BDI Approach to Build a Single Agent of a Distributed Multi-Agent System

2018 ◽  
pp. 24-49
Author(s):  
Maryam Ebrahimi
Keyword(s):  
Swot Analysis ◽  
Planning Process ◽  
Single Agent ◽  
Defensive Strategy ◽  
Diversification Strategy ◽  
Agent Based ◽  
Autonomous Action ◽  
System Validation ◽  
Multi Agent ◽  
Technology Strategies

The main purpose of this study is to describe and analyze an agent from a distributed multi-agent based system (ABS) according to the BDI architecture. This agent is capable of autonomous action to propose general technology strategies (TSs) in renewable energy SMEs based on a set of rules and interacts with a core agent in multi ABS. The recognition of internal strengths and weaknesses as well as external opportunities and threats takes place on the basis of technological SWOT-analysis. Proposed TSs are categorized into four types: aggressive strategy, turnaround oriented strategy, diversification strategy, and defensive strategy. Agent architecture in terms of three abstraction layers called psychological, theoretical, and implementation is explained. And after system validation by experts, some program codes and output results of this agent are presented. This system provides information to facilitate the TS planning process to be carried out effectively.

Intelligent Agents in a Trust Environment

2002 ◽  
pp. 98-108
Author(s):  
Rahul Singh ◽  
Mark A. Gill
Keyword(s):  
Distributed System ◽  
Intelligent Agents ◽  
Single Agent ◽  
Intelligent Agent ◽  
The Internet ◽  
Commercial Activity ◽  
Agent Based ◽  
Trust Relationships ◽  
Multi Agent ◽  
Oriented Activity

Intelligent agents and multi-agent technologies are an emerging technology in computing and communications that hold much promise for a wide variety of applications in Information Technology. Agent-based systems range from the simple, single agent system performing tasks such as email filtering, to a very complex, distributed system of multiple agents each involved in individual and system wide goal-oriented activity. With the tremendous growth in the Internet and Internet-based computing and the explosion of commercial activity on the Internet in recent years, intelligent agent-based systems are being applied in a wide variety of electronic commerce applications. In order to be able to act autonomously in a market environment, agents must be able to establish and maintain trust relationships. Without trust, commerce will not take place. This research extends previous work in intelligent agents to include a mechanism for handling the trust relationship and shows how agents can be fully used as intermediaries in commerce.

A survey on agent learning architecture that adopts internet of things and wireless sensor networks

2020 ◽  
pp. 2030002
Author(s):  
T. Joshva Devadas
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Internet Of Things ◽  
Swot Analysis ◽  
Wireless Sensor ◽  
Agent Architectures ◽  
Agent Based ◽  
Intelligent Software ◽  
Agent Learning ◽  
Multi Agent

Trustworthy and reliable applications built using intelligent software agents aim to provide improved performance using its characteristics. Agents introduced in various architectures represent its functionality as functional elements of the architecture and shows the interaction between other components present in the architecture. The Internet of things (IoT) reveals as a frequent technology that allows accessing the physical objects present in the world. IoT systems utilize wireless sensor network to transmit and receive data by establishing communication. Wireless Sensor Networks transmits digital signals to the cyber-world for analyzing and processing the information into useful data by either formulating or communicating with the intelligent and innovative system. While talking about IoT and WSN, agents introduced in such environments assist in making decisions quickly by perceiving the input from the environment. The number of agents needed for an application depends upon the complexity of the problem. Multi-Agent architectures discussed in the article describe their association, roles, functionality and interaction. This paper gives a detailed survey of various agent/multi-agent learning architectures introduced over IoT and WSN. Moreover, this survey with the performance and the SWOT analysis on the Agent-based learning architecture helps the reader and paves a way to pursue research on Agent-based architectural deployment over IoT and WSN paradigms.

scholarly journals Multi-Agent Reinforcement Learning Approach for Residential Microgrid Energy Scheduling

Energies ◽  
2019 ◽  
Vol 13 (1) ◽  
pp. 123 ◽  
Author(s):  
Xiaohan Fang ◽  
Jinkuan Wang ◽  
Guanru Song ◽  
Yinghua Han ◽  
Qiang Zhao ◽  
...  
Keyword(s):  
Reinforcement Learning ◽  
Single Agent ◽  
New Paradigm ◽  
Agent Based ◽  
Vehicle To Grid ◽  
Market Participants ◽  
Home Energy Management ◽  
Market Operation ◽  
Multi Agent ◽  
Home Energy Management System

