Intelligent musical instrument systems
Identifieur interne : 000504 ( Main/Exploration ); précédent : 000503; suivant : 000505Intelligent musical instrument systems
Auteurs : P. W. Farrett [États-Unis]Source :
- Computers and Mathematics with Applications [ 0898-1221 ] ; 1996.
English descriptors
- Teeft :
- Active objects, Artificial intelligence, Balaban, Basic philosophy, Cambridge university press, Chaining mechanism, Chord skeleton view, Cognitive, Cognitive modelling, Compositional, Computer, Computer music, Computer music association, Computer music journal, Computer science, Computer system, Deductive system, Ebcioglu, Efficient logic programming language, Expert system, Farrett, First workshop, Formal language, Formal logic, Formal representation, Gestalt psychology, Harvard university press, Hierarchical view, Icmc, Imis, Imis research, Inarticulate composers, Inference engine, Information processing, Information science, Instrument systems, Intelligent assistant, Intelligent backtracking, Intelligent instrument system, Knowledge acquisition, Knowledge base, Knowledge base engineering, Knowledge engineer, Knowledge engineering, Knowledge representation, Laske, Logical system, Mathematical logic, Menlo park, Modal logic, Modelling, Music composition, Music intelligence, Music knowledge representation, Music logic, Music structures, Music theory, Musical composition, Musical concepts, Musical context, Musical facts, Musical information, Musical knowledge, Musical knowledge base, Musical knowledge representation, Musical objects, Musical structures, Musical system, Natural language, Natural language processing, Other approaches, Other aspects, Performance model, Problem goal rules, Procedural representations, Reasoning systems, Representational issue, Second workshop, Sonic events, Such systems, Technical report, Technical report computer science dept, Temporal knowledge, Tonal music, Transition network, User interface.
Abstract
Abstract: This paper explores issues related to the application of computer knowledge engineering techniques to musical information, particularly composition. Familiarity with these areas will aid a knowledge engineer in constructing a system for manipulating musical concepts. Knowledge base engineering is examined within the framework provided by Mathews in which his description of an intelligent system for music exploration is considered. Mathews refers to his system as an Intelligent Instrument System. The criteria for an intelligent instrument system is interdisciplinary, and suggest the applicability of artificial intelligence research. This framework is discussed in the context of: a general schema for a musical knowledge base; a brief survey of the field; a discussion, which addresses the feasibility of such systems.
Url:
DOI: 10.1016/0898-1221(96)00085-5
Affiliations:
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Le document en format XML
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<term>Computer music journal</term>
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<term>Intelligent assistant</term>
<term>Intelligent backtracking</term>
<term>Intelligent instrument system</term>
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<term>Music logic</term>
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<term>Music theory</term>
<term>Musical composition</term>
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<term>Representational issue</term>
<term>Second workshop</term>
<term>Sonic events</term>
<term>Such systems</term>
<term>Technical report</term>
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<front><div type="abstract" xml:lang="en">Abstract: This paper explores issues related to the application of computer knowledge engineering techniques to musical information, particularly composition. Familiarity with these areas will aid a knowledge engineer in constructing a system for manipulating musical concepts. Knowledge base engineering is examined within the framework provided by Mathews in which his description of an intelligent system for music exploration is considered. Mathews refers to his system as an Intelligent Instrument System. The criteria for an intelligent instrument system is interdisciplinary, and suggest the applicability of artificial intelligence research. This framework is discussed in the context of: a general schema for a musical knowledge base; a brief survey of the field; a discussion, which addresses the feasibility of such systems.</div>
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