An Approach based on New Coordination Mechanisms to Improve the Teamwork of Cooperative Intelligent Agents

2006 ◽  
Author(s):  
Salvador M. Ibarra ◽  
Christian G. Quintero ◽  
Josep Ll. De La Rosa ◽  
Jose A. R. Castan
Keyword(s):  
Intelligent Agents ◽  
Coordination Mechanisms

INTELLIGENT MULTIAGENT COORDINATION BASED ON REINFORCEMENT HIERARCHICAL NEURO-FUZZY MODELS

2014 ◽  
Vol 24 (08) ◽  
pp. 1450031 ◽  
Author(s):  
LEONARDO FORERO MENDOZA ◽  
MARLEY VELLASCO ◽  
KARLA FIGUEIREDO
Keyword(s):  
Reinforcement Learning ◽  
Intelligent Agents ◽  
Fuzzy Model ◽  
Coordination Mechanism ◽  
Coordination Mechanisms ◽  
Multiagent Coordination ◽  
Fuzzy Models ◽  
Neuro Fuzzy ◽  
Multiagent Reinforcement Learning ◽  
Market Driven

This paper presents the research and development of two hybrid neuro-fuzzy models for the hierarchical coordination of multiple intelligent agents. The main objective of the models is to have multiple agents interact intelligently with each other in complex systems. We developed two new models of coordination for intelligent multiagent systems, which integrates the Reinforcement Learning Hierarchical Neuro-Fuzzy model with two proposed coordination mechanisms: the MultiAgent Reinforcement Learning Hierarchical Neuro-Fuzzy with a market-driven coordination mechanism (MA-RL-HNFP-MD) and the MultiAgent Reinforcement Learning Hierarchical Neuro-Fuzzy with graph coordination (MA-RL-HNFP-CG). In order to evaluate the proposed models and verify the contribution of the proposed coordination mechanisms, two multiagent benchmark applications were developed: the pursuit game and the robot soccer simulation. The results obtained demonstrated that the proposed coordination mechanisms greatly improve the performance of the multiagent system when compared with other strategies.

The use of intelligent agents in modeling an integrated information system of transport logistics

2020 ◽  
Vol 5 ◽  
pp. 59-66
Author(s):  
Y.M. Iskanderov ◽  
Keyword(s):  
Information System ◽  
Supply Chains ◽  
Intelligent Agents ◽  
Technological Processes ◽  
Transport Services ◽  
Wide Range ◽  
Integrated Information System ◽  
Multi Agent ◽  
Transport Logistics ◽  
Integrated Information

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.

Water Management by Farmers

2018 ◽  
pp. 796-813
Author(s):  
Laurence Smith
Keyword(s):  
Water Management ◽  
Decision Making ◽  
Stakeholder Participation ◽  
Coordination Mechanisms ◽  
Policy Mix ◽  
The Public ◽  
Multifunctional Land Use ◽  
Resource Managers ◽  
Policy Challenge ◽  
Communication And Coordination

Analyzing the public policy challenge of multifunctional land use, for which farmers are required to be food producers, water resource managers and environmental stewards, it is argued that a location-sensitive policy mix is required, consisting of appropriate regulation complemented by advice provision, voluntarism, and well-targeted incentive schemes. The case is further made for adaptive management, local deliberation and stakeholder participation, and hence for governance that is open, delegated, and collaborative. Assessment, planning, and decision making need to be delegated to the most appropriate governmental level and spatial scale to achieve desired outcomes, whilst effective mechanisms for vertical and horizontal coordination of the resulting multilevel and polycentric governance are essential. Hydrographic catchments have significant advantages as spatial units for analysis, planning, coordination, and policy delivery. However, catchment-based working creates further need for cross-level, sector, and scale communication and coordination. Mechanisms for this merit further attention.

scholarly journals Toward a Self-Adaptive Cyberdefense Framework in Organization

SAGE Open ◽  
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.

Industry foresight with intelligent agents

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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