Relevant bibliographies by topics / Software Agents

Academic literature on the topic 'Software Agents'

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Published: 4 June 2021
Last updated: 31 January 2023

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Journal articles on the topic "Software Agents"

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Jennings, N., and M. Wooldridge. "Software agents." IEE Review 42, no. 1 (January 1, 1996): 17–20. http://dx.doi.org/10.1049/ir:19960101.

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Genesereth, Michael R., and Steven P. Ketchpel. "Software agents." Communications of the ACM 37, no. 7 (July 1994): 48. http://dx.doi.org/10.1145/176789.176794.

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Wong, A. "Intelligent Software Agents." Computer Communications 23, no. 7 (March 2000): 695–96. http://dx.doi.org/10.1016/s0140-3664(99)00186-3.

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Dalmeijer, M., D. K. Hammer, and A. T. M. Aerts. "Mobile software agents." Computers in Industry 41, no. 3 (May 2000): 251–60. http://dx.doi.org/10.1016/s0166-3615(99)00047-0.

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LUCIA, PAVLIKOVA, BEAT F. SCHMID, MAASS WOLFGANG, and JÖRG P. MÜLLER. "Editorial: Software Agents." Electronic Markets 13, no. 1 (January 1, 2003): 1–2. http://dx.doi.org/10.1080/1019678032000062195.

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hemat, Monireh Azimi. "Fuzzy Content Based Image Retrieval Using Software Agents." International Academic Journal of Science and Engineering 05, no. 01 (June 1, 2018): 1–11. http://dx.doi.org/10.9756/iajse/v5i1/1810001.

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Morreale, P. "Agents on the move [mobile software agents]." IEEE Spectrum 35, no. 4 (April 1998): 34–41. http://dx.doi.org/10.1109/6.666958.

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Arsene, Octavian, Ioan Dumitrache, and Ioana Mihu. "Collaborative Medical Software Agents." IFAC Proceedings Volumes 43, no. 22 (2010): 34–39. http://dx.doi.org/10.3182/20100929-3-ro-4017.00007.

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Ören, Tuncer I. "Software Agents and Simulation." SIMULATION 76, no. 6 (June 2001): 328. http://dx.doi.org/10.1177/003754970107600601.

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Crawford, P. "Review: Intelligent Software Agents." Computer Bulletin 41, no. 3 (May 1, 1999): 31. http://dx.doi.org/10.1093/combul/41.3.31-c.

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Dissertations / Theses on the topic "Software Agents"

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Charlton, Patricia. "Self-configurable software agents." Thesis, University of Bath, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.299653.

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Self, Lance. "INTRODUCTION TO SOFTWARE AGENTS." International Foundation for Telemetering, 1999. http://hdl.handle.net/10150/607343.

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International Telemetering Conference Proceedings / October 25-28, 1999 / Riviera Hotel and Convention Center, Las Vegas, Nevada
Software agents are application programs that perform duties in an autonomous fashion. These applications can be used to increase productivity, better use existing bandwidth, and improve present and future software application programs. By using existing established methods, and adding a layer of intelligence, software agents can add problem solving abilities to an application program.
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VELMOVITSKY, PEDRO ELKIND. "IBOT: AN AGENT-BASED SOFTWARE FRAMEWORK FOR CREATING DOMAIN CONVERSATIONAL AGENTS." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2018. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=35430@1.

