Formalized analysis of structural characteristics of large complex systems

@article{Tianfield2001FormalizedAO,
  title={Formalized analysis of structural characteristics of large complex systems},
  author={Huaglory Tianfield},
  journal={IEEE Trans. Syst. Man Cybern. Part A},
  year={2001},
  volume={31},
  pages={559-572}
}
  • H. Tianfield
  • Published 1 November 2001
  • Computer Science
  • IEEE Trans. Syst. Man Cybern. Part A
Macrostructural modelization is paramount to the development of large complex systems (LCS). The paper explores the macrostructural modelization of LCS in terms of a block diagram based model and a grammar based model. Firstly, the macrostructural modelization problem of LCS is formulated. Secondly, a block diagram based model is proposed and established for LCS. Specifically, two general-purpose information-processing modules are proposed and constructed, called perception cube and decision… 
View via Publisher
clouda.voterlab.org.uk
14 Citations
Background Citations
9
Methods Citations
2

14 Citations

Metasynthesis: M-Space, M-Interaction, and M-Computing for Open Complex Giant Systems
TLDR
The theoretical framework, problem-solving process, social cognitive evolution, intelligence emergence, and pitfalls of certain types of cognitions in developing M-Space and M-Interaction are discussed from the perspectives of cognitive sciences and social cognitive interaction to help one understand complex systems and develop effective problem-Solving methodologies.
Some Reflections on Intelligent Control
  • H. Tianfield
  • Computer Science
    Artificial Intelligence Review
  • 2004
TLDR
This paper takes a problem-dependent view, which is advantageous over a model-dependent one, and presents a systematic study on the various works under the term intelligent control, and particularly their profound implications.
On the Architectures of Complex Multi-Agent Systems
TLDR
This paper presents a literature review on the architectures of complex multi-agent systems in terms of control oriented and role oriented architectures and a novel autonomic architecture is put forward.
SUPERVISORY FCM SIMULATION IN TUNNEL CONSTRUCTION
This paper presents a Fuzzy Cognitive Map (FCM) approach for controlling the Tunnel Boring Machine (TBM) operation in tunnel construction. The fuzzy logic based approach is used to capture the…
Modeling complex systems using fuzzy cognitive maps
  • C. StyliosP. Groumpos
  • Computer Science
    IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans
  • 2004
TLDR
A mathematical description ofFCM is presented and a new methodology based on fuzzy logic techniques for developing the FCM is examined, and the applicability of FCM to model the supervisor of complex systems is discussed.
Combined Scheduling Criteria Approach for Semiconductor Wafer Fabrication System Based on Fuzzy Cognitive Maps
TLDR
The proposed application of fuzzy cognitive map concept on the scheduling of wafer fabrication system scheduling is certified as a practical and useful way to realize the real-time scheduling optimization.
A Study on the Multi-agent Approach to Large Complex Systems
TLDR
This paper explores the multi-agent approach to large complex systems by analyzing self-organization of multi- agent systems and distinctive features of this approach are summarized.
An Autonomic Computing Architecture for Self-* Web Services
TLDR
This paper proposes an autonomic computing approach for Web services’ self-adaptation, that is, systems that have self-* properties and an agent-based approach is also proposed to deal with the achievement of Web services self- Adaptation.
Towards autonomic computing systems
Multi-agent based autonomic architecture for network management
  • H. Tianfield
  • Computer Science
    IEEE International Conference on Industrial Informatics, 2003. INDIN 2003. Proceedings.
  • 2003
TLDR
The basic concept and principle of autonomic computing are presented, an architecture is proposed for autonomic Computing systems, and design issues of a multiagent autonomic architecture for network management are presented.
...
...

References

SHOWING 1-10 OF 54 REFERENCES
Structuring of Large-scale Complex Hybrid Systems: from Illustrative Analysis toward Modelization
TLDR
This paper investigates the structuring of LCHS based on a wide variety of applications and proposes a novel block diagram based model, originally proposed and established forLCHS, for general-purpose information-processing modules.
Linguistic Decision Structures for Hierarchical Systems
The development of a new hierarchical linguistic-based learning control structure for complex systems is described. The complete system will be able to interact with a human operator in a high-level…
A Boltzmann machine for the organization of intelligent machines
TLDR
The focus is on the design of the organization level of the intelligent machine as a Boltzmann machine, as described in current neural network literature, which is formulated as the construction of the right sequence of tasks or events that minimizes the entropy for the desired action.
Analytical design of intelligent machines
Analytic formulation of the principle of increasing precision with decreasing intelligence for intelligent machines
A Petri-net coordination model for an intelligent mobile robot
The authors present a Petri-net model of the coordination level of an intelligent mobile robot system (IMRS). The purpose of this model is to specify the integration of the individual efforts on path…
Enterprise Federation and Its Multi-agent Modelization
TLDR
This chapter makes thorough investigation into life-cycle organization of enterprise federation, with a distinctive taxonomy of enterprise partnerships presented.
Modeling and Control of Hybrid Systems: A Survey
Hierarchical control of timed discrete-event systems
An abstract hierarchical control theory is developed for a class of timed discrete-event systems (TDES) within the discrete-event control architectural framework proposed earlier by the authors. For…
Theoretical foundations of planning and navigation for autonomous robots
TLDR
The theoretical foundations of planning and navigation systems and processes are outlined in a form applicable for autonomous robotics and a concept of hierarchical nested knowledge‐based controller is employed which enables optimum control using nested dynamic programming.
...
...