An Agent-Based Knowledge Management Framework for Marketing-Mix Decision Making

Marketing-mix plays an essential role in the competitive business environment. Marketing decision makers constantly need to monitor changes in the environment and organization to make necessary changes. Therefore, a knowledge management system is required to acquire, store, retrieve and use up-to-dated knowledge. Corporations also tend to look for systems assisting them in knowledge management. Agent technology looks set for assisting organizations in collecting, processing and using knowledge with high accuracy, speed and efficiency. This paper proposes a knowledge management framework for marketing-mix decision making through using agent technology. A multi-agent system is deployed to acquire, refine, store, retrieve, present, show and update the related knowledge of marketing-mix decision making. The fuzzy logic is applied by multi-agent system to make decision. Implementation of the proposed system in a car factory indicates that it is efficient and effective in supporting and improving marketing-mix decision making.

Download Full-text

Research on Decision-making Scheduling Model of Distributed Multi-agent Collaborative Group in Supply Chain Based on Multi-agent System

Proceedings of the 2019 2nd International Conference on Computers in Management and Business - ICCMB 2019 ◽

10.1145/3328886.3328894 ◽

2019 ◽

Author(s):

Zhu Li ◽

Liang Xiao ◽

Yiming Xiao

Keyword(s):

Decision Making ◽

Supply Chain ◽

Collaborative Group ◽

Multi Agent System ◽

Agent System ◽

Scheduling Model ◽

Multi Agent

Download Full-text

Comparison of Fuzzy Multi Criteria Decision Making Approaches in an Intelligent Multi-agent System for Refugee Siting

Advances in Intelligent Systems and Computing - Information Systems Architecture and Technology: Proceedings of 39th International Conference on Information Systems Architecture and Technology – ISAT 2018 ◽

10.1007/978-3-319-99996-8_33 ◽

2018 ◽

pp. 361-370 ◽

Cited By ~ 2

Author(s):

Maria Drakaki ◽

Hacer Güner Gören ◽

Panagiotis Tzionas

Keyword(s):

Decision Making ◽

Multi Criteria Decision Making ◽

Multi Agent System ◽

Agent System ◽

Multi Agent

Download Full-text

A multi-agent system for scalable group decision making

Applied Mathematical Sciences ◽

10.12988/ams.2014.45367 ◽

2014 ◽

Vol 8 ◽

pp. 5543-5552

Author(s):

Anas Jebreen Atyeeh Husain

Keyword(s):

Decision Making ◽

Group Decision Making ◽

Group Decision ◽

Multi Agent System ◽

Agent System ◽

Multi Agent

Download Full-text

A multi-agent-based approach for address geocoding in poorly mapped areas through public company data

International Journal of Information Technology and Applied Sciences (IJITAS) ◽

10.52502/ijitas.v3i1.14 ◽

2021 ◽

Vol 3 (1) ◽

pp. 1-9

Author(s):

Mouhamad Al Mansour KEBE ◽

Roger Marcelin FAYE ◽

Claude LISHOU

Keyword(s):

Current Knowledge ◽

Original Method ◽

Local Context ◽

Multi Agent System ◽

Industrialized Countries ◽

Agent System ◽

Agent Based ◽

Public Company ◽

Spatial Coordinates ◽

Multi Agent

In this study, we present an original method that enhances geocoding systems in poorly mapped areas thanks to public company data and a multi-agent system. In contrast with industrialized countries, many developing countries lack formal postal address systems assignments and usage, making the operation of translating text-based addresses to absolute spatial coordinates, known as geocoding, a big challenge. We recreated a standard of address as it is perceived and used by local people, a kind of non-official national address standard since there is no official one in these areas. Then, we designed a multi-agent system in which agents are assigned different tasks of geocoding process and can perform negotiation to achieve a global objective: find the best possible match or approximation of a location-based on current knowledge. Verification of the usefulness of the proposed approach is made in comparison with Google Geocoding API which shows that the proposed approach has great potential to geocode addresses considering local context semantic issues.

Download Full-text

Evolutionary Computation as a Paradigm for Engineering Emergent Behaviour in Multi-Agent Systems

Intelligent Agent Software Engineering ◽

10.4018/978-1-59140-046-2.ch006 ◽

2011 ◽

pp. 118-136 ◽

Cited By ~ 3

Author(s):

Robert E. Smith ◽

Claudio Bonacina

Keyword(s):

Evolutionary Computation ◽

Multi Agent System ◽

Multi Agent Systems ◽

Agent System ◽

Future Directions ◽

Agent Based ◽

Agent Systems ◽

Emergent Behaviour ◽

Shaping System ◽

Multi Agent

In the multi-agent system (MAS) context, the theories and practices of evolutionary computation (EC) have new implications, particularly with regard to engineering and shaping system behaviors. Thus, it is important that we consider the embodiment of EC in “real” agents, that is, agents that involve the real restrictions of time and space within MASs. In this chapter, we address these issues in three ways. First, we relate the foundations of EC theory to MAS and consider how general interactions among agents fit within this theory. Second, we introduce a platform independent agent system to assure that our EC methods work within the generic, but realistic, constraints of agents. Finally, we introduce an agent-based system of EC objects. Concluding sections discuss implications and future directions.