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PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO
COORDENAÇÃO DE APERFEIÇOAMENTO DO PESSOAL DE ENSINO SUPERIOR
PROGRAMA DE EXCELENCIA ACADEMICA
Chatbots são programas de computador que interagem com usuários utilizando linguagem natural. Desde sua origem, a tecnologia avançou significantemente e aplicações baseadas na nuvem de grandes empresas permitiram que desenvolvedores criassem chatbots inteligentes e eficientes. No entanto, não há muitas abordagens de desenvolvimento aos principais módulos de um chatbot que são flexíveis o suficiente para permitir a criação de chatbots diferentes para cada domínio, mantendo um robusto controle de diálogo na aplicação. Existem trabalhos que tentam desenvolver uma abordagem mais flexível, cada um com suas vantagens e desvantagens. Uma das vantagens mais notáveis é o uso de sistemas multiagentes para distribuir e realizar tarefas feitas por chatbots. Nesse contexto, este trabalho propõe um framework geral e flexível baseado em sistemas multiagentes para construir chatbots em um domínio escolhido pelo desenvolvedor, com controle de diálogo na aplicação. Esta solução usa uma adaptação da abordagem de estado da informação, e agentes de software, para gestão do diálogo. Para validar a arquitetura proposta, um cenário de uso com 4 chatbots de prova de conceito são analisados e discutidos.
Chatbots are computer programs that interact with users using natural language. Since its inception, the technology has advanced greatly and cloud-based platforms from big companies allow developers to create intelligent and efficient chatbots. However, there are not many development approaches to the main modules of a chatbot that are flexible enough to allow the creation of different chatbots for each domain, while maintaining a robust dialogue control in the application. There have been some works that try to develop a more flexible approach, each of them with their own advantages and disadvantages. One of the most notable advantages is the use of multi-agent systems to distribute and perform the tasks performed by the chatbot. In this context, this work proposes a general and flexible architecture based on multi-agent systems for building chatbots in any domain chosen by the developer, with dialogue control in the application. This architecture uses an adaptation of the information state approach, also using software agents, to perform dialogue management. To validate the proposed architecture, an user scenario involving the implementation of 4 proof of concept chatbots is analyzed discussed.
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Engmo, Lise, and Lene Hallen. "Software agents applied in oil production." Thesis, Norwegian University of Science and Technology, Department of Computer and Information Science, 2007. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-8721.

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The current increase in instrumentation of oil production facilities leads to a higher availability of real-time sensor data. This is an enabler for better control and optimisation of the production, but current computer systems do not necessarily provide enough operator support for handling and utilising this information. It is believed that agent technology may be of use in this scenario, and the goal of this Master's thesis is to implement a proof-of-concept which demonstrates the suitability of such solutions in this domain. The agent system is developed using the Prometheus methodology for the design and the JACK Intelligent Agents framework for the implementation. A regular Java program which simulates the running of a very simplified oil field is also developed. The simulator provides the environment in which the agent system is put to the test. The agents' objective is to maximise the oil production while keeping the system within its envelope. Their performance is compared with results obtained by a human operator working with the same goal in the same environment. The metrics we use are the number of critical situations which occur, their duration, and the total amount of oil produced. The results indicate that the agents react faster to changes in the environment and therefore manage to reduce the amount and duration of critical situations, as well as producing more oil. This suggests a possibility of introducing an agent system to deal with some aspects of the production system control. This may contribute to a reduction of the information load on the operator, giving him/her more time to concentrate on situations which the agents are not able (or not allowed) to handle on their own.

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Chen, Kristin M., and Hsinchun Chen. "Intelligent Software Agents for Electronic Commerce." Springer, 2000. http://hdl.handle.net/10150/106448.

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Artificial Intelligence Lab, Department of MIS, University of Arizona
Electronic commerce (EC) and software agents are two of the hottest fields of research in information science. As the Internet is rapidly becomes a popular marketplace for consumers and sellers of goods and services, combining these two research areas offers lucrative opportunities both for businesses wishing to conduct transactions over the World Wide Web (WWW) and for developers of tools to facilitate this trend. The focus in this chapter will be on software agents specifically designed for electronic commerce activities. We will briefly describe the history of agent research in general, defining characteristics of agents, and will touch on the different types of agents. Following this introduction we will describe the learning and action mechanisms that make it possible for agents to perform tasks. Finally, we will describe the issues associated with the deployment of electronic commerce agents (ECAs).
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Cucurull, Juan Jordi. "Efficient Mobility and Interoperability of Software Agents." Doctoral thesis, Universitat Autònoma de Barcelona, 2008. http://hdl.handle.net/10803/5800.

