一、課程目標
本課程目標在於從大乘佛教哲學中的非單純實在論、非單純經驗論之認識論觀點，關照智慧、邏輯規則以及經驗成形之間的關係，同時比照在素樸實在論（時間空間為客觀實在框架）、素樸經驗論（暫時擱置經驗之前在條件），以及/或者在語意本體論框架下之當代人工智慧應用之觀點下，探討邏輯規則以及經驗成形之間的關係，以及「智慧」之可能性，或可能的詮釋方向。

二、課程內涵
（1）佛教認識論部分，我們從陳那的因明量論著手，藉由陳那在佛教認識論發展中承先啟後奠定佛教新因明的關鍵性貢獻，明瞭佛教認識論當中之主要問題意識。（2）理解當代認知科學研究之成果，理解知覺、意識以及自由意志相關的問題。（3）認識人工智慧領域幾個重要核心概念，例如符號型AI、類神經網路、機器學習、奇點、達特茅斯會議等；以及主要的哲學問題，包含人工智慧與自然智慧、圖靈測試、符號主義與連結主義、心物與心腦問題、強人工智慧vs.弱人工智慧等等。

1. Course Objectives
The goal of this course is to focus on the relationship between wisdom, logical rules and the formation of experience from the epistemological point of view of non-simple realism and non-simple empiricism in Mahayana Buddhist philosophy. Empiricism (temporarily setting aside the conditions before experience), and/or from the perspective of contemporary artificial intelligence applications within the framework of semantic ontology, explore the relationship between logical rules and the formation of experience, as well as the possibility of "wisdom", or possible directions of interpretation.

2. Course content
(1) In the part of Buddhist epistemology, we start from Chen Na’s theory of cause and effect, and through Chen Na’s key contribution in the development of Buddhist epistemology to establish a new cause and effect in Buddhism, we can understand the main problem consciousness in Buddhist epistemology. (2) Understand the results of contemporary cognitive science research and understand issues related to perception, consciousness and free will. (3) Understand several important core concepts in the field of artificial intelligence, such as symbolic AI, neural networks, machine learning, singularity, Dartmouth Conference, etc.; and major philosophical issues, including artificial intelligence and natural intelligence, Turing test, symbolism and connectionism, mind-matter and mind-brain issues, strong artificial intelligence vs. weak artificial intelligence, etc.

1. 服部正明（著），吳汝鈞（譯）。〈陳那之認識論〉收錄于《佛學研究方法論》下冊之〈維也納學派方法〉。臺北：臺灣學生書局，2006。
2. 三宅陽一郎、森川幸人（著），鄭佩嵐（譯）。《從人到人工智慧，破解AI革命的68個核心概念》。臺北：城邦文化事業，2018。
3. 鄭谷苑（編）。《窺探心智》。《科學人博學誌》2017年11月。

1. Hattori Masaaki (author), Wu Rujun (translation). "Chen Na's Epistemology" is included in "Methodology of the Vienna Circle" in the second volume of "Buddhist Research Methodology". Taipei: Taiwan Student Book Company, 2006.
2. Miyake Yoichiro, Morikawa Yukito (author), Zheng Peilan (translation). "From Humans to Artificial Intelligence, Cracking the 68 Core Concepts of the AI ​​Revolution". Taipei: City-State Cultural Affairs, 2018.
3. Zheng Guyuan (ed.). "Looking into the Mind". "Scientific People and Erudite Chronicles" November 2017.