Towards adaptive programming

Simpkins, Christopher L.; Bhat, Sooraj; Isbell, Charles L.; Mateas, Michael

doi:10.1145/1449764.1449811

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Manual Design and Other Approaches1

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Cited by 10 publications

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“…Note that one still has to hand-code the desired behaviors for the AI agent according to the ABL semantics, even though the transition to the ABT is automatic. ABL is used also in [102,152].…”

Section: Manual Design and Other Approachesmentioning

confidence: 99%

A Survey of Behavior Trees in Robotics and AI

Iovino¹,

Scukins²,

Styrud³

et al. 2020

Preprint

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Section: Manual Design and Other Approachesmentioning

confidence: 99%

A Survey of Behavior Trees in Robotics and AI

Iovino¹,

Scukins²,

Styrud³

et al. 2020

Preprint

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Towards Programming Languages for Machine Learning and Data Mining (Extended Abstract)

Raedt

Nijssen

2011

Lecture Notes in Computer Science

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Today there is only little support for developing software that incorporates a machine learning or a data mining component. To alleviate this situation, we propose to develop programming languages for machine learning and data mining. We also argue that such languages should be declarative and should be based on constraint programming modeling principles. In this way, one could declaratively specify the problem of machine learning or data mining problem of interest in a high-level modeling language and then translate it into a constraint satisfaction or optimization problem, which could then be solved using particular solvers. These ideas are illustrated on problems of constraint-based itemset and pattern set mining.

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