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Els agents mòbils són entitats computacionals autònomes que tenen la capacitat de suspendre i prosseguir la seva execució en diferents punts de la xarxa per a dur a terme un conjunt de tasques assignades. Tot i la seva aparent simplicitat, el fet de compartir codi en diferents localitzacions, sovint heterogènies, dóna lloc a un conjunt d'inconvenients que no són senzills de solucionar. La prova és que, després de diversos anys d'esforços, el desplegament d'aquesta tecnologia no ha esdevingut una realitat. En la nostra opinió les raons principals que han obstaculitzat l'ús dels agents mòbils són la manca de seguretat, interoperabilitat i eficiència. La seguretat imposa fortes restriccions en l'ús d'aquests. No obstant actualment ja disposem d'una gran quantitat de propostes en aquesta àrea. La interoperabilitat és absolutament indispensable per a garantir que diferents tipus d'agents poden funcionar en diferents llocs i intercanviar informació. I l'eficiència és un requisit no funcional que afavoreix l'ús de la citada tecnologia.
Els agents mòbils són idonis per a entorns distribuïts i heterogenis. El treball presentat en aquesta tesi està motivat per a aquest fet i comprèn quatre objectius per a millorar, en aquest ordre, la interoperabilitat, l'eficiència i la seguretat dels agents mòbils en el context dels estàndards definits per l'organització IEEE-FIPA. El primer objectiu és el disseny d'una especificació de mobilitat flexible. El segon objectiu és la proposta de mecanismes d'interoperabilitat, combinats amb l'especificació anterior, per a l'execució i mobilitat d'agents en localitzacions on no se suporten els mateixos tipus de plataformes d'agents, llenguatges de programació i arquitectures subjacents. El tercer objectiu és la proposta de mètodes per a millorar l'eficiència de la mobilitat i interoperabilitat dels agents. I, finalment, el darrer objectiu és el disseny de protocols per a tractar alguns problemes de seguretat concrets dels agents mòbils.
Mobile agents are autonomous software entities that have the ability to stop and resume their execution in different network locations to accomplish a set of tasks. Despite their apparent simplicity, the fact of sharing a code in different places, in most cases heterogeneous, arises a set of issues which are far from have a simple solution. The proof is that after several years of efforts, a wide-scale deployment of mobile agents has not become a reality. In our opinion the main reasons which have hindered the adoption of mobile agents are: security, interoperability, and efficiency. Security may impose strong restrictions to the use of mobile agents. Nevertheless, enough research to satisfy the most common applications has been done in this field. Interoperability is absolutely indispensable to guarantee that different types of agents can run in different places and exchange information. And efficiency is a non functional requisite which favours the adoption of the technology.
The suitability of mobile agents for distributed and heterogeneous environments is unique. The work presented in this thesis is motivated by this fact and comprises four objectives to improve, in this order, the interoperability, efficiency, and security of mobile agents in the context of the IEEE-FIPA standards. The first objective is the design of a flexible agent mobility specification. The second objective is the proposal of interoperability mechanisms to move and execute agents in several locations supporting different agent middlewares, programming languages, and underlying architectures taking advantage of the previous mobility specification. The third objective is the proposal of methods to improve the efficiency of the agent mobility and interoperability. And finally, the last objective is the design of some protocols to deal with specific security issues of mobile agents.
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Sha, Mao Xuan, Xi Tao Wang, and Shu Zuo. "WSN Setup by means of Software Agents." Thesis, Högskolan i Halmstad, Sektionen för Informationsvetenskap, Data– och Elektroteknik (IDE), 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-16450.

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A significant challenge in the Wireless Sensor Networks (WSN) research field is to find flexible and energy efficient strategies to perform the network setup and configuration to accomplish specified sensing missions. This thesis presents an approach which uses mobile agents to disseminate and allocate sensing missions to the sensor nodes. The addressed problem refers to the selection of appropriate nodes to perform the sensing mission, by using a decentralized approach supported by mobile software agents. Traditional approaches to deal with WSN setup use the pre-planned strategies, which are deliberately modelled, designed and tuned before the network deployment, and thus are not flexible. This thesis presents an alternative approach based on Belief Desire Intention-model agents using JASON, instead of traditional approaches. Simulation results provides evidences that this approach can achieve the goals of a sensing mission setup by decisions autonomously taken by the sensor node, diminishing then the need for communication among the sensor nodes, hence saving energy resources.
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Crow, Louise Rebecca. "Software agents for Internet-based knowledge engineering." Thesis, University of Nottingham, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.325716.