Download Full-text

Agent-Based Infrastructure for Dynamic Composition of Grid Services

Handbook of Research on P2P and Grid Systems for Service-Oriented Computing ◽

10.4018/978-1-61520-686-5.ch039 ◽

2010 ◽

pp. 911-936

Author(s):

Matthew Adigun ◽

Johnson Iyilade ◽

Klaas Kabini

Keyword(s):

Service Composition ◽

Research Effort ◽

Multi Agent System ◽

Grid Services ◽

Agent System ◽

Agent Based ◽

Dynamic Composition ◽

Emerging Trends ◽

Dynamic Service Composition ◽

Multi Agent

The service-oriented computing paradigm is based on the assumption that existing services can be put together in order to obtain new composite services. This chapter focuses on how peer-to-peer architectures based on multi-agent systems can be used to build highly dynamic and reconfigurable infrastructure that support dynamic composition of grid services. The chapter starts by providing an overview of key technologies for SOC. It then introduces dynamic service composition and challenges of composing grid services. The authors further motivate for Multi-agent system approach in SOC and why it becomes important in service composition. They then present our research effort, AIDSEC, an agent-based infrastructure for dynamic service composition, describing its architecture, implementation and comparison with some related work in the literature. In addition, the chapter raises some emerging trends in SOC and the particular challenges they pose to service composition. They conclude by suggesting that a solution based on multi-agent system is required for composing services that possess capabilities of autonomy, reliability, flexibility, and robustness.

Download Full-text

An Adaptive Multi-Agent Environment

Encyclopedia of Communities of Practice in Information and Knowledge Management ◽

10.4018/978-1-59140-556-6.ch001 ◽

2011 ◽

pp. 1-5

Author(s):

Rejane Pinheiro ◽

Elizabeth Furtado

Keyword(s):

Collaborative Learning ◽

Learning Objects ◽

Decision Processes ◽

Agent Technology ◽

Artificial Agents ◽

Multi Agent System ◽

Agent System ◽

Cognitive Characteristics ◽

Construction Of Knowledge ◽

Multi Agent

This article aims to develop a new environment of collaborative learning, by taking into account the criteria of construction of knowledge by the apprentices and the adaptative management of that knowledge by artificial agents. The multi-agent technology has been chosen due to the possibility of having artificial agents with internal decision processes to help students in the construction of their own projects and enabling learning objects available in accordance with the cognitive characteristics of the students and of their group. In this multi-agent system, exchanges of messages between the agents can occur so that they can perform theirs tasks in the best possible way.

Download Full-text

Routing Based Multi-Agent System for Network Reliability in the Smart Microgrid

Sensors ◽

10.3390/s20102992 ◽

2020 ◽

Vol 20 (10) ◽

pp. 2992

Author(s):

Niharika Singh ◽

Irraivan Elamvazuthi ◽

Perumal Nallagownden ◽

Gobbi Ramasamy ◽

Ajay Jangra

Keyword(s):

Large Scale ◽

Network Performance ◽

Performance Metrics ◽

Network Reliability ◽

Operating Conditions ◽

Multi Agent System ◽

Agent System ◽

Agent Based ◽

Multi Agent ◽

System Operating

Microgrids help to achieve power balance and energy allocation optimality for the defined load networks. One of the major challenges associated with microgrids is the design and implementation of a suitable communication-control architecture that can coordinate actions with system operating conditions. In this paper, the focus is to enhance the intelligence of microgrid networks using a multi-agent system while validation is carried out using network performance metrics i.e., delay, throughput, jitter, and queuing. Network performance is analyzed for the small, medium and large scale microgrid using Institute of Electrical and Electronics Engineers (IEEE) test systems. In this paper, multi-agent-based Bellman routing (MABR) is proposed where the Bellman–Ford algorithm serves the system operating conditions to command the actions of multiple agents installed over the overlay microgrid network. The proposed agent-based routing focuses on calculating the shortest path to a given destination to improve network quality and communication reliability. The algorithm is defined for the distributed nature of the microgrid for an ideal communication network and for two cases of fault injected to the network. From this model, up to 35%–43.3% improvement was achieved in the network delay performance based on the Constant Bit Rate (CBR) traffic model for microgrids.

Download Full-text