Enabling Stochastic Dynamic Games for Robotic Swarms
This paper scales stochastic dynamic games to large swarms of robots through selective agent modeling and variable partial belief space planning. We formulate these games using a belief space variant of iterative Linear Quadratic Gaussian (iLQG). We scale to teams of 50 agents through selective modeling based on the estimated influence of agents ...
Kamran Vakil, Alyssa Pierson
wiley +1 more source
Improved bayesian network with graph attention and prior algorithm for aircraft engine fault root cause analysis. [PDF]
Yuan L, Han G, Dong P.
europepmc +1 more source
Impact of Trade Protectionism on Economic Growth Based on Bayesian Networks and Fuzzy Logic
Yan Li
openalex +2 more sources
MusicSwarm: Biologically Inspired Intelligence for Music Composition
Biologically inspired swarms of frozen foundation models self‐organize to compose complex music without fine‐tuning. By coordinating through stigmergic signals, decentralized agents dynamically evolve specialized roles and adapt to solve complex tasks.
Markus J. Buehler
wiley +1 more source
The effect of exercise intervention on atherosclerosis prevention in overweight or obese adults: A Bayesian network meta-analysis of randomized controlled trials. [PDF]
Yang C +5 more
europepmc +1 more source
Inference in hybrid Bayesian networks wih mixtures of truncated exponenials
Barry R. Cobb, Prakash P. Shenoy
openalex +1 more source
Using data-driven Bayesian networks to analyze maritime accidents in congested waters
Takuya SAMESHIMA
openalex +1 more source
Artificial intelligence (AI) is reshaping autonomous mobile robot navigation beyond classical pipelines. This review analyzes how AI techniques are integrated into core navigation tasks, including path planning and control, localization and mapping, perception, and context‐aware decision‐making. Learning‐based, probabilistic, and soft‐computing methods
Giovanna Guaragnella +5 more
wiley +1 more source
Which beta-lactam infusion strategy is superior in ICU pneumonia? A Bayesian network meta-analysis of continuous, extended, and intermittent approaches. [PDF]
Lai P-C, Huang Y-T.
europepmc +1 more source