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Bohoris, Christos. "Network performance management using mobile software agents." Thesis, University of Surrey, 2003. http://epubs.surrey.ac.uk/844000/.

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In recent years a lot of promise has surrounded the potential impact of mobile software agents in the area of network management. The work aims to present a clear- direction of practical exploitation of mobile agents for network management tasks. Three different case studies of network performance management were examined in order to evaluate the effectiveness of the agent mobility strategy and autonomous behaviour applied within the specific context. This work importantly allowed the identification of 'Constrained' mobility, an agent migration strategy especially suited for network management tasks, involving a mobile agent autonomously migrating to a single network element where its execution is confined. The mobile agent benefits identified relate primarily to the easy support for programmability of network elements and the autonomous, self-configurable agent operation. An important drawback is that the advanced capabilities of modem mobile agent frameworks typically incur significant performance overheads and these were confirmed through a detailed performance evaluation comparing mobile agents to distributed object and mobile code approaches. In the direction of addressing this drawback, the work proposes network management solutions based on specially formulated execution environments that retain important mobile agent benefits while reducing network performance overheads.
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Tekbacak, Fatih Tuğlular Tuğkan. "Developing a security mechanism for software agents/." [s.l.]: [s.n.], 2006. http://library.iyte.edu.tr/tezler/master/bilgisayaryazilimi/T000526.pdf.

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Thesis (Master)--İzmir Institute of Technology, İzmir, 2006.
Keywords: Agents, security protocols, software, software development, software security. Includes bibliographical references (leaves. 73-76).
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Books on the topic "Software Agents"

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M, Bradshaw Jeffrey, ed. Software agents. Menlo Park, Calif: AAAI Press, 1997.

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Murch, Richard. Intelligent software agents. Upper Saddle River, N.J: Prentice Hall PTR, 1999.

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Brenner, Walter, Rüdiger Zarnekow, and Hartmut Wittig. Intelligent Software Agents. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/978-3-642-80484-7.

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NATO Advanced Study Institute on Software Agents, Agent Systems and their Applications (2010 Tangiers, Morocco). Software agents, agent systems and their applications. Amsterdam: IOS Press, 2012.

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Perram, John W., and Jean-Pierre Müller, eds. Distributed Software Agents and Applications. Berlin, Heidelberg: Springer Berlin Heidelberg, 1996. http://dx.doi.org/10.1007/3-540-61157-6.

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1928-, Bekey George A., ed. Autonomous agents. Boston: Kluwer, 1998.

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Agents unleased: A public domain look at agent technology. Boston: AP Professional, 1995.

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1967-, Alonso Eduardo, Kudenko Daniel 1968-, and Kazakov Dimitar 1967-, eds. Adaptive agents and multi-agent systems, adaptation and multi-agent learning. Berlin: Springer, 2003.

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Transactional agents: Towards a robust multi-agent system. Berlin: Springer, 2001.

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1968-, Kudenko Daniel, Kazakov Dimitar 1967-, Alonso Eduardo 1967-, and LINK (Online service), eds. Adaptive agents and multi-agent systems III: Adaptation and multi-agent learning. Berlin: Springer, 2005.

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Book chapters on the topic "Software Agents"

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Milutinović, Veljko. "Software Agents." In Infrastructure for Electronic Business on the Internet, 97–163. Boston, MA: Springer US, 2001. http://dx.doi.org/10.1007/978-1-4615-1451-0_5.

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Roth, Volker. "Empowering Mobile Software Agents." In Mobile Agents, 47–63. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-36112-x_4.

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Dignum, Frank. "Organizing Software Agents." In Advances in Artificial Intelligence - IBERAMIA-SBIA 2006, 1–2. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11874850_1.

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Horn, Erika. "Agent Models of Software Technology." In Cooperative Agents, 21–37. Dordrecht: Springer Netherlands, 2001. http://dx.doi.org/10.1007/978-94-017-1177-7_3.

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Nuseibeh, Bashar. "When agents clash." In Software Process Technology, 236–40. Berlin, Heidelberg: Springer Berlin Heidelberg, 1996. http://dx.doi.org/10.1007/bfb0017748.

