DOCSLIB.ORG

Design and Analysis of an Intelligent Decision Support System for Trading and Its Application to Electricity Trading

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
Design and Analysis of an Intelligent Decision Support System for Trading and Its Application to Electricity Trading University of Calgary PRISM: University of Calgary's Digital Repository Graduate Studies The Vault: Electronic Theses and Dissertations 2013-09-23 Design and Analysis of an Intelligent Decision Support System for Trading and its Application to Electricity Trading Maurice, Sebastian Augustine Maurice, S. A. (2013). Design and Analysis of an Intelligent Decision Support System for Trading and its Application to Electricity Trading (Unpublished doctoral thesis). University of Calgary, Calgary, AB. doi:10.11575/PRISM/25562 http://hdl.handle.net/11023/1011 doctoral thesis University of Calgary graduate students retain copyright ownership and moral rights for their thesis. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission. Downloaded from PRISM: https://prism.ucalgary.ca UNIVERSITY OF CALGARY Design and Analysis of an Intelligent Decision Support System for Trading and its Application to Electricity Trading by Sebastian Augustine Maurice A THESIS SUBMITTED TO THE FACULTY OF GRADUATE STUDIES IN PARTIAL FULFILMENT OF THE REQUIREMENTS FOR THE DEGREE OF DOCTOR OF PHILOSOPHY DEPARTMENT OF ELECTRICAL AND COMPUTER ENGINEERING CALGARY, ALBERTA SEPTEMBER, 2013 © Sebastian Augustine Maurice 2013 Abstract The financial trading market is a highly complex and dynamic system, which is the limiting factor preventing any model from accurately predicting its movements. Because of this limiting factor, trading in a market can be risky for individuals and institutions that could experience financial losses and this can impact the overall economy. It remains an on-going research challenge to find approaches to minimize the risk in trading. The focus of this PhD research is on a multi-agent based simulation approach to provide decision support to traders to help minimize the risk from trading. We address four problems in the existing research on decision support systems for trading: 1) lack of a modeling framework, 2) lack of direction on modeling personas, 3) lack of direction on how to provide decision support to traders, and 4) lack of analysis on quality of forecasts. The main contributions of the research is the design, analysis, development and validation of a new decision support paradigm for trading called T-Evolve*. We have also developed a new intelligent decision support technology called TRAMAS. The paradigm together with TRAMAS supports traders by allowing them to simulate different market models composed of agents with different personas and forecast beliefs. Exploring and analysing the simulation results provides guidance to traders on potential market outcomes; this is then used to develop a trading plan for tomorrow’s market. The core element of TRAMAS is the incorporation of actors with different personas and forecasts beliefs, instantiated by agents. The advantage of our approach is twofold. First, different personas of participants exist in every market, thus incorporating personas is a natural representation of the real market. Second, forecast beliefs are a natural belief of participants because forecasts about the future market play a critical role in how a market may develop tomorrow. Two industrial-oriented case studies with empirical evidence support our approach. The validation of our approach by nine industry experts confirms, within the context of this research, that our approach has merit and can be useful in a real-world setting. TRAMAS also predicts with 77% accuracy the direction of future markets for six different days. ii Acknowledgements This PhD has been difficult and a hard road for my family and me mainly because I am a part-time PhD student trying to balance the demands of work, family and research. A few times the intensities and difficulties of maintaining a balance was almost too difficult to bear but with the support from family, friends, my work, and my supervisors, who believed in the ideas, I endured. I cannot say I would recommend my road to others to follow – it was difficult and required total dedication and commitment that may sometimes be overwhelming. One has to be prepared to sacrifice the things they cherish, not for months, but years. However, while the road is hard and demanding, there is nothing sweeter, other than the birth of our daughter, which can compare to having completed the arduous journey to a PhD; completing it is my Mount Everest. It is the ultimate accomplishment in academics and a valuable prize to attain. I am greatly indebted to both Dr. Ruhe and Dr. Denzinger. When I first met Günther in 2003 I was contemplating a MSc. in Electrical and Computer Engineering and realized Günther was starting to build a lab in Decision Support. This area intrigued me and hence I completed my MSc. in Software Engineering in 2006. From that experience, I got to know him well. He has always been supportive of my research and always prepared to offer help and suggestions. I appreciate his rigor and always striving to instill in his students to be the best in the world in their research areas. After my MSc, I left for a year and during this time got the urge to pursue a PhD and approached Günther again in 2007. From then to now with a LOT in the middle I am here completing my PhD. During the process of my PhD, I met Jörg. I cannot say enough good things about him. We had many conversations, some intense, in the areas of my research. His quick insights into the darkest corners of my research