Thematische Bibliographien / Intelligent agents (computer software)

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Auswahl der wissenschaftlichen Literatur zum Thema „Intelligent agents (computer software)“

Autor: Grafiati

Veröffentlicht am 4. Juni 2021

Zuletzt aktualisiert am 29. Juli 2024

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Zeitschriftenartikel zum Thema "Intelligent agents (computer software)"

Odhiambo, M. O., und P. O. Umenne. „NET-COMPUTER: Internet Computer Architecture and its Application in E-Commerce“. Engineering, Technology & Applied Science Research 2, Nr. 6 (04.12.2012): 302–9. http://dx.doi.org/10.48084/etasr.145.

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Research in Intelligent Agents has yielded interesting results, some of which have been translated into commercial ventures. Intelligent Agents are executable software components that represent the user, perform tasks on behalf of the user and when the task terminates, the Agents send the result to the user. Intelligent Agents are best suited for the Internet: a collection of computers connected together in a world-wide computer network. Swarm and HYDRA computer architectures for Agents’ execution were developed at the University of Surrey, UK in the 90s. The objective of the research was to develop a software-based computer architecture on which Agents execution could be explored. The combination of Intelligent Agents and HYDRA computer architecture gave rise to a new computer concept: the NET-Computer in which the computing resources reside on the Internet. The Internet computers form the hardware and software resources, and the user is provided with a simple interface to access the Internet and run user tasks. The Agents autonomously roam the Internet (NET-Computer) executing the tasks. A growing segment of the Internet is E-Commerce for online shopping for products and services. The Internet computing resources provide a marketplace for product suppliers and consumers alike. Consumers are looking for suppliers selling products and services, while suppliers are looking for buyers. Searching the vast amount of information available on the Internet causes a great deal of problems for both consumers and suppliers. Intelligent Agents executing on the NET-Computer can surf through the Internet and select specific information of interest to the user. The simulation results show that Intelligent Agents executing HYDRA computer architecture could be applied in E-Commerce.

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Crawford, P. „Review: Intelligent Software Agents“. Computer Bulletin 41, Nr. 3 (01.05.1999): 31. http://dx.doi.org/10.1093/combul/41.3.31-c.

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Cross, Stuart R. „Agency, Contract and Intelligent Software Agents“. International Review of Law, Computers & Technology 17, Nr. 2 (Juli 2003): 175–89. http://dx.doi.org/10.1080/1360086032000122556.

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SYCARA, KATIA, und DAJUN ZENG. „COORDINATION OF MULTIPLE INTELLIGENT SOFTWARE AGENTS“. International Journal of Cooperative Information Systems 05, Nr. 02n03 (Juni 1996): 181–211. http://dx.doi.org/10.1142/s0218843096000087.

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We are investigating techniques for developing distributed and adaptive collections of information agents that coordinate to retrieve, filter and fuse information relevant to the user, task and situation, as well as anticipate user's information needs. In our system of agents, information gathering is seamlessly integrated with decision support. The task for which particular information is requested of the agents does not remain in the user's head but it is explicitly represented and supported through agent collaboration. In this paper we present the distributed system architecture, agent collaboration interactions, and a reusable set of software components for structuring agents. The system architecture has three types of agents: Interface agents interact with the user receiving user specifications and delivering results. They acquire, model, and utilize user preferences to guide system coordination in support of the user's tasks. Task agents help users perform tasks by formulating problem solving plans and carrying out these plans through querying and exchanging information with other software agents. Information agents provide intelligent access to a heterogeneous collection of information sources. We have implemented this system framework and are developing collaborating agents in diverse complex real world tasks, such as organizational decision making, investment counseling, health care and electronic commerce.

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Wooldridge, Michael, und Nicholas R. Jennings. „Intelligent agents: theory and practice“. Knowledge Engineering Review 10, Nr. 2 (Juni 1995): 115–52. http://dx.doi.org/10.1017/s0269888900008122.

