目錄
前言/001
上篇 常思常新的AI與哲學(xué)的關(guān)系問題
第一章 相關(guān)概念辨析及AI與哲學(xué)關(guān)系問題爭論概說
第一節(jié) 計算哲學(xué)、AI的哲學(xué)和哲學(xué)的AI/003
第二節(jié) “AI即哲學(xué)”的爭論與接管論/005
第三節(jié) “哲學(xué)需要AI就像AI需要哲學(xué)”與通用認知架構(gòu)/010
第四節(jié) AI的定義問題與“可憐的科學(xué)家- 可憐的哲學(xué)家”/013
第二章 AI基礎(chǔ)理論建設(shè)中的哲學(xué)
第一節(jié) AI基礎(chǔ)理論建設(shè)中的哲學(xué)邏輯的身影/019
第二節(jié) “AI中的哲學(xué)與理論”/023
第三節(jié) 從AI專家的智能觀建構(gòu)看哲學(xué)在AI中的作用/030
第四節(jié) 《劍橋AI手冊》和有關(guān)教科書論哲學(xué)在AI基礎(chǔ)理論建設(shè)中的作用/036
第五節(jié) 哲學(xué)家對AI基礎(chǔ)理論建設(shè)的哲學(xué)思考/046
第三章 從AI的技術(shù)建構(gòu)工作看哲學(xué)對AI的作用
第一節(jié) AI的自主體研究及其哲學(xué)基礎(chǔ)/060
第二節(jié) 表征與本體論/068
第三節(jié) 不完全性定理與AI對哲學(xué)的依賴性/074
第四節(jié) AI在科學(xué)- 前科學(xué)系譜中的地位問題/076
第五節(jié) 機器學(xué)習(xí)與心理測量學(xué)的AI/081
第四章 從框架問題研究看哲學(xué)在AI中的作用
第一節(jié) 框架問題的重要性、不同理解與精神實質(zhì)/089
第二節(jié) 框架問題的AI和哲學(xué)掘進/100
第三節(jié) “操作性形而上學(xué)”與框架問題的進一步探原及哲學(xué)在其解決中的作用/109
第五章 從AI的未來學(xué)研究看哲學(xué)對AI的意義
第一節(jié) 超級智能及其哲學(xué)問題/116
第二節(jié) 進化、加速回報定律與“靈性機時代”/125
第三節(jié) 智能奇點、智能大爆炸與“后奇點”世界中的人類/135
第四節(jié) 從奇點悖論、超級智能的爭論看哲學(xué)對AI的意義/151
第六章 AI對哲學(xué)的意義與兩者互利互惠關(guān)系的內(nèi)在機制
第一節(jié) 哲學(xué)是計算革命的最大受益者/158
第二節(jié) 哲學(xué)與AI的復(fù)雜關(guān)系及其認知條件/166
第三節(jié) 哲學(xué)是AI的一個支柱及其內(nèi)在機制/170
中篇 智能觀、工程本體論、意向性與自主體建模問題
第七章 “圖靈測試”新解、自然智能與智能觀的相關(guān)問題
第一節(jié) “圖靈測試”及其智能觀：新解、批評與新的形態(tài)/178
第二節(jié) 計算主義對圖靈問題的化解與對新智能觀的闡發(fā)/197
第三節(jié) “中文屋論證”及其引發(fā)的智能觀論戰(zhàn)/199
第四節(jié) 復(fù)雜性視域下的智能“多—一”“同—異”問題/206
第五節(jié) 自然計算與智能觀的進一步思考/212
第八章 工程本體論：AI對人的本體論構(gòu)架的解析與建構(gòu)
第一節(jié) 本體論的多元化發(fā)展與工程本體論的誕生/237
第二節(jié) AI本體論的緣起、結(jié)構(gòu)與本質(zhì)特點/243
第三節(jié) AI本體論個例考釋/246
第四節(jié) 本體論多元發(fā)展的必然性與意義/250
第九章 新計算主義與意向性建模的祛魅及嘗試
第一節(jié) 經(jīng)典計算主義的問題與新計算主義的興起/254
第二節(jié) 計算概念的重新闡釋/256
第三節(jié) 智能具有意向性的機制與AI對意向性的建模/260
第四節(jié) 計算主義的“寬”與“窄”/264
第十章 意向性“建筑術(shù)”及其對AI瓶頸問題的進一步消解
第一節(jié) 麥金論人類意向性的結(jié)構(gòu)、運作機理與實質(zhì)/270
第二節(jié) 問題診斷與“生物學(xué)轉(zhuǎn)向”/274
第三節(jié) 模型方法與心靈建筑術(shù)/276
第十一章 關(guān)于意向性的BDI 模型與AI建模的方向問題
第一節(jié) 基本概念分析與人類心智解剖/284
第二節(jié) 概念框架與關(guān)于意向性的BDI 模型/291
第三節(jié) AI建模的基礎(chǔ)：是民間心理學(xué)還是發(fā)展著的心靈哲學(xué)？/293
第四節(jié) AI建模的若干心靈哲學(xué)思考/298
第十二章 自主體解析、建模及其哲學(xué)問題
第一節(jié) 自主體在古今哲學(xué)中的遭遇/307
第二節(jié) AI的自然自主體解剖與理論建模/324
第三節(jié) 典型的自主體形式及其理論基礎(chǔ)/329
第四節(jié) 關(guān)于自主體建�；�礎(chǔ)的思考/337
第十三章 面對AI基礎(chǔ)理論難題的聯(lián)結(jié)主義及其創(chuàng)新發(fā)展
第一節(jié) 聯(lián)結(jié)主義及其計算主義實質(zhì)/341
第二節(jié) 聯(lián)結(jié)主義的AI哲學(xué)探討與爭論/344
第三節(jié) 聯(lián)結(jié)主義面臨的“意向性缺失難題”及其化解/347
第四節(jié) 基于反饋型神經(jīng)網(wǎng)絡(luò)和人工感知機的分析/353
第五節(jié) 面對難題的創(chuàng)新嘗試：基于進化新解的人腦逆向工程/357
第六節(jié) 面對難題的創(chuàng)新發(fā)展嘗試：“類人腦AI”與“新AI”/360
第十四章 自然語言機器處理中的語義性問題及其化解
第一節(jié) 自然語言機器處理研究的一般進程與語義性缺失問題/378
第二節(jié) 本體論語義學(xué)對語義缺失根源的探討/385
第三節(jié) 機器實現(xiàn)語義加工的嘗試性探討/389
第四節(jié) 意義與啟示/392
