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Adapt-Traf: An adaptive multiagent road traffic management system based on hybrid ant-hierarchical fuzzy model

Habib M. Kammoun, Ilhem Kallel, Jorge Casillas, Ajith Abraham, Adel M. Alimi
2014 Transportation Research Part C: Emerging Technologies  
The proposed system is implemented and simulated under a multiagent platform in order to discuss the improvement of the global road traffic quality in terms of time, fluidity and adaptivity.  ...  Usually, road networks are characterized by their great dynamics including different entities in interactions. This leads to more complex road traffic management.  ...  Acknowledgments This work was supported, in part, by the General Direction of Scientific Research (DGRST) in Tunisia (ARUB program) and by the Spanish Ministry of Science and Innovation (grant no.  ... 
doi:10.1016/j.trc.2014.03.003 fatcat:sahnsazdlvevvoplvgofad4hvy

Belief change and argumentation in multi-agent scenarios

Jürgen Dix, Sven Ove Hansson, Gabriele Kern-Isberner, Guillermo R. Simari
2016 Annals of Mathematics and Artificial Intelligence  
Usually, agents acting in uncertain and dynamic scenarios need to have the capability of reasoning defeasibly about the environment, ı.e., the agents should be capable of revising hypotheses or previously  ...  Research on multiagent systems has produced increasingly relevant modeling results characterizing a general paradigm for distributed problem solving (particularly in resource bounded domains) and for the  ... 
doi:10.1007/s10472-016-9530-x fatcat:e4jrdcvvaff4xk3oqikdzek6sa

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  
The probabilistic representation and local reasoning enabled the use of the multi-agent algorithm which, in turn, improved the overall performance of the system.  ...  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.  ...  INTRODUCTION In the field of multiagent systems, researchers often abstract out key real-world coordination problems for investigation within software testbeds [2] .  ... 
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  
The probabilistic representation and local reasoning enabled the use of the multi-agent algorithm which, in turn, improved the overall performance of the system.  ...  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.  ...  INTRODUCTION In the field of multiagent systems, researchers often abstract out key real-world coordination problems for investigation within software testbeds [2] .  ... 
doi:10.1145/952532.952543 dblp:conf/sac/ScerriMST03 fatcat:p66tjbnswvhspl7dy3e5tmgqka

Recognizing Planned, Multiperson Action

Stephen S. Intille, Aaron F. Bobick
2001 Computer Vision and Image Understanding  
The strengths and limitations of the system are discussed and compared with other multiagent recognition algorithms.  ...  a probabilistic framework.  ...  This work was supported in part by DARPA Contract DAAL01-97-K0103 and ORD Contract 94-F133400-000.  ... 
doi:10.1006/cviu.2000.0896 fatcat:vdj5k66wufcstgchl56smc6koe

On the role of multiply sectioned bayesian networks to cooperative multiagent systems

Yang Xiang, V. Lesser
2003 IEEE transactions on systems, man and cybernetics. Part A. Systems and humans  
We consider a common task in multiagent systems where agents need to estimate the state of an uncertain domain so that they can act accordingly.  ...  ., [9] , [24] , [14] , like the above mentioned frameworks for probabilistic reasoning with graphical models, are not intended for multiagent systems.  ...  The alternative approach can be viewed as extending multiagent uncertain reasoning from static domains to dynamic domains.  ... 
doi:10.1109/tsmca.2003.809220 fatcat:ffeanbtzpbgpjipqb6ypejfpra

Evolutionary dynamics of finite populations in games with polymorphic fitness equilibria

Sevan G. Ficici, Jordan B. Pollack
2007 Journal of Theoretical Biology  
human strategic reasoning • Designed probabilistic computational models of human strategic reasoning and used them to build computer agents capable of successful interaction with people in strategic multi-agent  ...  RESEARCH Multi-agent systems, computational game theory, machine learning, stochastic search, evolutionary computation, adaptive behavior, robotics, artificial life, complex systems, dynamical systems,  ...  PUBLICATIONS • Over 55 citations in journals including: Adaptive Behavior; Artificial Life; Autonomous Agents and Multiagent Systems; Autonomous Robots; Bulletin of Mathematical Biology; Connection Science  ... 
doi:10.1016/j.jtbi.2007.03.004 pmid:17466341 fatcat:eby26pyvmbfjzag6qkgat6ulue

AAAI 2002 Workshops

M. Brian Blake, Karen Zita Haigh, Henry Hexmoor, Rino Falcone, Leen-Kiat Soh, Chitta Baral, Sheila A. McIlraith, Piotr J. Gmytrasiewicz, Simon Parsons, Rainer Malaka, Antonio Krüger, Paolo Bouquet (+19 others)
2002 The AI Magazine  
Coalition Formation in Dynamic Multiagent Environments The workshop addressed a particular and ever increasingly important research issue in multiagent systems, that is, coalition formation in dynamic  ...  A lively discussion at the end of the workshop showed that the view on planning in multiagent systems is rather different in the multiagent systems and the planning communities.  ...  Spatial and Temporal Reasoning The AAAI-02 Workshop on Spatial and Temporal Reasoning continued a series of such activities over the last 10 years in spanning related communities of researchers that study  ... 
doi:10.1609/aimag.v23i4.1678 dblp:journals/aim/BlakeHHFSBMGPMKBSKPBdJDDRSGWGHIWAGL02 fatcat:b3lkuxmpj5ezbddwbysfuk4yhi

