Filters








23,649 Hits in 4.4 sec

Speculative constraint processing for hierarchical agents

Hiroshi Hosobe, Ken Satoh, Jiefei Ma, Alessandra Russo, Krysia Broda
2010 AI Communications  
Previously we have proposed a logical framework for speculative constraint processing for master-slave multi-agent systems.  ...  Speculative computation is an effective means for solving problems with incomplete information in multi-agent systems.  ...  Acknowledgement This work was supported in part by the Japan Society for the Promotion of Science, Grant-in-Aid for Scientific Research (B), 19300053.  ... 
doi:10.3233/aic-2010-0480 fatcat:6o33wcu3ivagbi4bldh2hzmegm

Preface

Jordi Sabater-Mir, Paul Davidsson
2010 AI Communications  
In the paper, an existing framework for speculative constraint process-ing for master-slave systems is extended to support hierarchically structured multi-agent systems.  ...  In the article "Speculative constraint processing for hierarchical agents" by Hiroshi Hosobe, Ken Satoh, Jiefei Ma, Alessandra Russo and Krysia Broda, this problem is addressed using speculative computation  ... 
doi:10.3233/aic-2010-0475 fatcat:beirbexk6ngatgx5bcltzczscm

A dynamic default revision mechanism for speculative computation

Tiago Oliveira, Ken Satoh, Paulo Novais, José Neves, Hiroshi Hosobe
2016 Autonomous Agents and Multi-Agent Systems  
The default revision is supported by a method for the generation of default constraints based on Bayesian Networks.  ...  This is achieved by changing the initial set of default constraints during the reasoning process in Speculative Computation. A practical example in clinical decision support is described.  ...  For an askable atom Q@S in a goal, the speculative agent sends a question asking its real value to an agent S in Σ and waits for the answer.  ... 
doi:10.1007/s10458-016-9341-9 fatcat:hkcfd4cudjeczjygufogdvouom

Hierarchical organizations for real-time large-scale task and team environments

Osher Yadgar, Sarit Kraus, Charles L. Ortiz
2002 Proceedings of the first international joint conference on Autonomous agents and multiagent systems part 3 - AAMAS '02  
DDM organizes teams hierarchically and addresses two important issues that are prerequisites for success in such domains: (i) how agents should process local information to provide a partial solution to  ...  In this paper, we describe the Distributed Dispatcher Manager (DDM), a system for monitoring large collections of dynamically changing tasks.  ...  The hierarchical team organization supports processes for very quickly combining partial results to form an accurate global solution.  ... 
doi:10.1145/545056.545089 dblp:conf/atal/YadgarKO02 fatcat:tlbdbidzizggxojbrw7ixdkqsm

Hierarchical organizations for real-time large-scale task and team environments

Osher Yadgar, Sarit Kraus, Charles L. Ortiz
2002 Proceedings of the first international joint conference on Autonomous agents and multiagent systems part 3 - AAMAS '02  
DDM organizes teams hierarchically and addresses two important issues that are prerequisites for success in such domains: (i) how agents should process local information to provide a partial solution to  ...  In this paper, we describe the Distributed Dispatcher Manager (DDM), a system for monitoring large collections of dynamically changing tasks.  ...  The hierarchical team organization supports processes for very quickly combining partial results to form an accurate global solution.  ... 
doi:10.1145/545079.545089 fatcat:xdhfiesjprcnpeprk5tsvum5fq

Hierarchical Information Combination in Large-Scale Multiagent Resource Management [chapter]

Osher Yadgar, Sarit Kraus, Charles L. Ortiz
2003 Lecture Notes in Computer Science  
DDM organizes teams hierarchically and addresses two important issues that are prerequisites for success in such domains: (i) how agents can extend local, partial information to arrive at a better local  ...  In this paper, we describe the Distributed Dispatcher Manager (DDM), a system for managing resource in very large-scale task and resource domains.  ...  agents and to guide processes for very quickly combine partial information to form a global assessment.  ... 
doi:10.1007/978-3-540-44972-0_6 fatcat:nsxz3ppcdfgmtn7x5cwpmvk3ye

Patterns of Self-Organizing Agile Security for Resilient Network Situational Awareness and Sensemaking

Rick Dove
2011 2011 Eighth International Conference on Information Technology: New Generations  
The two patterns described in this paper are modeled on the Biological Immune Systems and on mammalian hierarchical cortical sensemaking architecture.  ...  In this paper we build upon six fundamental characteristics common to adversarial success, suggest that winning security can employ the same characteristics, show two patterns appropriate for resilient  ...  Initial chip product is currently in advanced stages of production design, and promises to lift computational constraints on pattern-matching for both artificial immune systems and for hierarchical temporal  ... 
doi:10.1109/itng.2011.156 dblp:conf/itng/Dove11 fatcat:ambd6stuyjd7jfkoek22eb23va

The Role of Sequential Learning in Language Evolution: Computational and Experimental Studies [chapter]

Morten H. Christiansen, Rick A. C. Dale, Michelle R. Ellefson, Christopher M. Conway
2002 Simulating the Evolution of Language  
He took this as suggesting that Broca's area subserves not only syntactic speech production, but also functions as a locus for supramodal processing of hierarchically structured behavior.  ...  Introduction After having been plagued for centuries by unfounded speculations, the study of language evolution is now emerging as an area of legitimate scientific inquiry.  ... 
doi:10.1007/978-1-4471-0663-0_8 fatcat:oxbp5bcz2vfu3eiqsergmvqwrq