were enough of a light to continue in the area. His feedback and insights were invaluable to this research. I will also never forget his quick wit and laughter but mostly I will not forget his acute reasoning skills and his abilities to see issues or value before others. My wife was a pillar of support in this long journey. The sentences I write here will not do justice to the tremendous love and support she continuously provides and for urging me to the finish line. My mother and father must also be thanked for their continued support and encouragements and giving me life and dedication to higher learning. Lastly, I would like to thank God for making me who I am and giving me certain talents that have allowed me to never quit what I start and remaining calm and focused even in the most difficult and trying moments in life. I will also miss the experiences and interactions with Graduate Students in the lab but I will never be far. Thank you to all! Sebastian Maurice Calgary, Canada, 2013 iii Dedication Mom and Dad This thesis is dedicated to my mother Mary and father Francis, for instilling in me a commitment to hard work and dedication to academics and learning. Ellen Especially, I dedicate this thesis to my wife Ellen, for her continued support over the years, and for her patience in putting up with my pursuit of this degree. Matea Lastly, I dedicate this thesis to my daughter Matea; hope she will also value hard work and pursue great academic achievements. iv Table of Contents Abstract ........................................................................................................................................... ii Acknowledgements ........................................................................................................................ iii Dedication ...................................................................................................................................... iv List of Tables .................................................................................................................................. x List of Figures ............................................................................................................................... xii List of Symbols ............................................................................................................................ xiii Glossary of Terms ........................................................................................................................ xvi Acronyms ...................................................................................................................................... xx CHAPTER 1: INTRODUCTION ............................................................................................. 1 1.1 Motivation ........................................................................................................... 1 1.2 Trading and Software Engineering ...................................................................... 2 1.3 Trading and Software Engineering Decision Support ......................................... 3 1.4 State-of-the-Art in Agent-Based Modeling ......................................................... 4 1.5 Research Problems .............................................................................................. 5 1.5.1 Problem 1: Lack of a Modeling Framework ............................................................. 5 1.5.2 Problem 2: Lack of Direction on Modeling Personas ............................................... 6 1.5.3 Problem 3: Lack of Direction on Providing Decision Support to Traders ............... 7 1.5.4 Problem 4: Lack of Analysis on Quality of Forecasts .............................................. 7 1.5.5 Further Problems and Challenges ............................................................................. 7 1.6 Formal Problem Definitions ...............................................................................
Load more

Recommended publications
  • ODD+ D: an ODD Based Protocol for Mapping Data to Empirical Abms
    ODD+2D: An ODD Based Protocol for Mapping Data to Empirical ABMs Ahmed Laatabi1, Nicolas Marilleau2, Tri Nguyen-Huu1,2, Hassan Hbid1,2, Mohamed Ait Babram1,2 1LMDP,Cadi Ayyad University, Boulevard Prince My Abdellah B.P. 2390, Marrakesh 40000, Morocco 2 Institut de Recherche pour le Développement, Pierre et Marie Curie University, 32 rue Henri Varagnat, 93143 Bondy Cedex, France Correspondence should be addressed to [email protected] Journal of Artificial Societies and Social Simulation 21(2) 9, 2018 Doi: 10.18564/jasss.3646 Url: http://jasss.soc.surrey.ac.uk/21/2/9.html Received: 27-07-2016 Accepted: 16-02-2018 Published: 31-03-2018 Abstract: The quantity of data and processes used in modeling projects has been dramatically increasing in re- cent years due to the progress in computation capability and to the popularity of new approaches such as open data. Modelers face an increasing diiculty in analyzing and modeling complex systems that consist of many heterogeneous entities. Adapting existing models is relevant to avoid dealing with the complexity of writing and studying a new model from scratch. ODD (Overview, Design concepts, Details) protocol has emerged as a solution to document Agent-Based Models (ABMs). It appears to be a convenient solution to address significant problems such as comprehension, replication, and dissemination. However, it lacks a standard that formalizes the use of data in empirical models. This paper tackles this issue by proposing a set of rules that outline the use of empirical data inside an ABM. We call this new protocol ODD+2D (ODD+Decision + Data).
