Dynamic Logic for Plan Revision in Intelligent Agents

Aim. The use of intelligent agents in modeling an integrated information system of transport logistics makes it possible to achieve a qualitatively new level of design of control systems in supply chains. Materials and methods. The article presents an original approach that implements the possibilities of using multi-agent technologies in the interests of modeling the processes of functioning of an integrated information system of transport logistics. It is shown that the multi-agent infrastructure is actually a semantic shell of the information system, refl ecting the rules of doing business and the interaction of its participants in the supply chains. The characteristic of the model of the class of an intelligent agent, which is basic for solving problems of management of transport and technological processes, is given. Results. The procedures of functioning of the model of integration of information resources of the participants of the transport services market on the basis of intelligent agents are considered. The presented procedures provide a wide range of network interaction operations in supply chains, including traffi c and network structure “fl exible” control, mutual exchange of content and service information, as well as their distributed processing, and information security. Conclusions. The proposed approach showed that the use of intelligent agents in modeling the functioning of an integrated information system makes it possible to take into account the peculiarities of transport and technological processes in supply chains, such as the integration of heterogeneous enterprises, their distributed organization, an open dynamic structure, standardization of products, interfaces and protocols.

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Low Power Wide Fan-in Domino OR Gate Using CN-MOSFETs

International Journal of Sensors Wireless Communications and Control ◽

10.2174/2210327909666190207163639 ◽

2020 ◽

Vol 10 (1) ◽

pp. 55-62

Author(s):

Deepika Bansal ◽

Bal Chand Nagar ◽

Brahamdeo Prasad Singh ◽

Ajay Kumar

Keyword(s):

Power Consumption ◽

High Performance ◽

Dynamic Logic ◽

Clock Frequency ◽

Charge Sharing ◽

Benchmark Circuit ◽

Domino Circuit ◽

Power Delay Product ◽

Domino Circuits ◽

Or Gate

Background & Objective: In this paper, a modified pseudo domino configuration has been proposed to improve the leakage power consumption and Power Delay Product (PDP) of dynamic logic using Carbon Nanotube MOSFETs (CN-MOSFETs). The simulations for proposed and published domino circuits are verified by using Synopsys HSPICE simulator with 32nm CN-MOSFET technology which is provided by Stanford. Methods: The simulation results of the proposed technique are validated for improvement of wide fan-in domino OR gate as a benchmark circuit at 500 MHz clock frequency. Results: The proposed configuration is suitable for cascading of the high performance wide fan-in circuits without any charge sharing. Conclusion: The performance analysis of 8-input OR gate demonstrate that the proposed circuit provides lower static and dynamic power consumption up to 62 and 40% respectively, and PDP improvement is 60% as compared to standard domino circuit.

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Toward a Self-Adaptive Cyberdefense Framework in Organization

SAGE Open ◽

10.1177/2158244020988855 ◽

2021 ◽

Vol 11 (1) ◽

pp. 215824402098885

Author(s):

Kuan-Jui Huang ◽

Kuo-Huie Chiang

Keyword(s):

Information System ◽

Organizational Learning ◽

Intelligent Agents ◽

Coordination Mechanism ◽

Learning Effects ◽

Adaptive Model ◽

Dynamic Propagation ◽

The Future ◽

Adaptive Framework ◽

Self Adaptive

Organizations suffer more than ever from the inability to securely manage the information system, despite their myriad efforts. By introducing a real cyberattack of a bank, this research analyzes the characteristics of modern cyberattacks and simulates the dynamic propagation that makes them difficult to manage. It develops a self-adaptive framework that through simulation, distinctly improves cyberdefense efficiency. The results illustrate the discrepancies of the previous studies and validate the use of a time-based self-adaptive model for cybersecurity management. The results further show the significance of human and organizational learning effects and a coordination mechanism in obtaining a highly dependable cyberdefense setting. This study also provides an illuminating analysis for humans to position themselves in the collaborations with increasingly intelligent agents in the future.

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Genetic network programming - application to intelligent agents

SMC 2000 Conference Proceedings. 2000 IEEE International Conference on Systems, Man and Cybernetics. 'Cybernetics Evolving to Systems, Humans, Organizations, and their Complex Interactions' (Cat. No.00CH37166) ◽

10.1109/icsmc.2000.886607 ◽

2002 ◽

Cited By ~ 48

Author(s):

H. Katagiri ◽

K. Hirasama ◽

J. Hu

Keyword(s):

Intelligent Agents ◽

Genetic Network ◽

Network Programming ◽

Genetic Network Programming

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Industry foresight with intelligent agents

Human Systems Management ◽

10.3233/hsm-2000-19304 ◽

2000 ◽

Vol 19 (3) ◽

pp. 169-180

Author(s):

Pirkko Walden ◽

Christer Carlsson ◽

Shuhua Liu

Keyword(s):

Support System ◽

Intelligent Agents ◽

Business Environment ◽

Data Sources ◽

Modern Time ◽

First Approximation ◽

Quality And Reliability ◽

Java Platform ◽

Active Scanning

Modern time managers have access to many more data sources than managers of earlier times, and better instruments and resources to deal with large amounts of data. In principle, this means that they have a better command of facts and should be able to work out better assessments of their business environment. In reality, however, information overflow and problems with the quality and reliability of information complicate the picture. We have a support system with intelligent agents to help managers conduct constantly active scanning and interpretation activities with hundreds of data sources. The system was built on a Java platform and has been enhanced and developed in several versions. The first implementation was at the Alko Group (the producers of the Finlandia vodka). The system is expected to provide mangers with a broad and comprehensive first approximation of environmental trends and events as needed, and will help them extract useful information from large volumes of data. (Originally presented at the ISDSS’99 Conference, Melbourne, July 19–22, 1999.)

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