先前與預測（Forecasting）相關的研究雖多，卻多在企管、金融或經濟等領域，且對其心理機制無所著墨。在此研究中，我們提出了三種在預測中可能的心理表徵形式，分別是：以時間為獨變項的方程式、只參考變項前一刻數值的遞迴方程式，以及將所有曾出現過的變項數值作為獨變項的自迴歸方程式，試圖探討何者適合作為預測模型的心理表徵。本研究共招募了268位政大學生作為實驗參與者，透過三個在電腦上施測的行為實驗，我們逐一檢驗了這三種表徵的可能性，最終提出，預測函式的心理表徵應為遞迴方程式。在實驗一中，我們探討了預測作業的難易度與預測函式結構複雜度的關係，檢視其關聯性是否與函式學習作業中發現的現象一致，並指出預測作業的難易度可能與函式中所使用的參數個數無關，排除了以時間為獨變項的方程式作為預測心理表徵唯一的可能性。接下來，我們於實驗二探究了人們是否敏感於變項前後嘗試次之間的關聯性並藉此進行預測，發現一旦前後刺激之間的關聯性被破壞，人們在預測作業中的表現便大幅受到影響，表示前後嘗試次之間的關聯性是預測作業中的重要因素。最後，透過實驗三的設計，我們比較了兩個設計情境之間的差異，顯示人們在進行預測時主要是參考前一個刺激的數值，這讓我們得以確定預測的心理表徵形式為遞迴方程式。在重新檢視了預測和函式學習的異同之後，我們認為預測是函式學習的特例，是過去函式學習中未曾探究過的函式類型。

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