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AbstractThe concept of anagenthas become important in both artificial intelligence (AT) and mainstream computer science. Our aim in this paper is to point the reader at what we perceive to be the most important theoretical and practical issues associated with the design and construction of intelligent agents. For convenience, we divide these issues into three areas (though as the reader will see, the divisions are at times somewhat arbitrary).Agent theoryis concerned with the question of what an agent is, and the use of mathematical formalisms for representing and reasoning about the properties of agents.Agent architecturescan be thought of as software engineering models of agents; researchers in this area are primarily concerned with the problem of designing software or hardware systems that will satisfy the properties specified by agent theorists. Finally,agent languagesare software systems for programming and experimenting with agents; these languages may embody principles proposed by theorists. The paper isnotintended to serve as a tutorial introduction to all the issues mentioned; we hope instead simply to identify the most important issues, and point to work that elaborates on them. The article includes a short review of current and potential applications of agent technology.

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Vinita, Kumari Pal, Singh Sonali, Sinha Anshita und Sohail Shekh Mohammad. „Medical chatbot using AI and NLP“. i-manager’s Journal on Software Engineering 16, Nr. 3 (2022): 46. http://dx.doi.org/10.26634/jse.16.3.18551.

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The use of chatbots has grown rapidly across industries, including marketing, assistive systems, education, healthcare, cultural heritage, and entertainment. This paper discusses the incentives for using chatbots and explains how useful chatbots are in various contexts. As intelligent software and hardware, also known as intelligent agents, are developed and analyzed, Artificial Intelligence (AI) is becoming more and more integrated into daily lives. From manual labor to complex procedures, intelligent agents are capable of performing a wide range of tasks. One of the simplest and most common forms of intelligent human-computer interaction is the chatbot, which is a classic example of an artificial intelligence Human-Computer Interaction (HCI) system. A chatbot is described as "a computer program designed to simulate interaction with human users, particularly over the Internet." In addition to chatbots, it also called smart bots, interactive agents, digital assistants, and intelligent conversational objects. In the midst of the COVID-19 pandemic, going to the doctor is no longer an indulgence. A chatbot is a Natural Language Processing (NLP) based chatbot to help with basic medical questions. Only the best knowledge of a chatbot can be used to answer medical questions.

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Hongbing, Li, Meng Bo und Chen Shifu. „An Agent-Based Approach for Constructing Software Systems of Virtual Simulation“. International Journal of Virtual Reality 4, Nr. 4 (01.01.2000): 97–109. http://dx.doi.org/10.20870/ijvr.2000.4.4.2659.

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The design and construction of virtual reality environments involve technologies such as computer graphics, image processing, pattern recognition, intelligent interface, artificial intelligence, voice recognition, network, parallel processing, and high-performance computing. Some researchers insist that object-oriented and agent-oriented technologies are fundamental for virtual reality system design. This paper applies artificial intelligence to the design of virtual reality systems. Agents are constructed by using object-oriented methods and a set of underlying computing models, such as neural networks, genetic algorithms, expert systems, and plan managers. Some object-oriented frameworks of these computing models are presented to illustrate this approach. The example of a spaceship game will illustrate interactions among environments, agents, and underlying computing models. The approach and reusable class library presented herein can be applied to various virtual reality environment simulations and intelligent applications.

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Weinbaum (Weaver), David, und Viktoras Veitas. „Open ended intelligence: the individuation of intelligent agents“. Journal of Experimental & Theoretical Artificial Intelligence 29, Nr. 2 (24.05.2016): 371–96. http://dx.doi.org/10.1080/0952813x.2016.1185748.

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Karatza, H. D. „Intelligent software agents' influence on media-based systems“. IEEE Distributed Systems Online 5, Nr. 3 (März 2004): 1–3. http://dx.doi.org/10.1109/mdso.2004.1285881.

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Fougères, Alain-Jérôme, und Egon Ostrosi. „Intelligent agents for feature modelling in computer aided design“. Journal of Computational Design and Engineering 5, Nr. 1 (06.11.2017): 19–40. http://dx.doi.org/10.1016/j.jcde.2017.11.001.

