An Ontology Driven, Procedural Reasoning System-Like Agent Model, For Multi-Agent Based Mobile Workforce Brokering Systems

A wireless sensor network (WSN) is a group of sensors connected with a wireless communications infrastructure designed to monitor and send collected data to the primary server. The WSN is the cornerstone of the Internet of Things (IoT) and Industry 4.0. Robustness is an essential characteristic of WSN that enables reliable functionalities to end customers. However, existing approaches primarily focus on component reliability and malware propagation, while the robustness and security of cascading failures between the physical domain and the information domain are usually ignored. This paper proposes a cross-domain agent-based model to analyze the connectivity robustness of a system in the malware propagation process. The agent characteristics and transition rules are also described in detail. To verify the practicality of the model, three scenarios based on different network topologies are proposed. Finally, the robustness of the scenarios and the topologies are discussed.

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A Study on the Agent-Based Vehicles Dispatching Optimization at Container Terminals

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.241-244.1745 ◽

2012 ◽

Vol 241-244 ◽

pp. 1745-1750

Author(s):

Nan Nan Yan ◽

Di Zheng

Keyword(s):

Decision Support ◽

Analytic Hierarchy Process ◽

Container Terminal ◽

Container Terminals ◽

Analytic Hierarchy ◽

Agent Based ◽

Agent Model ◽

Contract Net ◽

Multi Agent ◽

Hierarchy Process

This paper mainly concentrated on the method of improving the dispatching trucks working at a container terminal and built the multi-agent model for the dispatching job. The contract net protocol was taken as the communication ones among agents, and the analytic hierarchy process was also applied for the decision support for container trucks dispatching.

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Multi-Agent Based Simulation Model for Rail Transit Evacuation Process

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.1030-1032.2044 ◽

2014 ◽

Vol 1030-1032 ◽

pp. 2044-2049

Author(s):

Can Can Zhao ◽

Xiao Hong Guo ◽

Juxihong Julaiti ◽

Jie Wang

Keyword(s):

Simulation Model ◽

Rail Transit ◽

Evacuation Simulation ◽

Transit System ◽

Agent Based ◽

Agent Model ◽

Agent Simulation ◽

Multi Agent ◽

The Military ◽

Specific Definition

In order to analyze the evacuation behaviors and optimize evacuation strategies for rail transit system, an evacuation agent centered simulation model was proposed. Firstly, by considering the attributes, status and decision-making behaviors of evacuation personnel, the evacuation agent model was established, and the running principle as well as construction process of multi-agent simulation model was discussed. Then, the specific definition and design for the agent attributes and evacuation behavior protocol were provided. Finally, based on the simulation model proposed, an evacuation simulation platform for the military museum station of Beijing subway line 9 was established by using REPAST and JAVA, several evacuation strategies were tested and optimized.

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AGENT BASED DATA STORAGE AND DISTRIBUTION IN DATA WAREHOUSES

International Journal of Software Engineering and Knowledge Engineering ◽

10.1142/s0218194008003842 ◽

2008 ◽

Vol 18 (05) ◽

pp. 597-617 ◽

Cited By ~ 1

Author(s):

NADER KOLSI ◽

ABDELAZIZ ABDELLATIF ◽

KHALED GHEDIRA

Keyword(s):

Data Warehouse ◽

Data Storage ◽

Data Distribution ◽

Distributed Data ◽

Agent Based ◽

Agent Model ◽

Capacity Limit ◽

Processing Resources ◽

Multi Agent ◽

Distributed Data Warehouse

The data warehouse (DWH) is usually presented as a centralized database. In this paper, we propose a new approach to manage data storage and distribution in a data warehouse environment. This approach deals with the dynamic data distribution of the DWH on a set of servers. The data distribution that we consider is different from the "classical" one which depends on the data use. The distribution in our approach consists in distributing data when the server reaches its storage capacity limit. This distribution assures the scalability and exploits the storage and processing resources available in the organization using the data warehouse. It is worth noting that our approach is based on a multi-agent model mixed with the scalability distribution proposed by the Scalable Distributed Data Structures. The proposed multi-agent model is composed of stationary agent classes: Client, Dispatcher, Domain and Server, and a mobile agent class called Messenger. These agents collaborate and interact to achieve automatically the storage, the splitting (distribution), the redirection and the access operations on the distributed data warehouse. In this paper, we demonstrate the improvements obtained when we have used the multi-agent system and the Messenger agents in the data storage operation.

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INNOVATION AND SELF-ORGANIZATION IN A MULTI-AGENT MODEL

Advances in Complex Systems ◽

10.1142/s0219525909002180 ◽

2009 ◽

Vol 12 (02) ◽

pp. 233-253 ◽

Cited By ~ 9

Author(s):

TANYA ARAÚJO ◽

R. VILELA MENDES

Keyword(s):

Utility Function ◽

The Other ◽

Self Organization ◽

Abstract Model ◽

Agent Based ◽

Agent Model ◽

Multi Agent

A model is developed to study the effectiveness of innovation and its impact on structure creation on agent-based societies. The abstract model that is developed is easily adapted to any particular field. In an interacting environment, the agents receive something from the environment (the other agents) in exchange for their effort and pay the environment a certain amount of value for the fulfilling of their needs or for the very price of existence in that environment. This is coded by two bit strings and the dynamics of the exchange is based on the matching of these strings to those of the other agents. Innovation is related to the adaptation by the agents of their bit strings to improve some utility function.

