FUZZY EVALUATION OF AGENT-BASED SEMANTIC MATCH-MAKING ALGORITHM FOR CYBERSPACE

Intelligent agents help to automate time and resource consuming tasks such as anomaly detection, pattern recognition, monitoring and decision-making. One of the major issues in automation of cyberspace is the discordance between the concept people use and the elucidation of the corresponding data by existing algorithms. Moreover, the measurement and computation of relevance referred to as degree of match-making is a crucial task and presents one of the most important challenges in unknown and uncertain environments of multi-agent systems. Optimal algorithms that generate the best matches for a user input are desired. This paper overcomes the challenges listed by proposing an agent-based semantic match-making algorithm that addresses the problem of heterogeneous ontology at user end and semantically enhances the user-input. A degree of match-making evaluation scheme based on fuzzy logic is proposed and evaluated using synthetic data from the web. The results are found to be consistent on the scale provided by the existing algorithms.

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Alternative Approaches to Auction Trading by Consortia in Multi Agent Systems

Advances in Civil and Industrial Engineering - Production and Manufacturing System Management ◽

10.4018/978-1-4666-2098-8.ch001 ◽

2013 ◽

pp. 1-14

Author(s):

Barin N. Nag ◽

Dong-Qing Yao ◽

Sungchul Hong

Keyword(s):

Intelligent Agents ◽

Heuristic Methods ◽

Multi Agent Systems ◽

Management Activity ◽

Chain Management ◽

Agent Based ◽

Agent Systems ◽

Multi Agent ◽

Alternative Approaches ◽

The Impact

Agent-based auction trading is important in e-Procurement as a part of the supply chain management activity of procurement via the Internet. Participating buyers and sellers are intelligent agents tasked with finding matches with required or offered quantities for best performance. Formation of consortiums offers opportunities in matching trade volumes, but in the real world, there are difficulties in optimizing consortium formation due to lack of perfect information and the dynamic character of the information. Heuristic methods are often the only solution. This chapter shows the impact and capabilities of alternate heuristic models, and compares their performances in auction trading.

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An Intelligent Agents and Multi-Agent Systems Course Involving NetLogo

Multi-Agent Systems for Education and Interactive Entertainment ◽

10.4018/978-1-60960-080-8.ch002 ◽

2011 ◽

pp. 26-50 ◽

Cited By ~ 1

Author(s):

Ilias Sakellariou ◽

Petros Kefalas ◽

Ioanna Stamatopoulou

Keyword(s):

Learning Curve ◽

Intelligent Agents ◽

Multi Agent Systems ◽

Agent Based ◽

Agent Systems ◽

Agent Societies ◽

Agent Communication Language ◽

Complex Agent ◽

Language Communication ◽

Multi Agent

In the context of an Agent and Multi-Agent Systems course, exposing students to problems and issues related to agent-based programming allows them to understand at a deeper level the otherwise theoretical aspects involved in the design of a multi-agent system (MAS). Indeed, educators have reported a variety of environments and techniques they use in order to increase active learning. The authors argue that NetLogo presents an excellent platform for the task, since it provides, among other interesting features, a small learning curve and an easy to setup visualization environment. This chapter records their experience in teaching a MAS course, using NetLogo as the vehicle for practical coursework. In addition, two extra NetLogo libraries that were provided to students are described, one for BDI-like agents (Belief-Desire-Intention, i.e. goal-oriented agents) and one for ACL-like (Agent Communication Language) communication, which were specifically developed for allowing students to implement more complex agent societies than the original NetLogo platform allowed.

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Alternative Approaches to Auction Trading by Consortia in Multi Agent Systems

Supply Chain Management ◽

10.4018/978-1-4666-2625-6.ch097 ◽

2012 ◽

pp. 1637-1649

Author(s):

Barin N. Nag ◽

Dong-Qing Yao ◽

Sungchul Hong

Keyword(s):

Intelligent Agents ◽

Heuristic Methods ◽

Multi Agent Systems ◽

Management Activity ◽

Chain Management ◽

Agent Based ◽

Agent Systems ◽

Multi Agent ◽

Alternative Approaches ◽

The Impact

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A Two-Layer Approach to Developing Self-Adaptive Multi-Agent Systems in Open Environment

Computer Systems and Software Engineering ◽

10.4018/978-1-5225-3923-0.ch024 ◽

2017 ◽

pp. 585-606

Author(s):

Xinjun Mao ◽

Menggao Dong ◽

Haibin Zhu

Keyword(s):