Idiosyncrasies and challenges of data driven learning in electronic trading [article]

Vangelis Bacoyannis, Vacslav Glukhov, Tom Jin, Jonathan Kochems, Doo Re Song
2018 arXiv   pre-print
We outline the idiosyncrasies of neural information processing and machine learning in quantitative finance.  ...  • Other than using domain knowledge to separate processes of different time scales, and using hierarchical training, is there a rigorous way to design agents operating on multiple time scales?  ...  processing and reinforcement learning in each of them, we are also able to manage the overall complexity of the agent, we can better understand what it does and why it does what it does. 5 Hierarchical  ... 
arXiv:1811.09549v2 fatcat:yknmwftlujhhbilnn36xmm4o6q

New application of genetic algorithm in optimization of structural weights

Mokhtar Jalilian
2013 IOSR Journal of Mechanical and Civil Engineering  
In this report, we propose a genetic algorithm aided optimization scheme for designing hierarchical structures of multi-agent systems.  ...  optimizing hierarchical multi-agent systems.  ...  If it can be speculated furthermore that the highest rated organization is made up of 4 levels, 2 mediators, with every mediator having 2 subordinate agents, the number of evaluations needed for KB-ORG  ... 
doi:10.9790/1684-0735270 fatcat:k5cuje6uebhznj23qm5vobpyda

5-HT2A Agonists: A Novel Therapy for Functional Neurological Disorders?

Alexander Bryson, Olivia Carter, Trevor Norman, Richard Kanaan
2017 International Journal of Neuropsychopharmacology  
Recent studies have shown that these agents induce changes in neural activity that disrupt hierarchical brain dynamics and modulate networks subserving self-related processing.  ...  Firstly, these agents diminish fMRI activity and functional connectivity within networks subserving self-related cognitive processing.  ...  Based on the known impact of these agents on brain activity and our current understanding of FND neuropathology, these agents appear particularly suited for the management of this condition.  ... 
doi:10.1093/ijnp/pyx011 pmid:28177082 pmcid:PMC5417053 fatcat:4fa6mbt6s5ampl4mcrgqgwc7va

Multiagent Task Planning Based on Distributed Resource Scheduling under Command and Control Structure

Jie Zhang, Gang Wang, Yafei Song, Fangzheng Zhao, Siyuan Wang
2019 Mathematical Problems in Engineering  
For task planning of the command and control structure, the existing algorithms exhibit low efficiency and poor replanning quality under abnormal conditions.  ...  The original hierarchical task network planning algorithm is optimized, the multiagent collaboration framework is redefined, and the coordination mechanism of local conflict is developed.  ...  For the contradiction of local conflicts between various agents, a corresponding cooperation mechanism should be adopted for processing.  ... 
doi:10.1155/2019/4259649 fatcat:ferdamsxabcyffzbegppbyrtie

A Fuzzy-Logic Autonomous Agent Applied as a Supervisory Controller in a Simulated Environment

G. Chrysanthakopoulos, W.L.J. Fox, R.T. Miyamoto, R.J. Marks, M.A. El-Sharkawi, M. Healy
2004 IEEE transactions on fuzzy systems  
Self-reflection is utilized so the agent can learn from its environmental constraints and modify its own state.  ...  The agent, dubbed the ORG, employs fuzzy logic and clustering techniques to efficiently represent and retrieve knowledge and uses innovative sensor modeling and attention focus to process a large number  ...  Speculation and Experimentation Facility Speculation is part of the learning process and is used to evaluate new rules and determine appropriate motor function mappings for reactions generated by the core  ... 
doi:10.1109/tfuzz.2003.822683 fatcat:pdcuvaqd7zgixec2nxdf7ascb4

Knowledge-based support for management of concurrent, multidisciplinary design

Raymond E. Levitt, Yan Jin, Clive L. Dym
1991 Artificial intelligence for engineering design, analysis and manufacturing  
A discussion of the process of multidisciplinary design highlights elements of both sequential and concurrent design decision-making.  ...  Knowledge-based support for management of concurrent, multidisciplinary design.  ...  paper who provided us with excellent critiques and detailed suggestions for sharpening the paper's focus.  ... 
doi:10.1017/s0890060400002584 fatcat:kibwsarrm5g25iwyfigaogmz6e

Deep Hierarchical Strategy Model For Multi-Source Driven Quantitative Investment

Chunming Tang, Wenyan Zhu, Xiang Yu
2019 IEEE Access  
For the pre-judging module, we designed a regression constraint Wasserstein generative adversarial network (WGAN) to complete the mission instead of the common discriminant methods in the past.  ...  CHUNMING TANG received the B.S. degree in image transmission and processing, the M.Sc. degree in electronics and communication engineering, and the Ph.D. degree in signal and information processing from  ...  This paper designs a regression constraint (RC) mode for WGAN to generate the closing index PC t for the forecast day t.  ... 
doi:10.1109/access.2019.2923267 fatcat:bur5qnonenfitg2kuad7ehsucm
« Previous Showing results 1 — 15 out of 23,649 results