下篇 計算創(chuàng)造力與人工智能的“實至名歸”
第十五章 作為AI終極前沿的計算創(chuàng)造力的崛起與意義
第一節(jié) 計算創(chuàng)造力的興起與概念化/400
第二節(jié) 計算創(chuàng)造力的理解與相關(guān)基本問題/415
第三節(jié) 計算創(chuàng)造力研究的意義及其與AI的關(guān)系/431
第十六章 計算創(chuàng)造力的前提性問題及其哲學(xué)審視
第一節(jié) 創(chuàng)新觀祛魅與重構(gòu)：AI創(chuàng)造力建模的首要前提/437
第二節(jié) 懷疑論挑戰(zhàn)與創(chuàng)造力機器建模的可能性問題/446
第三節(jié) 創(chuàng)造力的計算化說明與通向機器實現(xiàn)之“隧道”的打通/454
第四節(jié) 原型實例：創(chuàng)造力計算建模的范例問題/475
第十七章 計算創(chuàng)造力的“怎么都行”的方法論
第一節(jié) 計算主義的堅持和發(fā)展/483
第二節(jié) 非人類中心主義的方法論/494
第三節(jié) 語料庫語言學(xué)方法、統(tǒng)計方法及其與工程本體論的融合/504
第四節(jié) 計算創(chuàng)造力的突現(xiàn)論方案/513
第五節(jié) 情境主義方法論/526
第六節(jié) 基于解釋的學(xué)習(xí)—計算創(chuàng)造力方案/540
第七節(jié) 計算創(chuàng)造力的“過程—成果”方案及其他/546
第十八章 AI的創(chuàng)造力建模嘗試與典型模型考察
第一節(jié) 創(chuàng)造力的形式化理論及其模型/564
第二節(jié) 創(chuàng)新系統(tǒng)框架及其發(fā)展/576
第三節(jié) 創(chuàng)造力的單一過程、方面和機制的建模/588
第四節(jié) 創(chuàng)新系統(tǒng)的放大與創(chuàng)造力建模的延展性方案/634
第十九章 計算創(chuàng)造力的焦點- 熱點問題與重大課題
第一節(jié) 懷疑論問題的進一步思考/682
第二節(jié) 作為計算創(chuàng)造力研究的“牛鼻子”的軟件工程/696
第三節(jié) 活算法：計算創(chuàng)造力從理想到現(xiàn)實的樞紐/707
第四節(jié) 計算創(chuàng)造力的框架、機制與領(lǐng)域通用性- 專門性問題/719
第五節(jié) 計算創(chuàng)造力研究中的美學(xué)、自我學(xué)、倫理學(xué)問題及其他/733
第二十章 創(chuàng)造力支持工具、協(xié)同創(chuàng)造力與群體創(chuàng)造力
第一節(jié) 創(chuàng)造力支持工具/756
第二節(jié) 人機協(xié)同創(chuàng)新/765
第三節(jié) 共創(chuàng)造力與群體創(chuàng)造力/775
第二十一章 文學(xué)藝術(shù)創(chuàng)造力的工程學(xué)建模實踐
第一節(jié) 文學(xué)藝術(shù)創(chuàng)造力建模與機器實現(xiàn)的一般問題與進程/804
第二節(jié) 音樂創(chuàng)造力機器建模與音樂作品生成系統(tǒng)/806
第三節(jié) 繪畫創(chuàng)造力的機器實現(xiàn)/820
第四節(jié) 綜合性藝術(shù)創(chuàng)造力的計算實現(xiàn)/827
第五節(jié) 文學(xué)創(chuàng)作軟件的開發(fā)與故事生成系統(tǒng)/831
第二十二章 科學(xué)創(chuàng)造力的計算建模與機器實現(xiàn)
第一節(jié) 科學(xué)創(chuàng)造力計算實現(xiàn)研究的一般進程和基本理論問題/856
第二節(jié) 人類專家無法匹敵的預(yù)測DNA 和RNA 結(jié)構(gòu)的軟件工程/864
第三節(jié) 類比推理與盧瑟�？茖W(xué)發(fā)現(xiàn)過程的重演/868
第四節(jié) 科學(xué)定律的圖解表征與HUYGENS 系統(tǒng)/874
第五節(jié) 科學(xué)發(fā)現(xiàn)的計算程序與能完成定量經(jīng)驗發(fā)現(xiàn)的BACON/877
第六節(jié) 創(chuàng)造力機器實現(xiàn)的形式探索與概念創(chuàng)新系統(tǒng)/884
第二十三章 其他形式創(chuàng)造力的計算建模與機器實現(xiàn)
第一節(jié) 刑偵創(chuàng)造力與“犯罪計算意外發(fā)現(xiàn)系統(tǒng)”/901
第二節(jié) 決策中的計算創(chuàng)造力系統(tǒng)/906
第三節(jié) “計算游戲創(chuàng)造力”的理論研究與機器實現(xiàn)嘗試/909
第四節(jié) 語言創(chuàng)造力的計算建模與機器實現(xiàn)/921
第五節(jié) 其他形式創(chuàng)造力的計算建模與機器實現(xiàn)嘗試/933
第二十四章 計算創(chuàng)造力的評價問題研究
第一節(jié) 計算創(chuàng)造力評價研究的緣起、基本問題與主要走向/942
第二節(jié) 計算創(chuàng)造力的本體論地位問題與“事后評價”論/946
第三節(jié) 計算創(chuàng)造力評價的內(nèi)在性、創(chuàng)造力三腳架與圖解式形式體系/949
第四節(jié) “不公平”問題與“新手構(gòu)架”/959
第五節(jié) “經(jīng)驗基礎(chǔ)”問題、價值問題與基于交互設(shè)計的價值論評估方案/966
第六節(jié) “系統(tǒng)思維”框架下的創(chuàng)新、評價與責(zé)任及其問題/985
第七節(jié) 計算創(chuàng)造力的元評價問題/987
第八節(jié) 創(chuàng)新階段的譜系問題與過濾評價系統(tǒng)的建構(gòu)/992
第九節(jié) 專門領(lǐng)域的計算創(chuàng)造力的評價問題/995
結(jié)語 人工智能、計算創(chuàng)造力與哲學(xué)創(chuàng)造力研究的
若干問題/1013
參考文獻/1034
