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Are multiagent algorithms relevant for real hardware?

Paul Scerri, Jay Modi, Wei-Min Shen, Milind Tambe
2003 Proceedings of the 2003 ACM symposium on Applied computing - SAC '03  
A probabilistic representation of resources and tasks was used to deal with uncertainty and dynamics and local reasoning was used to deal with delays in the distributed resource allocation algorithm.  ...  In this paper, we report on what was required to apply a particular distributed resource allocation algorithm developed for an abstract coordination problem in a real hardware application.  ...  A sample track is shown in Figure 7 .  ... 
doi:10.1145/952539.952543 fatcat:vdof3y6ofbhkxjn7jmq6vjmvgi

Are multiagent algorithms relevant for real hardware?

Paul Scerri, Jay Modi, Wei-Min Shen, Milind Tambe
2003 Proceedings of the 2003 ACM symposium on Applied computing - SAC '03  
A probabilistic representation of resources and tasks was used to deal with uncertainty and dynamics and local reasoning was used to deal with delays in the distributed resource allocation algorithm.  ...  In this paper, we report on what was required to apply a particular distributed resource allocation algorithm developed for an abstract coordination problem in a real hardware application.  ...  A sample track is shown in Figure 7 .  ... 
doi:10.1145/952532.952543 dblp:conf/sac/ScerriMST03 fatcat:p66tjbnswvhspl7dy3e5tmgqka

Future Research on Cyber-Physical Emergency Management Systems

Erol Gelenbe, Fang-Jing Wu
2013 Future Internet  
Grid/cloud-supported computing can gather sensing information and dynamically predict the movement of evacuees and hazards to make the best decisions regarding resource allocation and response.  ...  dissemination, knowledge discovery, resource allocation and management, heterogeneous system integration and asynchronous control, and we discuss some of these challenges below. • Communication issues  ...  For instance, in an outdoor city-wide environment, large numbers of civilians may be tracked, and massive sensing information can only be stored and computed rapidly by a powerful resource pool. • Comparison  ... 
doi:10.3390/fi5030336 fatcat:fhprtq467fdfhamh4pmikxbtzu

Distributed Sensor Allocation for Multi-Target Tracking in Wireless Sensor Networks

Yinfei Fu, Qing Ling, Zhi Tian
2012 IEEE Transactions on Aerospace and Electronic Systems  
This paper considers the sensor allocation problem for multi-target tracking (MTT), in which a group of sensors are dynamically selected and allocated to track each of the multiple targets and collaborate  ...  within the group via track data fusion.  ...  ACKNOWLEDGMENT The authors would like to thank the anonymous reviewers for their constructive feedback. Their comments have led to the simple proof for Proposition 1.  ... 
doi:10.1109/taes.2012.6324736 fatcat:4xa2efnwbnd6zdhh44zfdh34la

Elastic Information Management for Air Pollution Monitoring in Large-Scale M2M Sensor Networks

Yajie Ma, Yike Guo, Dilshan Silva, Orestis Tsinalis, Chao Wu
2013 International Journal of Distributed Sensor Networks  
The core technique of EIMAP is the elastic resource provision scheduler, which models the constraint satisfaction problem by minimizing the use of resources for collecting information for a defined quality  ...  Hence, an elastic resource allocation strategy is introduced which is a novel management technique based on elastic computing.  ...  Acknowledgments This work was jointly supported by National Science Foundation of China, Grant no. 61104215, and Engineering and Physical Science Research Council (EPSRC), Grant no. EP/H042512/1.  ... 
doi:10.1155/2013/251374 fatcat:x53ovdb4f5elvaxtr5ozjrxdee

Giving Eyesight to the Blind: Towards Attention-Aware AIED

Sidney K. D'Mello
2016 International Journal of Artificial Intelligence in Education  
We argue that nextgeneration AIED systems should have the ability to monitor and dynamically (re)direct attention in order to optimize allocation of sparse attentional resources.  ...  ; and (3) interventions to dynamically (re)direct attention.  ...  Any opinions, findings and conclusions, or recommendations expressed in this paper are those of the authors and do not necessarily reflect the views of NSF.  ... 
doi:10.1007/s40593-016-0104-1 fatcat:b4pnu4w6mvdzfcwbmbadvsou5a

Brain Plasticity Through the Life Span: Learning to Learn and Action Video Games

Daphne Bavelier, C. Shawn Green, Alexandre Pouget, Paul Schrater
2012 Annual Review of Neuroscience  
For personal use only.  ...  This work reviews how complex training environments such as action video game play may actually foster brain plasticity and learning.  ...  Resources VGPs have increased attentional resources in multiple-object-tracking tasks, allowing for more accurate representation of motion and features, which in turn enables more accurate tracking and  ... 
doi:10.1146/annurev-neuro-060909-152832 pmid:22715883 fatcat:durkcqte3bg3jgammnhearx2t4

Intelligent Wireless Communications Enabled by Cognitive Radio and Machine Learning [article]