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Brenner, Walter, Rüdiger Zarnekow, and Hartmut Wittig. "Introduction." In Intelligent Software Agents, 1–3. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/978-3-642-80484-7_1.

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Brenner, Walter, Rüdiger Zarnekow, and Hartmut Wittig. "Agents as Tools of the Information Society." In Intelligent Software Agents, 7–18. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/978-3-642-80484-7_2.

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Brenner, Walter, Rüdiger Zarnekow, and Hartmut Wittig. "Fundamental Concepts of Intelligent Software Agents." In Intelligent Software Agents, 19–34. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/978-3-642-80484-7_3.

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Brenner, Walter, Rüdiger Zarnekow, and Hartmut Wittig. "Base Modules of Agent Systems." In Intelligent Software Agents, 35–151. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/978-3-642-80484-7_4.

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Brenner, Walter, Rüdiger Zarnekow, and Hartmut Wittig. "Development Methods and Tools." In Intelligent Software Agents, 153–88. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/978-3-642-80484-7_5.

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Conference papers on the topic "Software Agents"

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Hawryszkiewycz, Igor. "Software Agents for Managing Learning Plans." In InSITE 2006: Informing Science + IT Education Conference. Informing Science Institute, 2006. http://dx.doi.org/10.28945/2994.

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Support for personalized learning requires further assistance than currently available with most learning management system. Software agents have been proposed as one way of providing such assistance. The paper identifies three kinds of software agents, pedagogical, function and process agents. The paper then concentrates on process agents, which guide learners to develop personalized preferred learning plans that match learner needs and then manage progress through such plans. Agent support will only be practical if widely applicable generic agents, which can be reused in many plans, can be identified. Such agents can then be adapted to particular learner needs without extensive programming. The paper identifies some generic agents for this purpose and concentrate on agents that manage progress through the learning plans.
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Ivanović, Mirjana, and Zoran Budimac. "Software agents." In the 13th International Conference. New York, New York, USA: ACM Press, 2012. http://dx.doi.org/10.1145/2383276.2383279.

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Millier, Marc. "Software agents tutorial." In CHI '97 extended abstracts. New York, New York, USA: ACM Press, 1997. http://dx.doi.org/10.1145/1120212.1120339.

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Cesta, Amedeo, Daniela D'Aloisi, and Rodolfo Brancaleoni. "Mixed-initiative agenda management with software agents." In the first international conference. New York, New York, USA: ACM Press, 1997. http://dx.doi.org/10.1145/267658.267813.

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Mzahm, Anas M., Mohd Sharifuddin Ahmad, Alicia Y. C. Tang, and Azhana Ahmad. "Software analysis for Agents of Things (AoT) applications." In 2015 International Symposium on Agents, Multi-Agent Systems and Robotics (ISAMSR). IEEE, 2015. http://dx.doi.org/10.1109/isamsr.2015.7379123.

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Stojkovic, Vojislav, and Hongwei Huo. "Software Agents Action Securities." In 2006 International Conference on Computational Intelligence and Security. IEEE, 2006. http://dx.doi.org/10.1109/iccias.2006.295419.

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Kopka, Bartosz, and Mariusz Żytniewski. "The System Ergonomics and Usability as a Measurement of the Software Agents Impact to the Organization." In Applied Human Factors and Ergonomics Conference (2022). AHFE International, 2022. http://dx.doi.org/10.54941/ahfe1001217.