索引/1087
后記/1099
PREFACE/001
PART I THE EVER-RENEWING RELATIONSHIP BETWEEN AI AND PHILOSOPHY
CHAPTER 1 CONCEPTS CLARIFICATION AND AN OVERVIEW OF THE PHILOSOPHY- AIRELATIONSHIP DEBATE
1.1 Computational Philosophy, the Philosophy of AI, and Philosophical AI/003
1.2 The Debate on “AIis Philosophy” and the “Takeover Theory”/005
1.3 “Philosophy Needs AIas much as AINeeds Philosophy”and General Cognitive Architecture/010
1.4 The Definition of AIand “The Poor Scientist - The Poor Philosopher”/013
CHAPTER 2 PHILOSOPHY IN THE CONSTRUCTION OF AI’S FOUNDATIONAL THEORIES
2.1 The Presence of Philosophical Logic in the Construction of AI’s Foundational Theories/019
2.2 “Philosophy and Theory in AI”/023
2.3 Philosophical Contributions to AIfrom Experts’ Construction of Intelligent Views/030
2.4 The Cambridge Handbook of Artificial Intelligence and Relevant Textbooks on the Role of Philosophy in the Construction of AI’s Foundational Theories/036
2.5 Philosophers’ Philosophical Reflections on the Construction of AI’s Foundational Theories/046
CHAPTER 3 THE ROLE OF PHILOSOPHY IN AIFROM THE PERSPECTIVE OF TECHNICAL CONSTRUCTION
3.1 The Study of AIAgents and Its Philosophical Foundations/060
3.2 Representation and Ontology/068
3.3 The Incompleteness Theorem and AI’s Dependence on Philosophy/074
3.4 The Status of AIin the Science-Pre-Science Genealogy/076
3.5 Machine Learning and AIin Psychometric Assessment/081
CHAPTER 4 THE ROLE OF PHILOSOPHY IN AIFROM THE STUDY OF THE FRAME PROBLEM
4.1 The Importance, Diverse Interpretations, and Essence of the Frame Problem/089
4.2 The Philosophical and AIExploration of the Frame Problem/100
4.3 “Operative Metaphysics” and Further Exploration of the Frame Problem and the Role of Philosophy in Its Solution/109
CHAPTER 5 THE SIGNIFICANCE OF PHILOSOPHY TO AIFROM THE STUDY OF AIFUTUROLOGY
5.1 Superintelligence and Its Philosophical Issues/116
5.2 Evolution, the Law of Accelerating Returns, and “the Age of Spiritual Machines”/125
5.3 The Intelligent Singularity, the Intelligence Explosion, and Humanity in the“Post-Singularity” World/135
5.4 The Significance of Philosophy for AIfrom the Paradox of the Singularity and the Debate on Superintelligence/151
CHAPTER 6 AI’S IMPACT ON PHILOSOPHY AND THE INTRINSIC MECHANISMS OF THEIR SYMBIOTIC RELATIONSHIP
6.1 Philosophy as the Greatest Beneficiary of the Computational Revolution/158
6.2 The Complex Relationship Between Philosophy and AIand Its Cognitive Conditions/166
6.3 Philosophy as a Pillar of AIand Its Intrinsic Mechanism/170
PART II INTELLIGENT VIEWS, ENGINEERING ONTOLOGY,INTENTIONALITY, AND AGENT-BASED MODELING
CHAPTER 7 NEW INTERPRETATIONS OF THE “TURING TEST”,NATURAL INTELLIGENCE, AND ISSUES RELATED TO INTELLIGENT VIEWS