    [Show full text]
  • Multi-Agent Systems Engineering: a Survey and Analysis
    International Research Journal of Computer Science (IRJCS) ISSN: 2393-9842 Issue 5, Volume 2 (May 2015) www.irjcs.com Multi-agent systems engineering: A survey and analysis Jihad CHAKER, Mohamed KHALDI and Souhaib AAMMOU LIROSA, Faculty of Sciences, Abdelmalek Essaadi University, MOROCCO Abstract— Recently, we have witnessed a significant emergence of multi-agent systems in the field of artificial intelligence (AI). Faced with this situation, new needs appear throughout the development processes as well management and quality. A wide range of agent-oriented methodologies have been proposed and to better understand the application of these theories, a research area called Agent Oriented Software Engineering (AOSE) is fully dedicated to research of best practices to guide the user in the development of multi-agent systems and to provide means and tools to verify, validate and test the functionalities of the system. This article is aiming to study different methodologies for the design of multi-agent systems (MAS). Thus, we will be presenting both sides the positives and the negatives. Moreover, the study will cover the most common methods, based on several criteria: documentation, coverage of life cycle, dedicated tools, citation frequency, standard integration and Areas coverage. Keywords— Multi-agent system, Agent Oriented Software Engineering, Design methodology, Life cycle, UML I. INTRODUCTION In the evolution of programming approaches, modular programming replied to the increase in terms of complexity, application memory requirements, and the need to reusability but the modules are under external control by appeal instructions. Which leads to the decomposition of programs into objects, but these objects are still liabilities. The logical step was to agent-oriented programming that offers to design agents as active objects, autonomous with its own behavior.
    [Show full text]
  • Université De Pau Et Des Pays De L'adour
    UNIVERSITÉ DE PAU ET DES PAYS DE L’ADOUR ÉCOLE DOCTORALE DES SCIENCES EXACTES ET LEURS APPLICATIONS A Model Driven Method to Design and Analyze Secure System-of-Systems Architectures. Application to Predict Cascading Attacks in Smart Buildings. Prepared by Jamal EL HACHEM A thesis submitted in fulfillment for the degree of Doctor of Philosophy in Computer Science Examination Committee: M. Salah SADOU, PU, Université de Bretagne Sud, France (President) Mme. Elisa YUMI NAKAGAWA, Prof., University of São Paulo, Brazil (Reviewer) M. Khalil DRIRA, DR CNRS, LAAS, France (Reviewer) Mme. Jenifer PEREZ BENEDI, Prof., Universidad Politecnica de Madrid, Spain (Examiner) M. Philippe ANIORTE, PU, Université de Pau et des Pays de l’Adour, France (Advisor) M. Vanea CHIPRIANOV, MC, Université de Pau et des Pays de l’Adour, France (Co-Advisor) 07 December 2017 To my loving parents Maha and Milad . Acknowledgements "La reconnaissance est la mémoire du cœur." Hans Christian Andersen. Je voudrais dire Merci à plusieurs personnes qui ont contribué d’une manière ou d’une autre, directement ou indirectement, à la réussite de cette thèse. Si j’oublie quelqu’un, c’est la faute de ma mauvaise mémoire, donc veuillez m’excuser ! Je tiens tout d’abord à remercier le Conseil Départemental des Landes pour leur généreuse bourse de thèse. Sans ce financement, ce travail n’aurait pas été possible. Je tiens aussi à exprimer ma sincère gratitude aux membres de mon Jury pour avoir bien voulu participer à l’évaluation de mes travaux de thèse. Je remercie particulièrement mes deux rapporteurs Mme Elisa NAKAGAWA et M.
