ECAI '92 Proceedings of the 10th European conference on Artificial intelligence
The computational complexity of propositional STRIPS planning
Artificial Intelligence
Artificial intelligence: a modern approach
Artificial intelligence: a modern approach
Planning and Control in Artificial Intelligence: A Unifying Perspective
Applied Intelligence
The importance of parameter mapping in electronic instrument design
NIME '02 Proceedings of the 2002 conference on New interfaces for musical expression
Real-time gesture mapping in Pd environment using neural networks
NIME '04 Proceedings of the 2004 conference on New interfaces for musical expression
On the choice of mappings based on geometric properties
NIME '04 Proceedings of the 2004 conference on New interfaces for musical expression
On-the-fly programming: using code as an expressive musical instrument
NIME '04 Proceedings of the 2004 conference on New interfaces for musical expression
MnM: a Max/MSP mapping toolbox
NIME '05 Proceedings of the 2005 conference on New interfaces for musical expression
Yeah, ChucK it! ⇒ dynamic, controllable interface mapping
NIME '05 Proceedings of the 2005 conference on New interfaces for musical expression
Planning Algorithms
The FF planning system: fast plan generation through heuristic search
Journal of Artificial Intelligence Research
Interactive composition, performance and music generation through iterative structures
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
Journal on Computing and Cultural Heritage (JOCCH)
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GO/Max is an agent programming language that facilitates the design of algorithms for real-time control of sound/music generation programs crafted in the Max/MSP environment. We show how software planning agents programmed in GO/Max can be used to transform abstract goal states specified by the performer in potentially complex sequences of Max/MSP control messages.