Composing With Constraints
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Composing with Constraints
Author: Jorge Variego
language: en
Publisher: Oxford University Press
Release Date: 2021-07-13
Composing with Constraints: 100 Practical Exercises in Music Composition provides an innovative approach to the instruction of the craft of music composition based on tailored exercises to help students develop their creativity. When composition is condensed to a series of logical steps, it can then be taught and learned more efficiently. With this approach in mind, Jorge Variego offers a variety of practical exercises to help student composers and instructors to create tangible work plans with high expectations and successful outcomes. Each chapter starts with a brief note on terminology and general recommendations for the instructor. The first five chapters offer a variety of exercises that range from analysis and style imitation to the use of probabilities. The chapter about pre-compositional approaches offers original techniques that a student composer can implement in order to start a new work. Based on lateral thinking, the last section of the book fosters creative connections with other disciplines such as math, visual arts, and architectural acoustics. The one hundred exercises contain a unique set of guidelines and constraints that place students in a specific compositional framework. These compositional boundaries encourage students to produce creative work within a given structure. Using the methodologies in this book, students will be able to create their own outlines for their compositions, making intelligent and educated compositional choices that balance reasoning with intuition.
Composing with Constraints
Composing with Constraints: 100 Practical Exercises in Music Composition provides an innovative approach to the instruction of the craft of music composition based on tailored exercises to help students develop their creativity. When composition is condensed to a series of logical steps, it can then be taught and learned more efficiently. With this approach in mind, Jorge Variego offers a variety of practical exercises to help student composers and instructors to create tangible work plans with high expectations and successful outcomes. Each chapter starts with a brief note on terminology and general recommendations for the instructor. The first five chapters offer a variety of exercises that range from analysis and style imitation to the use of probabilities. The chapter about pre-compositional approaches offers original techniques that a student composer can implement in order to start a new work. Based on lateral thinking, the last section of the book fosters creative connections with other disciplines such as math, visual arts, and architectural acoustics. The one hundred exercises contain a unique set of guidelines and constraints that place students in a specific compositional framework. These compositional boundaries encourage students to produce creative work within a given structure. Using the methodologies in this book, students will be able to create their own outlines for their compositions, making intelligent and educated compositional choices that balance reasoning with intuition.
An Introduction to Constraint-Based Temporal Reasoning
Solving challenging computational problems involving time has been a critical component in the development of artificial intelligence systems almost since the inception of the field. This book provides a concise introduction to the core computational elements of temporal reasoning for use in AI systems for planning and scheduling, as well as systems that extract temporal information from data. It presents a survey of temporal frameworks based on constraints, both qualitative and quantitative, as well as of major temporal consistency techniques. The book also introduces the reader to more recent extensions to the core model that allow AI systems to explicitly represent temporal preferences and temporal uncertainty. This book is intended for students and researchers interested in constraint-based temporal reasoning. It provides a self-contained guide to the different representations of time, as well as examples of recent applications of time in AI systems.