    [Show full text]
  • INGENIAS Development Kit (IDK) Manual, Version 2.5
    Facultad de Informática INGENIAS Development Kit (IDK) Universidad Complutense de Madrid C/ Prof. JGarcía Santesmases s/n 28040 Madrid Manual España http://grasia.fdi.ucm.es IDK MANUAL SUMMARY THIS DOCUMENT PRESENTS THE INGENIAS DEVELOPMENT KIT (IDK), A SET OF TOOLS FOR THE SPECIFICATION, VERIFICATION, AND IMPLEMENTATION OF MULTI-AGENT SYSTEMS. IT IS ORIENTED TO RESEARCHERS LOOKING FOR AN AGENT-ORIENTED SPECIFICATION TOOL AND DEVELOPERS WANTING TO FOLLOW AN AGENT-ORIENTED PROCESS (SUCH AS THE INGENIAS METHODOLOGY). AS IT IS DISTRIBUTED, THE IDK CAN BE DIRECTLY USED TO SPECIFY, USING A GRAPHICAL EDITOR, MULTI-AGENT SYSTEMS. ITS FUNCTIONALITY CAN BE EXTENDED WITH MODULES THAT PERFORM AUTOMATIC CODE GENERATION AND VERIFICATION OF THE SPECIFICATIONS. SOME OF THESE MODULES ARE PROVIDED WITH THE IDK DISTRIBUTION, BUT THE DEVELOPER CAN ALSO CREATE NEW MODULES FOR A PARTICULAR APPLICATION (E.G., FOR OTHER AGENT PLATFORMS THAN THOSE CURRENTLY SUPPORTED BY IDK). THIS FEATURE IS SUPPORTED BY FACILITIES TO ACCESS THE IDK FRAMEWORK (AN API FOR PROGRAMMING MODULES AND MODULE GENERATION TOOLS), WHICH ARE BASED ON A META-MODEL SPECIFICATION OF MAS, AS DEFINED IN THE INGENIAS PROJECT. PROJECT: INGENIAS VERSION: 2.5.2 (Corresponds to version 2.5 of IDK) STATUS: DRAFT DATE: 26/11/2005 AUTHORS: Jorge J. Gómez Sanz and Juan Pavón II INDEX INDEX ______________________________________________________________________________iii 1. INTRODUCTION _________________________________________________________________ 1 1.1. Scope and Use ________________________________________________________________ 1 1.2. Credits ______________________________________________________________________ 1 1.3. Guide to read the document_____________________________________________________ 2 2. Getting started with the IDK _________________________________________________________ 3 2.1. Installing the IDK _____________________________________________________________ 3 2.2. Specification of a multi-agent system _____________________________________________ 4 2.3.
    [Show full text]
  • Standardizing the Requirements Specification of Multi-Agent Systems
    Standardizing the Requirements Specification of Multi-Agent Systems by Khaled Ali M Slhoub Master of Computer Science Faculty of Computer Science University of New Brunswick 2008 Bachelor of Science Department of Computer Science University of Benghazi 1999 A dissertation submitted to Florida Institute of Technology in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Computer Science Melbourne, Florida July, 2018 ⃝c Copyright 2018 Khaled Ali M Slhoub All Rights Reserved The author grants permission to make single copies. We the undersigned committee hereby approve the attached dissertation Standardizing the Requirements Specification of Multi-Agent Systems by Khaled Ali M Slhoub Marco Carvalho, Ph.D. Professor/Dean College of Engineering and Computing Committee Chair Muzaffar Shaikh, Ph.D. Professor College of Engineering Outside Committee Member Philip Bernhard, Ph.D. Associate Professor/Director School of Computing Committee Member Walter Bond, Ph.D. Associate Professor School of Computing Committee Member ABSTRACT Title: Standardizing the Requirements Specification of Multi-Agent Systems Author: Khaled Ali M Slhoub Major Advisor: Marco Carvalho, Ph.D. Development of multi-agent systems is negatively impacted by the lack of process standardization across the major development phases, such as the requirements analysis phase. This issue creates a key barrier for agent technology stakeholders regarding comprehending and analyzing complexity associated with agent-oriented specification. Instead, such fundamental low-level infrastructure is loosely attended to in an ad-hoc fashion, and important aspects of requirements analysis are often neglected altogether. The IEEE Std 830 model is a recommended practice aimed at describing how to write better quality requirements specification of conventional software.