7.1 The “Turing Test” and Its Intelligent View: New Interpretations, Criticisms,and Emerging Paradigms/178
7.2 Computationalism’s Resolution of the Turing Problem and the Elucidation of a New Intelligent View/197
7.3 The “Chinese Room Argument” and the Resulting Debate on Intelligent Views/199
7.4 The “Many-One” and “Similarity-Difference” Issues in Intelligence from a Complexity Perspective/206
7.5 Further Reflections on Natural Computing and Intelligent Views/212
CHAPTER 8 ENGINEERING ONTOLOGIES: AI’S ANALYSIS AND CONSTRUCTION OF HUMAN ONTOLOGICAL FRAMEWORK
8.1 The Diversified Development of Ontologies and the Birth of Engineering Ontologies/237
8.2 The Origin, Structure, and Characteristics of AIOntology/243
8.3 Case Studies and Critical Analysis of AIOntology/246
8.4 The Necessity and Implications of the Pluralistic Development of Ontology/250
CHAPTER 9 NEW COMPUTATIONALISM AND THE DEMYSTIFICATION AND ATTEMPTS OF MODELING INTENTIONALITY
9.1 The Problems of Classical Computationalism and the Rise of New Computationalism/254
9.2 The Reinterpretation of the Concept of Computation/256
9.3 The Mechanism that Intelligence Has Intentionality and the Modeling of Intentionality by AI/260
9.4 The “Wide” vs. “Narrow” in Computationalism/264
CHAPTER 10 THE “ARCHITECTURE OF INTENTIONALITY” AND ITS RESOLUTION OF BOTTLENECK ISSUES IN AI
10.1 McGinn’s Discussion on the Structure, Operative Mechanism, and Nature of Human Intentionality/270
10.2 Problem Diagnosis and the “Biological Turn”/274
10.3 The Models Method and the Architecture of the Mind/276
CHAPTER 11 THE “BDI MODEL” OF INTENTIONALITY AND THE DIRECTION OF AIMODELING
11.1 Analysis of Basic Concepts and the Anatomy of the Human Mind/284
11.2 Conceptual Framework and the BDI Model of Intentionality/291
11.3 The Foundation of AIModeling: Folk Psychology or Evolving Philosophy of Mind?/293
11.4 Reflections on AIModeling from the Perspective of Philosophy of the Mind/298
CHAPTER 12 ANALYSIS AND MODELING OF AGENTS AND ITS PHILOSOPHICAL PROBLEMS
12.1 The Concept of Agents in Ancient and Modern Philosophy/307
12.2 Analysis and Theoretical Modeling of Natural AIAgents/324
12.3 Typical Forms of Agents and Their Theoretical Foundations/329
12.4 Reflections on the Foundation of Agent Modeling/337
CHAPTER 13 CONNECTIONISM IN THE FACE OF AI’S FOUNDATIONAL THEORETICAL CHALLENGES AND ITS INNOVATIVE DEVELOPMENT
13.1 Connectionism and Its Computationalist Essence/341
13.2 Connectionist Discussion and Debates on AI/344
13.3 The Problem of Absence of Intentionality in Connectionism and Its Resolution/347
13.4 Analysis Based on Feedback Neural Networks and Artificial Perceptrons/353
13.5 Innovative Attempts in the Face of Challenges: Reverse-Engineering the Brain Based on Evolutionary Interpretations/357
