Results 181 to 190 of about 1,517,214 (350)

Creativity and Markov Decision Processes

open access: yes
Creativity is already regularly attributed to AI systems outside specialised computational creativity (CC) communities. However, the evaluation of creativity in AI at large typically lacks grounding in creativity theory, which can promote inappropriate attributions and limit the analysis of creative behaviour.
Lahikainen, Joonas   +2 more
openaire   +3 more sources

Surveillance imaging for patients with head and neck cancer treated with definitive radiotherapy: A partially observed Markov decision process model. [PDF]

open access: yesCancer, 2020
Ng SP   +14 more
europepmc   +1 more source

Linking uplift, erosion, and sedimentation using landscape evolution models: Madagascar since the Late Cretaceous

open access: yesEarth Surface Processes and Landforms, Volume 48, Issue 1, Page 215-229, January 2023., 2023
This paper uses a numerical landscape evolution model to reconstruct the topographic history of Madagascar since the Late Cretaceous. The model is optimised by balancing the volumes of onshore erosion and offshore sedimentation; the former is predicted with erosion laws and based on uplift history inferred from elevated planation surfaces.
Ruohong Jiao   +4 more
wiley   +1 more source

Characterization of the Cubamyces Menziesii Terpenome

open access: yesChemBioChem, EarlyView.
The genome of Cubamyces menziesii reveals 18 putative sesquiterpene cyclase genes. These genes are cloned and expressed in Escherichia coli, yielding 10 active enzymes. Using farnesyl diphosphate as substrate, the enzymes are analyzed, and the products characterized after bioconversion, uncovering diverse sesquiterpene structures. This study highlights
Létitia Leydet   +10 more
wiley   +1 more source

Optimized Task Assignment and Predictive Maintenance for Industrial Machines using Markov Decision Process [PDF]

open access: yesarXiv
This paper considers a distributed decision-making approach for manufacturing task assignment and condition-based machine health maintenance. Our approach considers information sharing between the task assignment and health management decision-making agents. We propose the design of the decision-making agents based on Markov decision processes. The key
arxiv  

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