    [Show full text]
  • On the Evaluation of MAS Development Tools
    On the evaluation of MAS development tools. Emilia Garcia, Adriana Giret and Vicente Botti Abstract Recently a great number of methods and frameworks to develop multia- gent systems have appeared. Nowadays there is no established framework to evalu- ate environments to develop multiagent systems (MAS) and choosing between one framework or another is a difficult task. The main contributions of this paper are: (1) a brief analysis of the state of the art in the evaluation of MAS engineering; (2) a complete list of criteria that helps in the evaluation of multiagent system de- velopment environments;(3) a quantitative evaluation technique;(4) an evaluation of the Ingenias methodology and its development environment using this evaluation framework. 1 INTRODUCTION Nowadays, there is a great number of methods and frameworks to develop MAS, almost one for each agent-research group [11]. This situation makes the selection of one or another multiagent development tool, a very hard task. The main objective of this paper is to provide a mechanism to evaluate these kind of tools. This paper shows a list of criteria that allows a deep and complete analysis of multiagent devel- opment tools. Through this analysis, developers can evaluate the appropriateness of using a tool or another depending on their needs. The rest of the paper is organized as follows: Section 1.1 briefly summarizes the state of the art of the evaluation of MAS engineering. Section 2 details some important features to develop MAS. Section 2 explains a quantitative technic to evaluate MASDKs (MultiAgent System Development Kits). In Section 3, the Inge- nias methodology and it MASDK are presented.
    [Show full text]
  • A Notation for Modeling Jason-Like BDI Agents
    A Notation for Modeling Jason-like BDI Agents Massimo Cossentino∗, Carmelo Lodato∗, Antonio Chellay, Salvatore Lopes∗, Patrizia Ribino∗ and Valeria Seiditay ∗Istituto di Reti e Calcolo ad Alte Prestazioni Consiglio Nazionale delle Ricerche Palermo, Italy Email: fcossentino,c.lodato,lopes,[email protected] yDip. di Ingegneria Chimica Gestionale Informatica Meccanica, University of Palermo Palermo, Italy Email: fantonio.chella, [email protected] Abstract—The design and development of a large Multi Very few are aided by tools and even less use a specific Agent System (MAS) is a complex and difficult activity where a notation for managing all the concepts a MAS deals with. proper modeling notation may offer a significant contribution In the case of BDI agents, concepts like agent, role, goal, to the formulation of the best solution. The support provided by a specific CASE tool can significantly contribute to make the communication, plan, belief, desire, and intention have to be chosen approach technically valid and it is also a fundamental defined during the design methodology activities. A proper element of a feasible development strategy. The present work notation would allow a more efficient way for designing the reports a UML profile and the related graphical notation for system and it would better fill the gap between the design describing a MAS based on the Jason metamodel. Moreover a process and the used platform. specific CASE tool has been developed for supporting MASs design and automatic code generation. The proposed notation In this paper we present a notation for modeling Jason- is shown in details using a classical example from the Jason based MAS and a preliminary version of a CASE tool, tutorial (domestic robot).