Reinforcement Learning ◽

Adaptive Systems ◽

Multi Agent Systems ◽

Uncertain Environments ◽

Agent Based ◽

Fine Grain ◽

Adaptation Mechanisms ◽

Multi Agent ◽

Self Adaptation ◽

Self Adaptive

Development of self-adaptive systems situated in open and uncertain environments is a great challenge in the community of software engineering due to the unpredictability of environment changes and the variety of self-adaptation manners. Explicit specification of expected changes and various self-adaptations at design-time, an approach often adopted by developers, seems ineffective. This paper presents an agent-based approach that combines two-layer self-adaptation mechanisms and reinforcement learning together to support the development and running of self-adaptive systems. The approach takes self-adaptive systems as multi-agent organizations and enables the agent itself to make decisions on self-adaptation by learning at run-time and at different levels. The proposed self-adaptation mechanisms that are based on organization metaphors enable self-adaptation at two layers: fine-grain behavior level and coarse-grain organization level. Corresponding reinforcement learning algorithms on self-adaptation are designed and integrated with the two-layer self-adaptation mechanisms. This paper further details developmental technologies, based on the above approach, in establishing self-adaptive systems, including extended software architecture for self-adaptation, an implementation framework, and a development process. A case study and experiment evaluations are conducted to illustrate the effectiveness of the proposed approach.

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Intelligent Agents for Business Process Management Systems

Infonomics for Distributed Business and Decision-Making Environments ◽

10.4018/978-1-60566-890-1.ch007 ◽

2010 ◽

pp. 97-131 ◽

Cited By ~ 1

Author(s):

Janis Grundspenkis ◽

Antons Mislevics

Keyword(s):

Business Process ◽

Intelligent Agents ◽

Business Process Management ◽

Process Management ◽

Management Systems ◽

Future Research ◽

Multi Agent Systems ◽

Agent Based ◽

Multi Agent ◽

Insight Into

The chapter is focused on the usage of intelligent agents in business process modelling and business process management systems in particular. The basic notions of agent-based systems and their architectures are given. Multiagent systems as sets of multiple interacting software agents, as well as frameworks and methodologies of their development are discussed. Three kinds of architectures of agent-based systems – holons, multi-multi-agent systems and aspect-oriented architecture are described. Examples of already implemented agent-based systems in logistics, transportation and supply chain management are given. The chapter gives an insight into recent business process management systems and their architectures, and highlights several issues and challenges which underpin the necessity for agent-based business process management. Methodologies and implementation of agent-based business process management systems are discussed and directions of future research in this area are outlined.

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Toward Agent-Oriented Conceptualization and Implementation

Architectural Design of Multi-Agent Systems ◽

10.4018/978-1-59904-108-7.ch001 ◽

2011 ◽

pp. 1-25

Author(s):

Pratik K. Biswas

Keyword(s):

Software Engineering ◽

Intelligent Agents ◽

Multi Agent Systems ◽

New Paradigm ◽

Agent Based ◽

Future Challenges ◽

Multi Agent ◽

High Level ◽

Traditional Approaches ◽

Systems Framework

The desire to flexibly customize software, manage it efficiently, and empower it with intelligence has driven research and development-related efforts toward intelligent agents. The benefits in terms of rapid delivery, reduced costs, and enhanced productivity can be realized in the areas of systems and software engineering with the proliferation of this technology. Intelligent agents represent an alternate approach to distributed software engineering. Agent-oriented conceptualization provides a new paradigm for the design and development of these agent-based systems. This chapter extends and formalizes this agent oriented modeling approach to the conceptualization process. It defines agent models and proposes a high-level methodology for agent-oriented analysis and design. It also looks at the heart of agent-oriented programming and outlines its advantages over traditional approaches to distributed computing and interoperability. The chapter includes analogies with the object-oriented methodologies and other existing agent-oriented methodologies wherever applicable. It reviews the Foundation of Intelligent Physical Agents-compliant infrastructure for building agent-based systems and suggests a multi-agent systems framework that merges this infrastructure with the emerging J2EE technologies. The chapter concludes with a case study and an insight to future challenges.

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The program for the implementation of the multi-agent concept is highly sophisticated Measurement of terms for conducting electronic commerce

Electronics and Communications ◽

10.20535/2312-1807.2011.16.6.240535 ◽

2012 ◽

Vol 16 (6) ◽

pp. 30-38

Author(s):

YA. V. Belec'kij ◽

V. P. Kornev

Keyword(s):

Intelligent Agents ◽

Software Implementation ◽

Electronic Market ◽

Multi Agent System ◽

Multi Agent Systems ◽

Agent Based ◽

Java Language ◽

Full Control ◽

Sales Process ◽

Multi Agent

Requirements formulated and proposed a model of a multi-agent system designed for e-commerce tasks. An agent-based system has been developed, as well as its software implementation in JAVA language. The software implementation of the electronic market with the introduction of basic intelligent agents is proposed. An algorithm for negotiating sales is described, which provides full control over the sales process. The main directions of using multi-agent systems in e-commerce are highlighted.