Xiangwei Zhou, Mingxuan Sun, Geoffrey Ye Li, Biing-Hwang Juang
2018 arXiv   pre-print
in dynamic wireless environments.  ...  We describe the state-of-the-art of relevant techniques, covering spectrum sensing and access approaches and powerful machine learning algorithms that enable spectrum- and energy-efficient communications  ...  As a result, dynamic resource allocation and adaptive power control have been paid more and more attention recently.  ... 
arXiv:1710.11240v4 fatcat:elt77cgcxvappbxvspp7evb74u

Computational rationality: A converging paradigm for intelligence in brains, minds, and machines

S. J. Gershman, E. J. Horvitz, J. B. Tenenbaum
2015 Science  
Advances include the development of representations and inferential procedures for large-scale probabilistic inference and machinery for enabling reflection and decisions about tradeoffs in effort, precision  ...  Gershman and the three referees for helpful comments.  ...  how best to allocate these scarce resources.  ... 
doi:10.1126/science.aac6076 pmid:26185246 fatcat:vpr6ke7czvhdpa4dnebvize7yq

2021 Index IEEE Transactions on Vehicular Technology Vol. 70

2021 IEEE Transactions on Vehicular Technology  
Departments and other items may also be covered if they have been judged to have archival value. The Author Index contains the primary entry for each item, listed under the first author's name.  ...  The primary entry includes the coauthors' names, the title of the paper or other item, and its location, specified by the publication abbreviation, year, month, and inclusive pagination.  ...  Computer centers Cost-and-Delay Aware Dynamic Resource Allocation in Federated Vehicular Clouds.  ... 
doi:10.1109/tvt.2022.3151213 fatcat:vzuzqu54irebpibzp3ykgy5nca

Safely: Safe Stochastic Motion Planning Under Constrained Sensing via Duality [article]

Michael Hibbard, Abraham P. Vinod, Jesse Quattrociocchi, Ufuk Topcu
2022 arXiv   pre-print
Despite the clear benefits for trajectory optimization, it is often hard to keep track of each obstacle at every time step due to sensing and hardware limitations.  ...  Consider a robot operating in an uncertain environment with stochastic, dynamic obstacles.  ...  Using Safely, we design a safe trajectory for the robot in the stochastic environment and identify the obstacles for which sensing resources should be allocated based on their influence on the performance  ... 
arXiv:2203.02816v1 fatcat:w3f4a6ixzzgrnlah5f2kxkan7m

Vision In and Out of Vehicles: Integrated Driver and Road Scene Monitoring

Nicholas Apostoloff, Alexander Zelinsky
2004 The international journal of robotics research  
Experimental results of a novel 15 Hz visual lane tracking system will be discussed, focusing on the particle filter and cue fusion technology used.  ...  In this paper we present preliminary results of an Intelligent Transport System project that has fused visual lane tracking and driver monitoring technologies in the first step towards closing the loop  ...  We would also like to acknowledge Gareth Loy and Luke Fletcher for their help with the tracking system used in the lane tracker.  ... 
doi:10.1177/0278364904042206 fatcat:w3yo25ziunhuhnuwtbjjp5fl7q

Modeling and mitigation of occupational safety risks in dynamic industrial environments [article]

Ashutosh Tewari, Antonio R. Paiva
2022 arXiv   pre-print
Additionally, the proposed model can be leveraged for automated decision making, for instance solving resource allocation problems -- targeted towards risk mitigation -- that are often encountered in resource-constrained  ...  Moreover, best practices and modern SMSs are unable to account for dynamically evolving environments/behavioral characteristics commonly found in many industrial settings.  ...  for a particular resource allocation problem.  ... 
arXiv:2205.00894v1 fatcat:tcfhojl7ine55dcjvmu4mqbypu

Models of attention in computing and communication

Eric Horvitz, Carl Kadie, Tim Paek, David Hovel
2003 Communications of the ACM  
Investigations in this realm include selective allocation of resources in rendering graphics via relying on models [14, 16] or on direct observations [21] of visual attention, and in guiding precomputation  ...  The findings about our limited attentional resources-and about how we rely on attentional signals in collaborating-have significant implications for how we design computational systems and interfaces.  ...  of devices, and location sensing via GPS and analysis of wireless signals.  ... 
doi:10.1145/636772.636798 fatcat:oldawl6gobgyhdbywa7v2cxsim

2020 Index IEEE Systems Journal Vol. 14

2020 IEEE Systems Journal  
., 3360-3370 Energy-Efficient Resource Allocation for Dynamic Priority-Based Vehicular Mobile-Health Communications.  ...  ., +, JSYST March 2020 363-374 Energy-Efficient Resource Allocation for Dynamic Priority-Based Vehicular Mobile-Health Communications.  ...  ., +, 2585 -2588 Energy-Efficient IoT-Fog-Cloud Architectural Paradigm for Real-Time Wildfire Prediction and Forecasting. 2003 -2011 Agent Pseudonymous Authentication-Based Conditional Privacy Preservation  ... 
doi:10.1109/jsyst.2021.3054547 fatcat:zf2aafvnfzbeje32qei5563myu
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