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Abstract CAD modelling can be referred to as the process of generating an integrated multiple view model as a representation of multiple views of engineering design. In many situations, a change in the model of one view may conflict with the models of other views. In such situations, the model of some views needs to be adapted in order to make all models consistent. Thus, CAD models should be capable of adapting themselves to new situations. Recently, agent based technologies have been considered in order to increase both knowledge level and intelligence of real and virtual objects. The contribution of this paper consists in introducing the intelligent agents in intelligent CAD modelling. The proposed agents are elementary geometrical and topological objects. They incorporate the functions of observation, decision and action, and possess their own knowledge. Agents have the capacity of communication and inference based on the feature grammars. They are modelled as bio-dynamic objects that enjoy the properties of fusion, division and multiplication. Being aware of the context, the proposed agents interact to form potential regional transitory communities, called regions. Being aware of their belonging in a region, agents interact by generating virtual links (virtual extensions). These virtual links produce: (a) fusion of agents, (b) division of agents and c) multiplication of agents. The emerged agents interact with the other agents in a region to recognize each other and to form specific sub-communities, called intelligent features. From a CAD software development point of view, this paper advocates the idea of a new phase of CAD system development based on the agent-oriented programming (AOP) paradigm. Highlights This paper proposes the agent paradigm for intelligent CAD modelling. Second section presents the state of art. In the third section, using the linguistic hypothesis of product design, a feature modelling formalism is presented. Fourth section presents a formal model for agent modelling. In the fifth section, agents for feature generation and modelling are formalised and modelled. The sixth section presents the application of the method. Finally, in the last section, the conclusion and future developments are proposed.

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Dissertationen zum Thema "Intelligent agents (computer software)"

Sivan, Jagadha. „Building intelligent market places with software agents“. [Gainesville, Fla.] : University of Florida, 2000. http://etd.fcla.edu/etd/uf/2000/ane5970/newpdf.PDF.

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Thesis (M.S.)--University of Florida, 2000.
Title from first page of PDF file. Document formatted into pages; contains viii, 81 p.; also contains graphics. Vita. Includes bibliographical references (p. 77-80).

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McInerney, James. „Intelligent agents for mobile location services“. Thesis, University of Southampton, 2014. https://eprints.soton.ac.uk/365495/.

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Understanding human mobility patterns is a significant research endeavour that has recently received considerable attention. Developing the science to describe and predict how people move from one place to another during their daily lives promises to address a wide range of societal challenges: from predicting the spread of infectious diseases, improving urban planning, to devising effective emergency response strategies. Individuals are also set to benefit from this area of research, as mobile devices will be able to analyse their mobility pattern and offer context-aware assistance and information. For example, a service could warn about travel disruptions before the user is likely to encounter them, or provide recommendations and mobile vouchers for local services that promise to be of high value to the user, based on their predicted future plans. More ambitiously, control systems for home heating and electric vehicle charging could be enhanced with knowledge of when the user will be home. In this thesis, we focus on such anticipatory computing. Some aspects of the vision of context-awareness have been pursued for many years, resulting in mature research in the area of ubiquitous systems. However, the combination of surprisingly rapid adoption of advanced mobile devices by consumers and the broad acceptance of location-based apps has surfaced not only new opportunities, but also a number of pressing challenges. In more detail, these challenges are the (i) prediction of future mobility, (ii) inference of features of human location behaviour, and (iii) use of prediction and inference to make decisions about timely information or control actions. Our research brings together, for the first time, the entire workflow that a mobile location service needs to follow, in order to achieve an understanding of mobile user needs and to act on such understanding effectively. This framing of the problem highlights the shortcomings of existing approaches which we seek to address. In the current literature, prediction is only considered for established users, which implicitly assumes that new users will continue to use an initially inaccurate prediction system long enough for it to improve and increase in accuracy over time. Additionally, inference of user behaviour is mostly concerned with interruptibility, which does not take into account the constructive role of intelligent location services that goes beyond simply avoiding interrupting the user at inopportune times (e.g., in a meeting, or while driving). Finally, no principled decision framework for intelligent location services has been provided that takes into account the results of prediction and inference. To address these shortcomings, we make three main contributions to the state of the art. Firstly, we provide a novel Bayesian model that relates the location behaviour of new and established users, allowing the reuse of structure learnt from rich mobility data. This model shows a factor of 2.4 improvement over the state-of-the-art baseline in heldout data likelihood in experiments using the Nokia Lausanne dataset. Secondly, we give new tools for the analysis and prediction of routine in mobility, which is a latent feature of human behaviour, that informs the service about the user’s availability to follow up on any information provided. And thirdly, we provide a fully worked example of an intelligent mobile location service (a crowdsourced package delivery service) that performs decision-making using predictive densities of current and future user mobility. Simulations using real mobility data from the Orange Ivory Coast dataset indicate a 81.3% improvement in service efficiency when compared with the next best (non-anticipatory) approach.

