The Computational Creativity Curriculum
计算创造力课程
基本信息
- 批准号:0749184
- 负责人:
- 金额:$ 4.96万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2008
- 资助国家:美国
- 起止时间:2008-04-01 至 2009-09-30
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
This project will explore the utility of "computational creativity" as an organizing theme for interdisciplinary curricula in computer science, media arts, and cognitive science. The project develops and evaluates an approach to computer science education that challenges the students to develop computational creativity. A computational creativity system is a computational system that simulates the cognitive processes involved in human creativity, or that implements an algorithm that meets the criteria for creativity even if it is not cognitively based. The goal of this project is to develop, in joint work among computer science and media arts faculty and undergraduate students, computational creativity systems that are useful in real artistic practice. These systems will be extended and used in computer science, media arts, and interdisciplinary courses. The curriculum will integrate research and teaching while drawing new populations of potentially creative and diverse students into the study of computer science.This project is experimental because it seeks to integrate and cross-fertilize curricula in two and possibly more disciplines in a novel way. The payoff for success may be high, however, because computational creativity could potentially integrate -- and draw students and ideas from -- several disciplines beyond computer science and media arts, including, for example, cognitive psychology, education, and philosophy of mind. The project will also explore ways in which the curriculum could be targeted to groups traditionally underrepresented in computer science, and expanded to include students from community colleges with significant populations of students from underrepresented groups. Software (including source code) and curricular materials will be disseminated on the internet for application at other institutions.
这个项目将探索“计算创造力”作为计算机科学、媒体艺术和认知科学的跨学科课程的组织主题的效用。该项目开发和评估了一种计算机科学教育方法,挑战学生发展计算创造力。计算创造力系统是一种计算系统,它模拟人类创造力所涉及的认知过程,或者实现一种满足创造力标准的算法,即使它不是基于认知的。这个项目的目标是在计算机科学和媒体艺术学院和本科生的共同努力下,开发出在实际艺术实践中有用的计算创意系统。这些系统将被扩展并用于计算机科学、媒体艺术和跨学科课程。该课程将把研究和教学结合起来,同时吸引新的潜在创造性和多样化的学生加入到计算机科学的研究中来。这个项目是实验性的,因为它试图以一种新颖的方式整合和交叉培养两个甚至更多学科的课程。然而,成功的回报可能很高,因为计算创造力可能会整合--并从计算机科学和媒体艺术以外的几个学科吸引学生和想法--例如,包括认知心理学、教育学和心灵哲学。该项目还将探索如何将课程面向传统上在计算机科学中代表性不足的群体,并扩大到包括社区大学的学生,这些学生中有大量来自代表性不足的群体。软件(包括源代码)和课程材料将在互联网上传播,供其他机构应用。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Lee Spector其他文献
Expressive genetic programming: tutorial: 2012 genetic and evolutionary computation conference (GECCO-2012)
表达性遗传编程:教程:2012 年遗传与进化计算会议 (GECCO-2012)
- DOI:
- 发表时间:
2012 - 期刊:
- 影响因子:0
- 作者:
Lee Spector - 通讯作者:
Lee Spector
Objectives Are All You Need: Solving Deceptive Problems Without Explicit Diversity Maintenance
您所需要的就是目标:在没有明确的多样性维护的情况下解决欺骗性问题
- DOI:
- 发表时间:
2023 - 期刊:
- 影响因子:0
- 作者:
Ryan Boldi;Lijie Ding;Lee Spector - 通讯作者:
Lee Spector
Relationships between parent selection methods, looping constructs, and success rate in genetic programming
- DOI:
10.1007/s10710-021-09417-5 - 发表时间:
2021-09-30 - 期刊:
- 影响因子:0.900
- 作者:
Anil Kumar Saini;Lee Spector - 通讯作者:
Lee Spector
Pareto-Optimal Learning from Preferences with Hidden Context
从具有隐藏上下文的偏好中进行帕累托最优学习
- DOI:
- 发表时间:
2024 - 期刊:
- 影响因子:0
- 作者:
Ryan Boldi;Lijie Ding;Lee Spector;S. Niekum - 通讯作者:
S. Niekum
Introduction to the peer commentary special section on “On the Mapping of Genotype to Phenotype in Evolutionary Algorithms” by Peter A. Whigham, Grant Dick, and James Maclaurin
- DOI:
10.1007/s10710-017-9287-y - 发表时间:
2017-02-23 - 期刊:
- 影响因子:0.900
- 作者:
Lee Spector - 通讯作者:
Lee Spector
Lee Spector的其他文献
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{{ truncateString('Lee Spector', 18)}}的其他基金
RI: Small: RUI: Synthesis of Robust Artificial Systems by Adaptive Genetic Programming
RI:小型:RUI:通过自适应遗传编程合成稳健的人工系统
- 批准号:
1617087 - 财政年份:2016
- 资助金额:
$ 4.96万 - 项目类别:
Standard Grant
BSF:2012144:Human-Competitive Evolutionary Computation
BSF:2012144:人类竞争进化计算
- 批准号:
1331283 - 财政年份:2013
- 资助金额:
$ 4.96万 - 项目类别:
Standard Grant
UBM-Institutional-Collaborative Research: Four College Biomath Consortium
UBM-机构合作研究:四所大学生物数学联盟
- 批准号:
1129139 - 财政年份:2011
- 资助金额:
$ 4.96万 - 项目类别:
Standard Grant
RI: Small: RUI: Evolution of Robustly Intelligent Computational Systems
RI:小型:RUI:鲁棒智能计算系统的演变
- 批准号:
1017817 - 财政年份:2010
- 资助金额:
$ 4.96万 - 项目类别:
Standard Grant
Open-Ended Evolution in Visually Rich Virtual Worlds: Implementation, Analysis, and Use in Undergraduate Education
视觉丰富的虚拟世界中的开放式进化:本科教育中的实施、分析和使用
- 批准号:
0308540 - 财政年份:2003
- 资助金额:
$ 4.96万 - 项目类别:
Standard Grant
MRI/RUI: Acquisition of Instrumentation for Research in Genetic Programming, Quantum Computation, and Distributed Systems
MRI/RUI:采购用于基因编程、量子计算和分布式系统研究的仪器
- 批准号:
0216344 - 财政年份:2002
- 资助金额:
$ 4.96万 - 项目类别:
Standard Grant
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