創(chuàng)造力與人工智能的概念整合研究(英文版)/德古意特認(rèn)知語(yǔ)言學(xué)應(yīng)用叢書(shū)
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叢書(shū)名:德古意特認(rèn)知語(yǔ)言學(xué)應(yīng)用叢書(shū)
- 作者:[丹] 弗蘭西斯科·卡馬拉·佩雷拉 著
- 出版時(shí)間:2018/5/1
- ISBN:9787544650113
- 出 版 社:上海外語(yǔ)教育出版社
- 中圖法分類:TP18
- 頁(yè)碼:253
- 紙張:膠版紙
- 版次:1
- 開(kāi)本:16開(kāi)
《創(chuàng)造力與人工智能的概念整合研究(英文版)/德古意特認(rèn)知語(yǔ)言學(xué)應(yīng)用叢書(shū)》從概念整合理論的視角,解析了創(chuàng)造力與人工智能,探討了創(chuàng)造力的過(guò)程、理論與表征,以及計(jì)算實(shí)現(xiàn)的各個(gè)方面,包括組合、完善和擴(kuò)展等。
1 Introduction
Motivations
Overview
Contributions
Structure
2 Creativity
1 Creativity Theories
1.1 Divergent Production
1.2 Bisociation
1.2.1 Humor
1.2.2 Science
1.2.3 Arts
1.3 The Systems Model
1.4 Boden's Taxonomies
1.5 Others
1.6 Synthesis
2 Computational Creativity
2.1 Two Accounts fcr Characterizing Creativity
2.1.1 Characterizing creativity in AI
2.1.2 Creativity assessment
2.2 Creative Systems
2.2.1 What is a creative system?
2.2.2 Some systems and models
3 Working with Concepts
1 What Is a Concept?
2 Building Concepts
2.1 Ccncept Formation
2.2 Concept Invention
3 Mixing Concepts
3.1 Conceptual Combination
3.2 Conceptual Blending
3.2.1 The Framework
3.2.2 Some criticisms
4 Metaphor and Analogy
4.1 Structure Mapping Engine
4.2 Conceptual Scaffolding and Sapper
4.3 Others
4 A Model of Concept Invention
1 A Creative General Problem Solver
2 Description of the Model
3 Discussion
5 Divago
1 Overview of the Architecture
2 Knowledge Base
3 Mapper
4 Blender
5 Factory
6 Constraints
6.1 Integration
6.2 Topology
6.3 Pattern Completion
6.4 Maximization/Intensification of Vital Relations
6.5 Unpacking
6.6 Web
6.7 Relevance
7 Elaboration
8 Divago as a Creative System
6 Experiments
1 The Boat-House
2 The Horse-Bird
2.1 Evaluating the Optimality Pressures
2.2 Finding the Pegasus
3 Noun-Noun Combinations
3.1 Tuning
3.2 Free Generation
3.3 Comparison to
4 The Creature Generation Experiment
4.1 Tuning
4.2 Free Generation
5 The Established Blending Examples
5.1 Experiments with Isolated Principles
5.2 Experiments with Combination of Principles
5.3 Some Considerations
6 Discussion
7 Conclusions and Future Directions
A The Effect of Input Knowledge
B Established Examples of Conceptual Blending
C Programming the Frames
1 Syntax and Overview
2 Programming of the Frames
3 Examples
D Instances in the House-Boat Experiment
E Experiments, Databases and Other Documents
Notes
Bibliography
Index