13.6 Innovative Attempts in the Face of Challenges: “Human-Like AI” and“New AI”/360
CHAPTER 14 THE SEMANTICS OF NATURAL LANGUAGE PROCESSING AND ITS RESOLUTION
14.1 How Natural Language Processing Works and Semantic Deficits in it/378
14.2 Discussions on the Causes of Semantic Deficits in Ontological Semantics/385
14.3 Preliminary Exploration of Machine Semantic Processing/389
14.4 Significance and Implications/392
PART III COMPUTATIONAL CREATIVITY AND “APTLY NAMED”ARTIFICIAL INTELLIGENCE
CHAPTER 15 THE RISE AND IMPLICATIONS OF COMPUTATIONAL CREATIVITY AS THE ULTIMATE FRONTIER OF AI
15.1 The Emergence and Conceptualization of Computational Creativity/400
15.2 Understanding Computational Creativity and the Basics/415
15.3 The Significance of Computational Creativity Research and Its Connection to AI/431
CHAPTER 16 PRELIMINARY QUESTIONS OF COMPUTATIONAL CREATIVITY AND ITS PHILOSOPHICAL EXAMINATION
16.1 Demystification and Reconstruction of the View of Creativity: The Primary Premise for AIModeling for Creativity/437
16.2 Challenges from the Skeptics and the Possibility of Creativity Modeling/446
16.3 Computational Explanations of Creativity and Pathways to Machine Realization/454
16.4 Prototype Instances: Paradigm Problems in Creative Computational Modeling/475
CHAPTER 17 AN “ANYTHING GOES” METHODOLOGY OF COMPUTATIONAL CREATIVITY
17.1 The Persistence and Development of Computationalism/483
17.2 The Methodology of Non-Anthropocentrism/494
17.3 Integration of Corpus Linguistics, Statistical Methods, and Engineering Ontologies/504
17.4 Emergentist Approaches to Computational Creativity/513
17.5 Situationist Methodologies/526
17.6 Explanation-Based Learning-Computational Creativity Scheme/540
17.7 The “Process-Outcome” Scheme of Computational Creativity and Others/546
CHAPTER 18 CREATIVITY MODELING ATTEMPT AND TYPICAL MODEL INVESTIGATION IN AI
18.1 Formal Theories of Creativity and Their Models/564
18.2 The Framework of Creativity Systems and Their Development/576
18.3 Modeling of Singular Process, Aspects, and Mechanism of Creativity/588
18.4 Schemes for Creativity Systems Amplification and Creativity Modeling Extension/634
CHAPTER 19 KEY ISSUES AND MAJOR TOPICS IN COMPUTATIONAL CREATIVITY
19.1 Further Reflections on Skeptical Issues/682
19.2 Software Engineering as the Key to Computational Creativity Research/696
19.3 Living Algorithms: The Hub from Ideal to Reality in Computational Creativity/707
19.4 Framework, Mechanisms, and Domain-General or Domain-Specific Issues in Computational Creativity/719
19.5 Aesthetics, Selfology, Ethics, and Other Issues in Computational Creativity Research/733
CHAPTER 20 CREATIVITY SUPPORT TOOLS, COLLABORATIVE CREATIVITY, AND GROUP CREATIVITY
20.1 Creativity Support Tools/756