Residential microgrid is widely considered as a new paradigm of the home energy management system. The complexity of Microgrid Energy Scheduling (MES) is increasing with the integration of Electric Vehicles (EVs) and Renewable Generations (RGs). Moreover, it is challenging to determine optimal scheduling strategies to guarantee the efficiency of the microgrid market and to balance all market participants’ benefits. In this paper, a Multi-Agent Reinforcement Learning (MARL) approach for residential MES is proposed to promote the autonomy and fairness of microgrid market operation. First, a multi-agent based residential microgrid model including Vehicle-to-Grid (V2G) and RGs is constructed and an auction-based microgrid market is built. Then, distinguish from Single-Agent Reinforcement Learning (SARL), MARL can achieve distributed autonomous learning for each agent and realize the equilibrium of all agents’ benefits, therefore, we formulate an equilibrium-based MARL framework according to each participant’ market orientation. Finally, to guarantee the fairness and privacy of the MARL process, we proposed an improved optimal Equilibrium Selection-MARL (ES-MARL) algorithm based on two mechanisms, private negotiation and maximum average reward. Simulation results demonstrate the overall performance and efficiency of proposed MARL are superior to that of SARL. Besides, it is verified that the improved ES-MARL can get higher average profit to balance all agents.

scholarly journals Pembangunan Teknologi Informasi dan Komunikasi (TIK) dalam Menunjang Program Kerja

2013 ◽  
Vol 16 (2) ◽  
pp. 189-204 ◽  
Author(s):  
Didit Praditya
Keyword(s):  
Information Technology ◽  
Human Resources ◽  
Swot Analysis ◽  
Regional Government ◽  
Defensive Strategy ◽  
Diversification Strategy ◽  
West Java ◽  
Development Data ◽  
Ict Development ◽  
Communication And Information Technology

The growth of ICT are influential the Subang regional government in order to optimally use ICT in their region. These changes cause the Subang regional government have to do more development in ICT sector through the programs implemented. The research was conducted to identify the issues surrounding the development of ICT (communication and information technology) based on programs of the authorized institution in ICT (Diskominfo) in a city/regency in the Province of West Java, this research use a SWOT analysis to assess the programs. The problem is how the strengths, weaknesses, opportunities, and threats of ICT development Kominfo sector in Subang Regency, West Java through programs performed by Diskominfo Kabupaten Subang. The aim is to analyze the strengths, weaknesses, opportunities, and threats of ICT development. Data was collected through observation and interviews. The result shows, based on the missions performed by Diskominfo Kabupaten Subang, in general there are some internal weaknesses: related to human resources, facilities, budget, and the lack of standardization in communications and information technology. While the internal strengths are: the availability of adequate human resources, sufficient infrastructure, sufficient budget, a clear work program, and the UPT as a technical implementation. The strategy needs to be done to improve mission implementation of Diskominfo Kabupaten Subang is suggested that organization implemented changes or defensive strategy, rather than pursuing an aggressive or diversification strategy.

A Multi-agent based Micro Grid Operation Method

2013 ◽  
Vol 133 (9) ◽  
pp. 1652-1657 ◽  
Author(s):  
Takeshi Nagata ◽  
Kosuke Kato ◽  
Masahiro Utatani ◽  
Yuji Ueda ◽  
Kazuya Okamoto ◽  
...  
Keyword(s):  
Agent Based ◽  
Operation Method ◽  
Multi Agent ◽  
Micro Grid ◽  
Grid Operation

Browser Security Attacks and Detection Techniques: A Case of Tabnabbing

2020 ◽  
Vol 8 (1) ◽  
pp. 33-41
Author(s):  
Dr. S. Sarika ◽  
Keyword(s):  
Credit Card ◽  
State Of The Art ◽  
Experimental Results ◽  
Detection Technique ◽  
Security Attacks ◽  
Agent Based ◽  
Detection Techniques ◽  
Browser Security ◽  
Cyber Threats ◽  
Multi Agent

Phishing is a malicious and deliberate act of sending counterfeit messages or mimicking a webpage. The goal is either to steal sensitive credentials like login information and credit card details or to install malware on a victim’s machine. Browser-based cyber threats have become one of the biggest concerns in networked architectures. The most prolific form of browser attack is tabnabbing which happens in inactive browser tabs. In a tabnabbing attack, a fake page disguises itself as a genuine page to steal data. This paper presents a multi agent based tabnabbing detection technique. The method detects heuristic changes in a webpage when a tabnabbing attack happens and give a warning to the user. Experimental results show that the method performs better when compared with state of the art tabnabbing detection techniques.

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