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The purpose of this article is to analyze the concept of ergonomics in theory of software agents and its use in the construction of agent systems that supports the knowledge based organizations. In particular, the study will be focused on testing methods in context ergonomics of the agent society and their use in the analysis of the impact of agents on the business processes in the organization. Modern organizations require knowledge-based construction solutions, which in conditions of pervasive communications will support the processes occurring in them. Such solutions can be software agents. However, to assess their impact, it is necessary to define metrics that would indicate how much software agents support organization. Undertaken research in this area indicates that various features of software agents cause that they should be treated on a higher level of abstraction compared to the currently used software solutions. One of the aspect that can be picked up is the area of the cognitive ergonomics. It focuses around mental processes such as perception, memory, reasoning, knowledge, and issues of human reliability and increasing human cognitive abilities. Cognitive Ergonomics can be seen in the context of the software agent interaction solutions for users. The implementation of the cognitive ergonomics in human-computer relationship can take place through the use of agent technologies, such as anthropomorphic agent-system. Available literature does not define sufficiently the construction methodologies of the agent systems in the context of the presented issues of cognitive ergonomics. As a result, it becomes necessary to undertake research in the field of ergonomics and evaluation of impact on users as well as business processes in which they participate.
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Wai, Sim Yee, Wai Shiang Cheah, Sim Keng Wai, and Muhammad Asyraf Khairuddin. "Towards Software Engineering Perspective for BDI Agent." In 2021 4th International Symposium on Agents, Multi-Agent Systems and Robotics (ISAMSR). IEEE, 2021. http://dx.doi.org/10.1109/isamsr53229.2021.9567829.

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Sharma, A., and M. A. M. Capretz. "Application maintenance using software agents." In Proceedings First IEEE International Workshop on Source Code Analysis and Manipulation. IEEE, 2001. http://dx.doi.org/10.1109/scam.2001.972666.

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Shakshuki, E., I. Tomek, and O. Prabhu. "Client software agents in FCVW." In International Conference on Information Technology: Coding and Computing (ITCC'05) - Volume II. IEEE, 2005. http://dx.doi.org/10.1109/itcc.2005.101.

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Reports on the topic "Software Agents"

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Mulvehill, Alice M., and Randall Whitaker. Human Interaction With Software Agents (HISA). Fort Belvoir, VA: Defense Technical Information Center, November 2000. http://dx.doi.org/10.21236/ada400412.

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Smith, Douglas R., and Stephen J. Westfold. Agentware: Automated Synthesis of Software Agents. Fort Belvoir, VA: Defense Technical Information Center, October 2002. http://dx.doi.org/10.21236/ada408501.

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Sycara, Katia, Jianguo Lu, and Matthias Klusch. Interoperability among Heterogeneous Software Agents on the Internet. Fort Belvoir, VA: Defense Technical Information Center, October 1998. http://dx.doi.org/10.21236/ada599015.

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Valetto, Giuseppe, and Gail Kaiser. Combining Mobile Agents and Process-Based Coordination to Achieve Software Adaptation. Fort Belvoir, VA: Defense Technical Information Center, January 2002. http://dx.doi.org/10.21236/ada451580.

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Beck, Steve, and Joe Reynolds. Sensor Agent Processing Software (SAPS). Fort Belvoir, VA: Defense Technical Information Center, May 2004. http://dx.doi.org/10.21236/ada423980.

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Hall, Richard S., Dennis Heimberger, Andre van der Hoek, and Alexander L. Wolf. The Software Dock: A Distributed, Agent-based Software Deployment System. Fort Belvoir, VA: Defense Technical Information Center, May 1997. http://dx.doi.org/10.21236/ada447765.

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Pasquale, Joseph. System Software Support for Mobile-Agent Computing. Fort Belvoir, VA: Defense Technical Information Center, September 2002. http://dx.doi.org/10.21236/ada409193.

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8

Klein, Mark. An Exception Handling Service for Software Agent Ensembles. Fort Belvoir, VA: Defense Technical Information Center, February 2004. http://dx.doi.org/10.21236/ada421591.

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9

Lamaison, Nicolas. ENRSIM Software. IEA SHC Task 55, February 2020. http://dx.doi.org/10.18777/ieashc-task55-2020-0003.

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Abstract:
Due to their ability to distribute large amounts of renewable energy, District Heating Networks (DHN) are expected to exhibit a considerable development in the coming years. The ENRSIM software, cofounded by the French Renewable Energy Agency (ADEME), aims at providing a simple tool to size DHN production plants with renewable production units and storage.
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10

Butler, C. A., and James T. Eanes. Software Agent Technology for Large Scale, Real-Time Logistics Decision Support. Fort Belvoir, VA: Defense Technical Information Center, July 2001. http://dx.doi.org/10.21236/ada394489.

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