20.2 Human-Machine Collaborative Creativity/765
20.3 Co-Creativity and Group Creativity/775
CHAPTER 21 ENGINEERING MODELING PRACTICES OF LITERARY AND ARTISTIC CREATIVITY
21.1 General Issues and Process in the Modeling and Machine Realization of Literary and Artistic Creativity/804
21.2 Machine Modeling of Musical Creativity and Music Composition Generative Systems/806
21.3 Machine Realization of Painting Creativity/820
21.4 Computational Realization of Integrated Artistic Creativity/827
21.5 Development of Literary Creation Software and Story Generation Systems/831
CHAPTER 22 COMPUTATIONAL MODELING AND MACHINE REALIZATION OF SCIENTIFIC CREATIVITY
22.1 The General Process and Basic Theoretical Issues in the Computational Realization of Scientific Creativity/856
22.2 Software Engineering that Surpasses Human Experts in Predicting DNA and RNA Structures/864
22.3 Analogical Reasoning and the Reenactment of Rutherford’s Scientific Discovery Process/868
22.4 Pictorial Representation of Scientific Laws and the HUYGENS System/874
22.5 Computational Programs for Scientific Discovery and BACON for Quantitative Empirical Discovery/877
22.6 Formal Exploration and Conceptual Innovation Systems for the Machine Realization of Creativity/884
CHAPTER 23 COMPUTATIONAL MODELING AND MACHINE REALIZATION OF OTHER FORMS OF CREATIVITY
23.1 The Creativity of Criminal Investigation and “Crime Computing Accidental Discovery System”/901
23.2 Computational Creativity Systems in Decision-Making/906
23.3 Theoretical Research and Machine Realization of “Video Game Creativity”/909
23.4 Computational Modeling and Machine Realization of Language Creativity/921
23.5 Computational Modeling and Machine Realization of Other Forms of Creativity/933
CHAPTER 24 RESEARCH ON THE EVALUATION OF COMPUTATIONAL CREATIVITY
24.1 The Origin, Basic Issues, and Main Trends of Research on the Evaluation of Computational Creativity/942
24.2 The Ontological Status of Computational Creativity and the “Post Hoc Evaluation” Theory/946
24.3 The Intrinsic Nature of Computational Creativity Evaluation, the“Creativity Tripod”, and Pictorial Formal Systems/949
24.4 The “Unfairness” Issue and the “Novice Framework”/959
24.5 The “Empirical Basis”, Value, and Interaction-Based Value Assessment Schemes/966
24.6 Innovation, Evaluation, and Responsibility in the “Systems Thinking”Framework and Their Problems/985
24.7 The Meta-Evaluation of Computational Creativity/987
24.8 The Genealogy of Innovation Stages and the Construction of Filtering Evaluation Systems/992
24.9 Evaluation of Computational Creativity in Specialized Fields/995
CONCLUSION: SEVERAL ISSUES IN THE RESEARCH OF ARTIFICIAL INTELLIGENCE, COMPUTATIONAL CREATIVITY, AND PHILOSOPHICAL CREATIVITY/1013
BIBLIOGRAPHY/1034
INDEX/1087
POSTSCRIPT/1099