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Dynamic Coalitions Formation in Dynamic Uncertain Environments
2015 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT), 2015This study presents a novel solution to agent coalition formation. It focuses on heterogeneous, distributed multi-agent systems deployed in real-world environments. Specifically, we study dynamic, uncertain environments in which tasks may evolve during execution, and agents and resource availability may vary rapidly and unpredictably. We refer to cases
Pascal Francois Faye +3 more
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Environment prediction for a mobile robot in a dynamic environment
IEEE Transactions on Robotics and Automation, 1997The problem of navigating a mobile robot among moving obstacles is usually solved on the condition of knowing the velocity of obstacles. However, it is difficult to provide such information to a robot in real time. In this paper, we present an environment predictor that provides an estimate of future environment configuration by fusing multisensor data
Charles C. Chang, Kai-Tai Song
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Population Dynamics in an Advective Environment
Communications on Applied Mathematics and Computation, 2023zbMATH Open Web Interface contents unavailable due to conflicting licenses.
King-Yeung Lam, Ray Lee, Yuan Lou
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Unpredictably Dynamic Environment Patrolling
Unmanned Systems, 2017Patrolling is the most commonly requested type of unmanned aerial vehicle (UAV) mission; thus we use it as a prototypical example of autonomous mission planning. In this paper, we design an autonomous mission planner for UAV patrolling missions in unpredictably dynamic environments (UDEs) using recomposable restricted finite state machines (ReRFSM ...
Jinwoo Seok, Mariam Faied, Anouck Girard
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Cooperative sensing in dynamic environments
Proceedings 2001 IEEE/RSJ International Conference on Intelligent Robots and Systems. Expanding the Societal Role of Robotics in the the Next Millennium (Cat. No.01CH37180), 2002This work presents methods for tracking objects from noisy and unreliable data taken by a team of robots. We develop a multi-object tracking algorithm based on Kalman filtering and a single-object tracking method involving a combination of Kalman filtering and Markov localization for outlier detection.
Markus Dietl +2 more
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Radiosity redistribution for dynamic environments
IEEE Computer Graphics and Applications, 1990The radiosity algorithm is extended to dynamic environments, providing global-illumination simulations to scenes that are modified interactively. The illumination effects introduced by a change in position, shape, or attributes of any object in the scene are computed very rapidly by redistributing the energy already exchanged between objects ...
David W. George +2 more
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Postmortem debugging in dynamic environments
Communications of the ACM, 2011Many modern dynamic languages lack tools for understanding complex failures.
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Derivatives in a Dynamic Environment [PDF]
American Economic Review, 1997 Prize Lecture to the memory of Alfred Nobel, December 9 ...
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Dephasing by a dynamic asymmetric environment
Physical Review B, 1991We investigate the manner in which quantum interference is suppressed when a particle interacts with a spatially localized, dynamical environment. To do so we examine a model with two classical paths along which an electron can travel and allow it to interact with a bath of harmonic oscillators on one path and travel freely on the other. In particular,
Loss, D., Mullen, K.
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Swarms in Dynamic Environments
2003Charged particle swarm optimization (CPSO) is well suited to the dynamic search problem since inter-particle repulsion maintains population diversity and good tracking can be achieved with a simple algorithm. This work extends the application of CPSO to the dynamic problem by considering a bi-modal parabolic environment of high spatial and temporal ...
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