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Speculative constraint processing for hierarchical agents
2010
AI Communications
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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
2010
AI Communications
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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
2016
Autonomous Agents and Multi-Agent Systems
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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
2002
Proceedings of the first international joint conference on Autonomous agents and multiagent systems part 3 - AAMAS '02
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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
2002
Proceedings of the first international joint conference on Autonomous agents and multiagent systems part 3 - AAMAS '02
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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]
2003
Lecture Notes in Computer Science
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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
2011
2011 Eighth International Conference on Information Technology: New Generations
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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]
2002
Simulating the Evolution of Language
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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]
2018
arXiv
pre-print
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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
2013
IOSR Journal of Mechanical and Civil Engineering
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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?
2017
International Journal of Neuropsychopharmacology
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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
2019
Mathematical Problems in Engineering
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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
2004
IEEE transactions on fuzzy systems
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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
1991
Artificial intelligence for engineering design, analysis and manufacturing
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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
2019
IEEE Access
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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
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