Results 71 to 80 of about 863,158 (285)
Costs of task allocation with local feedback: Effects of colony size and extra workers in social insects and other multi-agent systems. [PDF]
PLoS Computational Biology, 2017 Adaptive collective systems are common in biology and beyond. Typically, such systems require a task allocation algorithm: a mechanism or rule-set by which individuals select particular roles.
Tsvetomira Radeva +4 more
doaj +1 more source
Communication-Aware Multi-Agent Metareasoning for Decentralized Task Allocation
IEEE Access, 2021 Metareasoning refers to reasoning about one’s own decision making process. This paper considers metareasoning about the decision making process in multi-agent settings.
Estefany Carrillo +7 more
doaj +1 more source
Analysis of Dynamic Task Allocation in Multi-Robot Systems
, 2006 Dynamic task allocation is an essential requirement for multi-robot systems operating in unknown dynamic environments. It allows robots to change their behavior in response to environmental changes or actions of other robots in order to improve overall ...
Galstyan, Aram +3 more
core +5 more sources
FEBS Open Bio, EarlyView.Pharmacological inhibition of PERK in a DEN‐induced mouse model of liver cancer does not reduce tumor burden but alters cellular stress signaling. Despite blocking PERK activity, downstream stress responses, including CHOP expression, remain active, suggesting compensatory mechanisms within the unfolded protein response that may influence tumor ...
Ada Lerma‐Clavero +5 more
wiley +1 more source
Dynamic Task Allocation for Heterogeneous UAVs Based on Task Evaluation Feedback [PDF]
Hangkong bingqiTask allocation for heterogeneous UAVs in a dynamic battlefield environment is one of the critical techniques for rapid combat capability generation of UAVs.
Zhang Youan, He Ziqi, Li Bochen, Song Lei
doaj +1 more source
Cooperative Multi-Robot Task Allocation with Reinforcement Learning
Applied Sciences, 2021 This paper deals with the concept of multi-robot task allocation, referring to the assignment of multiple robots to tasks such that an objective function is maximized.
Bumjin Park +2 more
doaj +1 more source
Remote Monitoring in Myasthenia Gravis: Exploring Symptom Variability
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background Myasthenia gravis (MG) is a rare, autoimmune disorder characterized by fluctuating muscle weakness and potential life‐threatening crises. While continuous specialized care is essential, access barriers often delay timely interventions. To address this, we developed MyaLink, a telemedical platform for MG patients.
Maike Stein +13 more
wiley +1 more source
Psychological Issues in Online Adaptive Task Allocation [PDF]
, 1984 Adaptive aiding is an idea that offers potential for improvement over many current approaches to aiding in human-computer systems. The expected return of tailoring the system to fit the user could be in the form of improved system performance and/or ...
Frey, P. R. +3 more
core +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To investigate the value of constructing models based on habitat radiomics and pathomics for predicting the risk of progression in high‐grade gliomas. Methods This study conducted a retrospective analysis of preoperative magnetic resonance (MR) images and pathological sections from 72 patients diagnosed with high‐grade gliomas (52 ...
Yuchen Zhu +14 more
wiley +1 more source
IEEE Access, 2019 Wireless sensor networks (WSNs) and mobile crowdsensing (MCS) are two important paradigms in urban dynamic sensing. In both sensing paradigms, task allocation is a significant problem, which may affect the completion quality of sensing tasks.
Wenzhong Guo +4 more
doaj +1 more source