Research Directions for Service-Oriented Multiagent Systems

M.N. Huhns, M.P. Singh, M. Burstein, K. Decker, E. Durfee, T. Finin, L. Gasser, H. Goradia, N. Jennings, K. Lakkaraju, H. Nakashima, V. Parunak (+8 others)
2005 IEEE Internet Computing  
Today's service-oriented systems realize many ideas from the research conducted a decade or so ago in multiagent systems.  ...  for service-oriented multiagent system research.  ...  Science Foundation, under grant number IIS-0531746, and the Defense Advanced Research Projects Agency, under grant number HR0011-05-1-0020, supported the retreat at which we formulated the ideas described in  ... 
doi:10.1109/mic.2005.132 fatcat:c7dn3m4korhfhgoeqse536hdje

Dynamic multiagent probabilistic inference

Xiangdong An, Yang Xiang, Nick Cercone
2008 International Journal of Approximate Reasoning  
Cooperative multiagent probabilistic inference can be applied in areas such as building surveillance and complex system diagnosis to reason about the states of the distributed uncertain domains.  ...  In this paper, we propose to reason about the state of a distributed dynamic domain period by period using an MSBN.  ...  They have been extended and applied to probabilistic reasoning and acting in dynamic multiagent systems recently.  ... 
doi:10.1016/j.ijar.2007.08.010 fatcat:nx2gdprstzebroaooj3tma25vy

A brief introduction to agent mining

Longbing Cao, Gerhard Weiss, Philip S. Yu
2012 Autonomous Agents and Multi-Agent Systems  
Keywords Agent mining · Multiagent system · Data mining · Knowledge discovery · Machine learning The concept of agent mining Agent mining [1, 6] refers to the methodologies, technology, tools and systems  ...  Agent mining is an emerging interdisciplinary area that integrates multiagent systems, data mining and knowledge discovery, machine learning and other relevant areas.  ...  firewalls by data mining, competitive-cooperative automated reasoning from distributed and multiple sources of data, normative multiagent enriched data mining to support e-citizens, using multiagent systems  ... 
doi:10.1007/s10458-011-9191-4 fatcat:us225ya6vnhndi6pngmv3jzqne

Special Issue on Higher-Level Cognition and Computation

Marco Ragni, Frieder Stolzenburg
2015 Künstliche Intelligenz  
In the former project, an application of higher-level cognition is considered, namely deep question answering, where techniques from information retrieval and automated reasoning are combined in a system  ...  In a further technical contribution, Mathias Winther Madsen investigates limits and potentials of a multiagent probability theory and its implication for statistical consistency problems.  ...  In the former project, an application of higher-level cognition is considered, namely deep question answering, where techniques from information retrieval and automated reasoning are combined in a system  ... 
doi:10.1007/s13218-015-0383-y fatcat:446cvdbdezcqfd3gqxxdmtdpwq

Reports on the 2018 AAAI Spring Symposium Series

Christopher Amato, Haitham Bou Ammar, Elizabeth Churchill, Erez Karpas, Takashi Kido, Mike Kuniavsky, W. F. Lawless, Francesca Rossi, Frans A. Oliehoek, Stephen Russell, Keiki Takadama, Siddharth Srivastava (+5 others)
2018 The AI Magazine  
, and Learning in Robotics; Learning, Inference, and Control of Multi-Agent Systems.  ...  Cognitive Bias and Humanity for Well-Being AI; Data Efficient Reinforcement Learning; The Design of the User Experience for Artificial Intelligence (the UX of AI); Integrated Representation, Reasoning  ...  This symposium brought together researchers from reinforcement learning, probabilistic modeling, robotics, and multiagent systems to discuss potential solutions to these challenging problems.  ... 
doi:10.1609/aimag.v39i4.2824 fatcat:qt3z2vh7vjetpiecy7c3xayb4e

Table of contents

2021 IEEE Transactions on Neural Networks and Learning Systems  
Huang Data-Driven Terminal Iterative Learning Consensus for Nonlinear Multiagent Systems With Output Saturation ...... ..................................................................................  ...  Chi Qualitative Analysis and Bifurcation in a Neuron System With Memristor Characteristics and Time Delay ........... ..................................................................................  ... 
doi:10.1109/tnnls.2021.3073386 fatcat:ucpfzuockzhd5el5sjclq4ut4y

AIs 10 to Watch: The Future of AI

2018 IEEE Intelligent Systems  
In addition to standard techniques based on search and dynamic programming, my work develops close connections between multiagent planning and machine learning using graphical models and probabilistic  ...  Exact planning in such models quickly becomes intractable even for small multiagent systems.  ... 
doi:10.1109/mis.2018.012001549 fatcat:mfx4dnb5lrgjbizilzh2anbcz4
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