    [Show full text]
  • Modeltomodel and Modeltotext: Looking for the Automation Of
    Article DOI: 10.1111/exsy.12023 Model-to-model and model-to-text: looking for the automation of VigilAgent José Manuel Gascueña,1 Elena Navarro,2 Antonio Fernández-Caballero2 and Rafael Martínez-Tomás3 (1) Symbia IT S.L., Parque Científico y Tecnológico de Albacete, Albacete, Spain E-mail: [email protected] (2) Departmento de Sistemas Informáticos, Universidad de Castilla–La Mancha, Albacete, Spain E-mail: [email protected]; [email protected] (3) Departamento de Inteligencia Artificial, Universidad Nacional de Educación a Distancia, Madrid, Spain E-mail: rmtomas @dia.uned.es Abstract: VigilAgent is a methodology for the development of agent-oriented monitoring applications that uses agents as the key abstraction elements of the involved models. It has not been developed from scratch, but it reuses fragments from Prometheus and INGENIAS methodologies for modelling tasks and the ICARO framework for implementation purposes. As VigilAgent intends to automate as much as possible the development process, it exploits. Model transformation techniques are one of the key aspects of the model-driven development approach. A model-to-model transformation is used to facilitate the interoperability between Prometheus and INGENIAS methodologies. Also, a model-to-text transformation is performed to generate ICARO code from the INGENIAS model. A case study based on access control is used to illustrate the fundamentals of the model-to-model and model-to-text transformations implemented in VigilAgent. Keywords: agent-oriented software methodologies, model-driven development, model-to-model transformations, model-to-text transformations 1. Introduction relevant role. On the one hand, model-to-model (M2M) transformations turn a source model into a target model Model-driven development (MDD) (Beydeda et al., 2005) is located in the same or different abstraction level.
    [Show full text]
  • An Overview of Current Trends in European AOSE Research
    View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by CiteSeerX Informatica 29 (2005) xxx–yyy 1 An Overview of Current Trends in European AOSE Research Bernon, Carole IRIT – University Paul Sabatier, 118 Route de Narbonne, 31062 Toulouse, France [email protected] – http://www.irit.fr/SMAC Cossentino, Massimo ICAR-CNR, National Research Council, Viale delle Scienze, ed. 11, 90128 Palermo, Italy [email protected] – http://www.pa.icar.cnr.it/~cossentino Pavón, Juan Fac. Informática, Universidad Complutense Madrid, Ciudad Universitaria s/n, 28040 Madrid, Spain [email protected] – http://grasia.fdi.ucm.es/jpavon Keywords: Agent Oriented Software Engineering (AOSE), Agent oriented methodologies, Multi-Agent Systems Received: 31-08-2005 The agent oriented approach is doing great steps towards its (not yet reached) maturity; from a software engineering point of view, it is today positively used for the analysis and design of complex systems. In this paper, which is related to the activity of the AgentLink AOSE TFG (Agent Oriented Software Engineering Technical Forum Group), we provide a perspective of current research trends in this area with a specific attention for results coming from European groups. We start with a discussion of what are agents, specially from the perspective of the software engineer. We present recent trends in modelling agents and multi-agent systems, and then we review the different activities in the agent development process: from analysis and design to implementation, verification and finally testing. extensive bibliography), and is complemented in relevant 1 Introduction topics with other papers in this special issue.
    [Show full text]
  • World's Largest Science, Technology & Medicine Open
    We are IntechOpen, the world’s leading publisher of Open Access books Built by scientists, for scientists 5,400 134,000 165M Open access books available International authors and editors Downloads Our authors are among the 154 TOP 1% 12.2% Countries delivered to most cited scientists Contributors from top 500 universities Selection of our books indexed in the Book Citation Index in Web of Science™ Core Collection (BKCI) Interested in publishing with us? Contact [email protected] Numbers displayed above are based on latest data collected. For more information visit www.intechopen.com Chapter 9 A Multi-Agent Approach for Designing Next Generation of Air Traffic Systems José Miguel Canino, Juan Besada Portas, José Manuel Molina and Jesús García Additional information is available at the end of the chapter http://dx.doi.org/10.5772/50284 1. Introduction Current implementation of new technologies for Communication, Navigation, Surveillance and Air Traffic Management (CNS/ATM systems) along with computational improvements on airborne and ground systems developed in the last two decades, point out the need for more strategic navigation and air-traffic control procedures based on four-dimensional (position plus time) trajectories. Moreover, the CNS/ATM infrastructure will help to achieve more shared real-time information among aircraft, airlines and air-traffic services providers (i.e. Air Traffic Control –ATC- providers, meteorological information providers and air space resources information providers). Then, general requirements for a next-generation of Air Traffic Management (ATM) system is that entities must share real-time information about aircraft state and intentions, air-space state and resources, meteorological conditions and forecast, etc.
