INNOVATION AND SELF-ORGANIZATION IN A MULTI-AGENT MODEL

2009 ◽  
Vol 12 (02) ◽  
pp. 233-253 ◽  
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.

scholarly journals A Novel Multi-Agent Model for Robustness with Component Failure and Malware Propagation in Wireless Sensor Networks

Sensors ◽  
2021 ◽  
Vol 21 (14) ◽  
pp. 4873
Author(s):  
Biao Xu ◽  
Minyan Lu ◽  
Hong Zhang ◽  
Cong Pan
Keyword(s):  
Wireless Sensor ◽  
Component Reliability ◽  
Agent Based ◽  
Agent Model ◽  
Cross Domain ◽  
Malware Propagation ◽  
Network Topologies ◽  
Multi Agent ◽  
Agent Characteristics ◽  
Information Domain

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.

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

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.

scholarly journals Cooperation Design System Based on Mobile-C Agent Platform

2011 ◽  
Vol 1 ◽  
pp. 16-20
Author(s):  
Bo Yu ◽  
Zi Xian Zhang ◽  
Yi Xiong Feng ◽  
Luis Ariel Diago ◽  
Ichiro Hagiwara
Keyword(s):  
Distributed Systems ◽  
Industrial Applications ◽  
Self Organization ◽  
Design System ◽  
Multi Agent System ◽  
Effective Mechanism ◽  
Agent Based ◽  
Agent Platform ◽  
The Past ◽  
Multi Agent

Over the past decades, Distributed Systems (DS) have been adopted for industrial applications to improve the system efficiency because distributed architecture has advantages in resource utilization, fault toleration .etc. Multi-Agent System (MAS) arises from combination of the theories of artificial intelligence and distributed systems. One character of MAS is their self-organization, so how to implement an effective mechanism for self-organization of agents is important to a MAS system, this paper describes the design and implementation of a Mobile-C based agent management system, in which Mobile-C was adopted as the implementation platform, and this paper also described an agent-based cooperative design application using this system to manage all the agents involved.

Multi-Agent Based Simulation Model for Rail Transit Evacuation Process

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.

AGENT BASED DATA STORAGE AND DISTRIBUTION IN DATA WAREHOUSES

2008 ◽  
Vol 18 (05) ◽  
pp. 597-617 ◽  
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.

Multi-Agent Based Modeling Simulation about VANET

2013 ◽  
Vol 760-762 ◽  
pp. 680-684
Author(s):  
Shan Shan Wan ◽  
Dong Liang Wang ◽  
Qing Cao
Keyword(s):  
Ad Hoc Network ◽  
Ad Hoc ◽  
Agent Based Modeling ◽  
Emergent Behavior ◽  
Self Organization ◽  
Working Mechanism ◽  
Agent Based ◽  
Modeling Simulation ◽  
Large Numbers ◽  
Multi Agent

The self-organization characteristics and the interaction between a large numbers of self-organizing vehicles are complexity, to obtain a more accurate model of vehicular Ad-hoc network (VANET) and obtain a more profound comprehension of the complex behavior working mechanism of the vehicle in the VANET environment multi-agent based and bottom-up modeling approach is proposed here. It aims to describe the dynamics of VANET caused by the different behaviors of vehicular. The simulation tool for vehicular misbehaviors is developed with multi-agent. It aims to and be able to effectively reproduce the real VANET scene. Though the multi-agent based modeling the emergent behavior and sudden existing behaviors of VANET entities are well reflected.

MAITS

2011 ◽  
pp. 189-208 ◽  
Author(s):  
Dharmendra Sharma
Keyword(s):  
Machine Learning ◽  
Decision Making ◽  
Learning Algorithm ◽  
Computer Forensics ◽  
The Other ◽  
Security Requirements ◽  
Machine Learning Algorithm ◽  
Agent Based ◽  
Authentication And Authorization ◽  
Multi Agent

In this chapter, we propose a multi-agent-based information technology (IT) security approach (MAITS) as a holistic solution to the increasing needs of securing computer systems. Each specialist task for security requirements is modeled as a specialist agent. MAITS has five groups of working agents—administration assistant agents, authentication and authorization agents, system log *monitoring agents, intrusion detection agents, and pre-mortem-based computer forensics agents. An assessment center, which is comprised of yet another special group of agents, plays a key role in coordinating the interaction of the other agents. Each agent has an agent engine of an appropriate machine-learning algorithm. The engine enables the agent with learning, reasoning, and decision-making abilities. Each agent also has an agent interface, through which the agent interacts with other agents and also the environment.

scholarly journals Towards an argument interchange format

2006 ◽  
Vol 21 (4) ◽  
pp. 293-316 ◽  
Author(s):  
CARLOS CHESÑEVAR ◽  
MCGINNIS ◽  
SANJAY MODGIL ◽  
IYAD RAHWAN ◽  
CHRIS REED ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Abstract Model ◽  
Multi Agent Systems ◽  
Case Scenario ◽  
Major Barrier ◽  
Current Form ◽  
Agent Based ◽  
Starting Point ◽  
Multi Agent ◽  
Interchange Format

The theory of argumentation is a rich, interdisciplinary area of research straddling the fields of artificial intelligence, philosophy, communication studies, linguistics and psychology. In the last few years, significant progress has been made in understanding the theoretical properties of different argumentation logics. However, one major barrier to the development and practical deployment of argumentation systems is the lack of a shared, agreed notation or ‘interchange format’ for argumentation and arguments. In this paper, we describe a draft specification for an argument interchange format (AIF) intended for representation and exchange of data between various argumentation tools and agent-based applications. It represents a consensus ‘abstract model’ established by researchers across fields of argumentation, artificial intelligence and multi-agent systems. In its current form, this specification is intended as a starting point for further discussion and elaboration by the community, rather than an attempt at a definitive, all-encompassing model. However, to demonstrate proof of concept, a use case scenario is briefly described. Moreover, three concrete realizations or ‘reifications’ of the abstract model are illustrated.

Evolutionary Design of Cellular Self-Organizing Systems

2013 ◽  
Author(s):  
James Humann ◽  
Yan Jin
Keyword(s):  
Fitness Function ◽  
Emergent Behavior ◽  
Local Interaction ◽  
System Level ◽  
Self Organization ◽  
Agent Based ◽  
Simple Set ◽  
Central Controller ◽  
Multi Agent ◽  
Self Organizing

In this paper, a genetic algorithm (GA) is used to discover interaction rules for a cellular self-organizing (CSO) system. The CSO system is a group of autonomous, independent agents that perform tasks through self-organization without any central controller. The agents have a local neighborhood of sensing and react only to other agents within this neighborhood. Their interaction rules are a simple set of direction vectors based on a flocking model. The five local interaction rules are assigned relative weights, and the agents self-organize to display some emergent behavior at the system level. The engineering challenge is to identify which sets of local rules will cause certain desired global behaviors. The global required behaviors of the system, such as flocking or exploration, are translated into a fitness function that can be evaluated at the end of a multi-agent based simulation run. The GA works by tuning the relative weights of the local interaction rules so that the desired global behavior emerges, judged by the fitness function. The GA approach is shown to be successful in tuning the weights of these interaction rules on simulated CSO systems, and, in some cases, the GA actually evolved qualitatively different local interaction “strategies” that displayed equivalent emergent capabilities.

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