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Dobrynin, Mikhail. „Using intelligent agents for complex software systems maintenance“. Ohio : Ohio University, 2002. http://www.ohiolink.edu/etd/view.cgi?ohiou1174588678.

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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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Miller, Paul Sheridan Mikler Armin. „Automated syndromic surveillance using intelligent mobile agents“. [Denton, Tex.] : University of North Texas, 2007. http://digital.library.unt.edu/permalink/meta-dc-5141.

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Monteiro, Valter. „How intrusion detection can improve software decoy applications“. Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2003. http://library.nps.navy.mil/uhtbin/hyperion-image/03Mar%5FMonteiro.pdf.

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Brown, Quincy Lee Frank Salvucci Dario. „Mobile intelligent tutoring system : moving intelligent tutoring systems off the desktop /“. Philadelphia, Pa. : Drexel University, 2009. http://hdl.handle.net/1860/3114.

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Amin, Kaizar Abdul Husain. „Resource Efficient and Scalable Routing using Intelligent Mobile Agents“. Thesis, University of North Texas, 2003. https://digital.library.unt.edu/ark:/67531/metadc4240/.

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Many of the contemporary routing algorithms use simple mechanisms such as flooding or broadcasting to disseminate the routing information available to them. Such routing algorithms cause significant network resource overhead due to the large number of messages generated at each host/router throughout the route update process. Many of these messages are wasteful since they do not contribute to the route discovery process. Reducing the resource overhead may allow for several algorithms to be deployed in a wide range of networks (wireless and ad-hoc) which require a simple routing protocol due to limited availability of resources (memory and bandwidth). Motivated by the need to reduce the resource overhead associated with routing algorithms a new implementation of distance vector routing algorithm using an agent-based paradigm known as Agent-based Distance Vector Routing (ADVR) has been proposed. In ADVR, the ability of route discovery and message passing shifts from the nodes to individual agents that traverse the network, co-ordinate with each other and successively update the routing tables of the nodes they visit.

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Santamaria, Juan Carlos. „Learning adaptive reactive agents“. Diss., Georgia Institute of Technology, 1997. http://hdl.handle.net/1853/9247.

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Martin, Cheryl Elizabeth Duty. „Adaptive decision-making frameworks for multi-agent systems“. Access restricted to users with UT Austin EID, 2001. http://wwwlib.umi.com/cr/utexas/fullcit?p3023557.

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Bücher zum Thema "Intelligent agents (computer software)"

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

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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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Dehuri, Satchidananda, und Sung-Bae Cho. Knowledge mining using intelligent agents. London: Imperial College Press, 2011.

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Brenner, Walter. Intelligent Software Agents: Foundations and Applications. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998.

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N, Huhns Michael, und Singh Munindar P. 1964-, Hrsg. Readings in agents. San Francisco, Calif: Morgan Kaufmann, 1998.

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Dillon, Patrick M. Intelligent software agents: Current status and potential. [Atlanta, Ga.]: Information Management Forum, 1995.

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1956-, Zhong Ning, und Asia-Pacific Conference on Intelligent Agent Technology (2nd : 2000 : Maebashi, Japan), Hrsg. Intelligent agent technology: Research and development. River Edge, New Jersey: World Scientific, 2001.

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Pěchouček, Michal. Defence industry applications of autonomous agents and multi-agent systems. Basel: Birkhäuser, 2008.

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P, Müller J. The design of intelligent agents: A layered approach. Berlin: Springer, 1996.