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An agent-based supplier selection framework

Strategic Outsourcing An International Journal ◽

10.1108/so-01-2015-0003 ◽

2015 ◽

Vol 8 (2/3) ◽

pp. 180-205 ◽

Cited By ~ 7

Author(s):

Alireza Jahani ◽

Masrah Azrifah Azmi Murad ◽

Md. Nasir bin Sulaiman ◽

Mohd. Hasan Selamat

Keyword(s):

Supply Chain ◽

Supplier Selection ◽

Information Overload ◽

Case Based Reasoning ◽

Multi Agent Systems ◽

Content Type ◽

Agent Based ◽

Common Framework ◽

Multi Agent ◽

Case Based

Purpose – The purpose of this paper is to propose an approach that integrates three complementary perspectives, multi-agent systems, fuzzy logic and case-based reasoning. Unsatisfied customers, information overload and high uncertainty are the main challenges that are faced by today’s supply chains. In addition, a few existing agent-based approaches are tied to real-world supply chain functions like supplier selection. These approaches are static and do not adequately take the qualitative and quantitative factors into consideration. Therefore, an agent-based framework is needed to address these issues. Design/methodology/approach – The proposed approach integrates three complementary perspectives, multi-agent systems, fuzzy logic and case-based reasoning, as a common framework. These perspectives were rarely used together as a common framework in previous studies. Furthermore, an exploratory case study in an office furniture company is undertaken to illustrate the value of the framework. Findings – The proposed agent-based framework evaluates supply offers based on customers’ preferences, recommends alternative products in the case of stock-out and provides a collaborative environment among agents who represent different supply chain entities. The proposed fuzzy case-based reasoning (F-CBR) approach reduces the information overload by organizing them into the relevant cases that causes less overall search between cases. In addition, its fuzzy aspect addresses the high uncertainty of supply chains, especially when there are different customers’ orders with different preferences. Research limitations/implications – The present study does not include the functions of inventory management and negotiation between agents. Furthermore, only the case description and case retrieval phases of the case-based reasoning approach are investigated, and the remaining phases like case retaining, case reusing and case revising are not included in the scope of this paper. Originality/value – This framework balances the interests of different supply chain structural elements where each of them is represented by a specific agent for better collaboration, decision-making and problem-solving in a multi-agent environment. In addition, the supplier selection and order gathering mechanisms are developed based on customers’ orders.

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Use of the Multi-Agent Paradigm in Sustainable Tourism

Czech Journal of Tourism ◽

10.1515/cjot-2018-0001 ◽

2018 ◽

Vol 7 (1) ◽

pp. 5-24 ◽

Cited By ~ 1

Author(s):

Martina Husáková

Keyword(s):

Complex Systems ◽

Sustainable Tourism ◽

Multi Agent Systems ◽

Economic Prosperity ◽

Cultural Economic ◽

Bottom Up ◽

Agent Based ◽

Agent Systems ◽

Multi Agent ◽

In Silico Models

Abstract Complex systems are characterised by a huge amount of components, which are highly linked with each other. Tourism is one of the examples of complex systems collecting various activities leading to the enrichment of travellers in the view of receiving new experiences and increasing economic prosperity of specific destinations. The complex systems can be investigated with various bottom-up and top-down approaches. The multi-agent-based modelling is the bottom-up approach that is focused on the representation of individual entities for the exploration of possible interactions among them and their effects on surrounding environments. These systems are able to integrate knowledge of socio-cultural, economic, physical, biological or environmental systems for in-silico models development, which can be used for experimentation with a system. The main aim of the presented text is to introduce links between tourism, complexity and to advocate usefulness of the multi-agent-based systems for the exploration of tourism and its sustainability. The evaluation of suitability of the multi-agent systems in tourism is based on the investigation of fundamental characteristics of these two systems and on the review of specific applications of the multi-agent systems in sustainable tourism.

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Agents’ ontologies negotiation in cohesive hybrid intelligent multi-agent systems

Journal of Physics Conference Series ◽

10.1088/1742-6596/2094/3/032033 ◽

2021 ◽

Vol 2094 (3) ◽

pp. 032033

Author(s):

I A Kirikov ◽

S V Listopad ◽

A S Luchko

Keyword(s):

Intelligent Agents ◽

Intelligent Systems ◽

Multi Agent Systems ◽

Labor Costs ◽

Joint Work ◽

Working Process ◽

Agent Systems ◽

Development Teams ◽

Multi Agent ◽

Domain Models

Abstract The paper proposes the model for negotiating intelligent agents’ ontologies in cohesive hybrid intelligent multi-agent systems. Intelligent agent in this study will be called relatively autonomous software entity with developed domain models and goal-setting mechanisms. When such agents have to work together within single hybrid intelligent multi-agent systems to solve some problem, the working process “go wild”, if there are significant differences between the agents’ “points of view” on the domain, goals and rules of joint work. In this regard, in order to reduce labor costs for integrating intelligent agents into a single system, the concept of cohesive hybrid intelligent multi-agent systems was proposed that implement mechanisms for negotiating goals, domain models and building a protocol for solving the problems posed. The presence of these mechanisms is especially important when building intelligent systems from intelligent agents created by various independent development teams.

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