    [Show full text]
  • Software Agents Engineering (INGENIAS 2) TIN2005-08501-C03
    Jornadas de Seguimiento de Proyectos, 2007 Programa Nacional de Tecnologías Informáticas Software Agents Engineering (INGENIAS 2) TIN2005-08501-C03 Juan Pavón * Juan Carlos González Moreno** Project coordinator Subproject Leader Universidad Complutense Madrid Universidad de Vigo Juan A. Botía*** Subproject leader Universidad de Murcia Abstract Agent-oriented methodologies are paving the way towards the adoption of agent technology in software industry. However, there are still several issues to address: testing mechanisms, specialized verification methods, a formally defined agent oriented development process, illustrative case studies, or better development tools. This should be considered in a changing context because of innovations in related areas, which are integrated in the agent paradigm. The purpose of this project is to address these needs and contribute to the agent- oriented software engineering field by providing, on the basis of a well-specified software development process, an open multi-agent systems (MAS) development framework that integrates methods, techniques and tools. This framework should facilitate the different activities of the development process, including requirements elicitation and validation, MAS modelling and specification, properties verification, code generation and testing. The framework follows a model-driven engineering approach, which facilitates the particularization to different application domains and the implementation of models in several target platforms (from standard agent execution platforms such as JADE or FIPA OS to specific application environments, such as mobile systems or agent based simulation engines). Related tools will be distributed as open source code at SourceForge.net, and the results of the project will be published at international conferences and journals, and presented in standardization and special interest groups in the area of agents (FIPA and AgentLink).
    [Show full text]
  • Reviewing Microgrids from a Multi-Agent Systems Perspective
    Energies 2014, 7, 3355-3382; doi:10.3390/en7053355 OPEN ACCESS energies ISSN 1996-1073 www.mdpi.com/journal/energies Review Reviewing Microgrids from a Multi-Agent Systems Perspective Jorge J. Gomez-Sanz 1;*, Sandra Garcia-Rodriguez 1, Nuria Cuartero-Soler 1 and Luis Hernandez-Callejo 2 1 Faculty of Computer Science, Complutense University of Madrid, Madrid 28040, Spain; E-Mails: [email protected] (S.G.-R.); [email protected] (N.C.-S.) 2 CIEMAT: Centro de Investigaciones Energeticas,´ Medioambientales y Tecnologicas,´ Avenida Complutense 40, Madrid 28040, Spain; E-Mail: [email protected] * Author to whom correspondence should be addressed; E-Mail: [email protected]; Tel.: +34-91-394-7644; Fax: +34-91-394-7547. Received: 10 February 2014; in revised form: 5 May 2014 / Accepted: 8 May 2014 / Published: 22 May 2014 Abstract: The construction of Smart Grids leads to the main question of what kind of intelligence such grids require and how to build it. Some authors choose an agent based solution to realize this intelligence. However, there may be some misunderstandings in the way this technology is being applied. This paper exposes some considerations of this subject, focusing on the Microgrid level, and shows a practical example through INGENIAS methodology, which is a methodology for the development of Agent Oriented systems that applies Model Driven Development techniques to produce fully functional Multi-Agent Systems. Keywords: microgrid; smart grid; multi-agent systems (MAS); INGENIAS; intelligence 1. Introduction Following Farhangi [1], when comparing a Smart Grid with the conventional Power Grid at the distribution level, the following extra elements can be highlighted: a sensor and metering network, network nodes with computation capabilities, switches or actuators that allow the grid setup to be changed and the capability of plug in or plug out new devices.
    [Show full text]