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TRASS

Multi-Agent Systems for Traffic and Transportation Engineering - Advances in Mechatronics and Mechanical Engineering ◽

10.4018/978-1-60566-226-8.ch004 ◽

2009 ◽

pp. 79-107 ◽

Cited By ~ 5

Author(s):

Ulf Lotzmann

Keyword(s):

Traffic Simulation ◽

Simulation Approach ◽

Shopping Malls ◽

Simulation Framework ◽

Agent Based ◽

Agent Model ◽

Layered Architecture ◽

Artificial Environment ◽

Agent Simulation ◽

Multi Agent

In this chapter an agent-based traffic simulation approach is presented which sees agents as individual traffic participants moving in an artificial environment. There is no restriction on types of players, such as car drivers or pedestrians. A concept is introduced which is appropriate to model different kinds of traffic participants and to have them interact with each other in one single scenario. The scenario may not only include roads, but also stadiums, shopping malls and any other situations where pedestrians or vehicles of any kind move around. Core theme of the chapter is an agent model that is founded on a layered architecture. Experiences with implementation and usage of the agent model within the universal multi-agent simulation framework TRASS will be explained by means of several application examples which also support discussion about validation of concept and implementation.

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Review of Agent Based Modelling of Social Attachment in Crisis Situations

International Journal of Information Systems for Crisis Response and Management ◽

10.4018/ijiscram.2019010103 ◽

2019 ◽

Vol 11 (1) ◽

pp. 35-64 ◽

Cited By ~ 1

Author(s):

Julius M Bañgate ◽

Julie Dugdale ◽

Elise Beck ◽

Carole Adam

Keyword(s):

Attachment Theory ◽

Human Behaviour ◽

Agent Architecture ◽

Agent Based Models ◽

Agent Based ◽

Agent Model ◽

Agent Based Modelling ◽

Social Attachment ◽

Bdi Agent ◽

Multi Agent

Human behaviour during crisis evacuations is social in nature. In particular, social attachment theory posits that proximity of familiar people, places, objects, etc., promotes calm and a feeling of safety, while their absence triggers panic or flight. In closely bonded groups such as families, members seek each other and evacuate as one. This makes attachment bonds necessary in the development of realistic models of mobility during crises. This article presents a review of evacuation behaviour, theories on social attachment, crisis mobility, and agent-based models. It was found that social attachment influences mobility in the different stages of evacuation (pre, during and post). Based on these findings, a multi-agent model of mobility during seismic crises (SOLACE) is being developed, and it is implemented using the belief, desire and intention (BDI) agent architecture.

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CIUCEU

International Journal of Agent Technologies and Systems ◽

10.4018/jats.2009071003 ◽

2009 ◽

Vol 1 (4) ◽

pp. 30-48

Author(s):

David Rodrigues

Keyword(s):

Communication Network ◽

Network Formation ◽

Real Data ◽

Informal Communication ◽

University Environment ◽

Agent Based ◽

Agent Model ◽

Detection Techniques ◽

Multi Agent ◽

Full Knowledge

In this article, a study on informal communication network formation in a university environment is presented. The teacher communication network is analyzed through community detection techniques. It is evident that informal communication is an important process that traverses the vertical hierarchical structure of departments and courses in a university environment. A multi-agent model of the case study is presented here, showing the implications of using real data as training sets for multi-agent-based simulations. The influence of the “social neighborhood,” as a mechanism to create assortative networks of contacts without full knowledge of the network, is discussed. It is shown that the radius of this social neighborhood has an effect on the outcome of the network structure and that in a university’s case this distance is relatively small.

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SHOULD THE GOVERNMENT REWARD COOPERATION? INSIGHTS FROM AN AGENT-BASED MODEL OF WEALTH REDISTRIBUTION

Advances in Complex Systems ◽

10.1142/s0219525920500186 ◽

2021 ◽

pp. 2050018

Author(s):

FRANK SCHWEITZER ◽

LUCA VERGINER ◽

GIACOMO VACCARIO

Keyword(s):

Payoff Matrix ◽

Time Step ◽

Tax Rate ◽

Agent Based ◽

Agent Model ◽

Administrative Costs ◽

Cooperative Agents ◽

Medium Level ◽

Multi Agent ◽

The Government

In our multi-agent model, agents generate wealth from repeated interactions for which a prisoner’s dilemma payoff matrix is assumed. Their gains are taxed by a government at a rate [Formula: see text]. The resulting budget is spent to cover administrative costs and to pay a bonus to cooperative agents, which can be identified correctly only with a probability [Formula: see text]. Agents decide at each time step to choose either cooperation or defection based on different information. In the local scenario, they compare their potential gains from both strategies. In the global scenario, they compare the gains of the cooperative and defective subpopulations. We derive analytical expressions for the critical bonus needed to make cooperation as attractive as defection. We show that for the local scenario the government can establish only a medium level of cooperation because the critical bonus increases with the level of cooperation. In the global scenario, instead full cooperation can be achieved once the cold-start problem is solved because the critical bonus decreases with the level of cooperation. This allows to lower the tax rate, while maintaining high cooperation.

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