Major: CAIRA - A Creative Artificially-Intuitive and Reasoning Agent in the Context of Ensemble Music Improvisation

专业：CAIRA - 合奏音乐即兴创作背景下的创造性人工直觉和推理代理

• 批准号: 1002851
• 负责人: Jonas Braasch
• 金额: $ 65万
• 依托单位: Rensselaer Polytechnic Institute
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-08-01 至 2014-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1002851&HistoricalAwards=false
• 关键词: Major; CAIRA; Creative; Artificially; Intuitive

The goal of this project is to engineer the Creative Artificially-Intuitive and Reasoning Agent CAIRA, an intelligent computer system designed for making decisions and producing creative work based on both reasoning and intuition ? the latter being the process of making a spontaneous decision when there is not sufficient time for reasoning. A network of humans and several CAIRA agents will be formed and studied to provide new understanding of learning and social interaction in dynamic environments where boundary conditions change over time and decisions have to be made within a given time interval. The project will use improvised avant-garde music to study the performance of the intelligent agent, but the outcome will be applicable to other time-based communication scenarios that require creative solutions and intelligent agents that can communicate naturally, as humans do. The machine listening abilities of CAIRA will be based on a music recognition system that simulates the human auditory periphery to perform an Auditory Scene Analysis (ASA), the process by which the auditory system extracts features such as pitch, timbre, and rhythm to organize sound into perceptually meaningful units. The simulation of cognitive processes will include a comprehensive cognitive calculus for reasoning and decision-making, and the system will also possess metareasoning, that is, an entity's ability to reflect upon its own reasoning. CAIRA's capacity for metareasoning will provide groundbreaking insight into the human willingness to systematically break rules and weigh the consequences in order to achieve a given goal, for example, to produce creative work. A machine correlate to human intuition will be another key component of CAIRA, and a major goal is to find out how different balances of reasoning and metareasoning on the one hand, and intuitive decisions, on the other hand, will lead to novel and captivating forms of creativity. Broader Impact: Based on a unique interdisciplinary approach between scientists and artists, and also engaging students from engineering and other fields in project-related courses, the project will help to better understand the process of artistic creation as a product of balancing different sources of creativity (e.g., rule-based reasoning approaches vs. intuitive decision-making). The general architecture of CAIRA will be useful for various musical applications, including automated composition systems and internet-based music performances with co-located ensembles. CAIRA will also provide an enhanced interaction with creative machines that will allow non-specialists and ability-impaired users to engage in expressive musical creation. Two examples include CAIRA's ability to automatically add musical texture or an accompaniment to a simple melody or to serve as a duet partner. Beyond this, the model will further our understanding of the human mind's ability to balance creative decisions based on spontaneity and immediate perception of an environment, to factor in environmental and social context, and to consider past training and learned stylistic rules in the creative process. This understanding will be applicable to similar complex problems, such as economic systems and semantic web services, as well as other problems where creative and timely solutions and/or natural human/computer communication are essential.

这个项目的目标是设计创造性的人工直觉和推理代理凯恩，这是一个智能计算机系统，旨在做出决策和产生创造性的工作，基于推理和直觉？后者是在没有足够的时间进行推理时做出自发决定的过程。将形成和研究一个由人类和几个CANA代理组成的网络，以提供对动态环境中学习和社会互动的新理解，在动态环境中，边界条件随着时间的推移而变化，并且必须在给定的时间间隔内做出决定。该项目将使用即兴的前卫音乐来研究智能代理的性能，但结果将适用于其他基于时间的通信场景，这些场景需要创造性的解决方案和智能代理，可以像人类一样自然交流。CAEA的机器收听能力将基于模拟人类听觉外周的音乐识别系统来执行听觉场景分析(ASA)，即听觉系统通过提取诸如音调、音色和节奏等特征来将声音组织成有感知意义的单元的过程。认知过程的模拟将包括用于推理和决策的综合认知演算，该系统还将具有元推理，即实体反思自身推理的能力。凯恩的元区域能力将为人们提供开创性的洞察，让我们了解人类为了实现特定目标而系统性地打破规则并权衡后果的意愿，例如，生产创造性工作。与人类直觉相关的机器将是CAEA的另一个关键组成部分，主要目标是找出一方面推理和元推理的不同平衡，以及另一方面直觉决策将如何导致新颖和迷人的创造力形式。更广泛的影响：基于科学家和艺术家之间独特的跨学科方法，并让工程学和其他领域的学生参与与项目相关的课程，该项目将有助于更好地理解艺术创作过程，将其作为平衡不同创造力来源的产品(例如，基于规则的推理方法与直觉决策方法)。凯纳的总体架构将适用于各种音乐应用，包括自动化作曲系统和基于互联网的音乐表演，乐团位于同一地点。凯纳还将提供与创意机器的增强互动，这将允许非专业人士和能力受损的用户从事富有表现力的音乐创作。两个例子包括凯纳能够自动为简单的旋律添加音乐纹理或伴奏，或者作为二重奏伙伴。除此之外，该模型将进一步加深我们对人类思维能力的理解，即人类思维有能力平衡基于自发性和对环境的即时感知做出的创造性决定，考虑环境和社会背景，并在创造过程中考虑过去的培训和学习的文体规则。这一理解将适用于类似的复杂问题，如经济系统和语义网服务，以及其他问题，在这些问题中，创造性和及时的解决办法和/或自然的人/计算机交流至关重要。