6]Nagel, K.(2002).ellular Automata Models for Transportation Applications?Cellular Automata.Springer.
[7]Tegmark M.(2003). "Parallel Universes." Scientific American Vol.288 5(2003):30-41
[8]Wolfram, S.(2002). A New Kind of Science. Wolfram Media, Inc.
[9]Austad, S.N.(1997). Why We Age: What Science is Discovering about the Body Journey through Life. New York,NY:John Wiley & Sons.洪蘭譯(1998). 揭開老化之謎. 商周出版.
[10]Edelman, G. E.(1992). Bright Air, Brilliant Fire: In the Matter of the Mind. Basic Books. 張立雪譯(2000). 先有心靈?還是先有物質? 牛頓出版.
[11]Falconer, D.S.& Mackay, T.F.C.(1996). Introduction to Quantitative Genetics. Addison-Wesley. 李淵百譯(2002). 計量遺傳學入門. 國立編譯館.
[12]Jacob, F.(1997). La Souris, La Mouche et LHomme. Editions Odile Jacob. 賴慧芸譯(2000). 蒼蠅，老鼠，人. 究竟出版.
[13]Stewart, I.(1998). Life's Other Secret: The New Mathematics of the Living World. New York,NY:John Wiley & Sons.蔡信行譯(2000). 生物世界的數學遊戲. 天下遠見出版.
[14]Vogel, S.(1998). Cat's Paws and Catapults: mechanical Worlds of Nature and People. W.W.Norton & Company, Inc.楊永鈺譯(1999). 貓掌與彈弓:當自然設計遇上人類科技. 先覺出版.
[15]Wolpert, L.(1991). The Triumph of the Embryo. New York,NY:Oxford University Press. 周業仁譯(1998). 胚胎大勝利. 天下遠見出版.
[16]崔允文編(1996).時間生物學,北京:北京科學技術出版.
[17]林峰田,林士弘,李萬凱,孫志鴻,林建元,李培芬(2002).c格自動機於土地利用變遷模擬之結合機制?中華地理資訊協會學術研討會學術論文集.