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1952-, Conte Rosaria, Dellarocas Chrysanthos 1967- und Workshop on Norms and Institutions in Multi-Agent Systems (1st : 2000 : Barcelona, Spain), Hrsg. Social order in multiagent systems. Boston: Kluwer Academic Publishers, 2001.

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Buchteile zum Thema "Intelligent agents (computer software)"

Kerschberg, Larry. „The role of intelligent software agents in advanced information systems“. In Lecture Notes in Computer Science, 1–22. Berlin, Heidelberg: Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/3-540-63263-8_1.

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Corley, Stephen, Diego Magro, Fabio Malabocchia, Jens Meinköhn, Luisella Sisto, Sahin Albayrak und Alexander Grosse. „The application of intelligent and mobile agents to the management of software problems in telecommunications“. In Lecture Notes in Computer Science, 118–29. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/bfb0053948.

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Karpowicz, Barbara, Rafał Masłyk, Kinga Skorupska, Daniel Jabłoński, Krzysztof Kalinowski, Paweł Kobyliński, Grzegorz Pochwatko, Monika Kornacka und Wiesław Kopeć. „Intergenerational Interaction with Avatars in VR: An Exploratory Study Towards an XR Research Framework“. In Digital Interaction and Machine Intelligence, 229–38. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-11432-8_23.

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AbstractThe dynamic development of solutions in the field of virtual and augmented reality poses challenges to designers. These challenges relate to both technical conditions, including hardware capabilities and software solutions, as well as psychophysical constructs conditioning the end users’ reception of the generated multimedia message. One of the key elements of the virtual and augmented reality experience is the interaction with the system through a virtual agent represented by an avatar, i.e. a reflection of the image of a participant in the virtual world, carrying on a conversation with the user. This paper presents a proposed software and hardware solution for conducting multifaceted research and comparative analysis of diverse interfaces and human-computer interaction in virtual and augmented reality. In the course of this research, statistically significant results were obtained indicating differences in perception between three types of virtual agents. Each of them represented by different avatars in a specially created research environment that allowed to conduct usability tests under reproducible conditions to study user interaction in virtual reality.

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Popoọla, Olugbemiga Solomon, Kayọde Boniface Alese, Ayọdele Solomon Kupoluyi, Caleb Ayọdeji Ehinju und Adebayọ Olusọla Adetunmibi. „Design of a Secure Public Accounts System for Enhanced War Against Corruption Using Intelligent Software Agent“. In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 246–52. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-98827-6_23.

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Brenner, Walter, Rüdiger Zarnekow und 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 und 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 und 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 und 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 und 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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Brenner, Walter, Rüdiger Zarnekow und Hartmut Wittig. „Application Areas for Intelligent Software Agents“. In Intelligent Software Agents, 191–302. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/978-3-642-80484-7_6.

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Konferenzberichte zum Thema "Intelligent agents (computer software)"

Yu, Sun, und Li Zhiping. „Intelligent Pedagogical Agents for Intelligent Tutoring Systems“. In 2008 International Conference on Computer Science and Software Engineering. IEEE, 2008. http://dx.doi.org/10.1109/csse.2008.414.

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Yu, Sun, Xu Tianwei und Li Zhiping. „Intelligent Search Agents for Web-Based Intelligent Tutoring Systems“. In 2008 International Conference on Computer Science and Software Engineering. IEEE, 2008. http://dx.doi.org/10.1109/csse.2008.19.

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Zhang, Fu-zeng, und Hong-yong Yang. „Intelligent Autonomous Agents on Fuzzy System“. In 2008 International Conference on Computer Science and Software Engineering. IEEE, 2008. http://dx.doi.org/10.1109/csse.2008.955.

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São José de Faria, Eustáquio, Keiji Yamanaka, Josimeire do Amaral Tavares, Geraldo Henrique Lacerda Pinto und Lowghan Henrique Sudário de Melo. „Intelligent Software Agents Mediating the Pair Participation in a Distributed Intelligent Pair-Software Development Environment“. In 2008 32nd Annual IEEE International Computer Software and Applications Conference. IEEE, 2008. http://dx.doi.org/10.1109/compsac.2008.177.

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Orgun, Mehmet A. „Intelligent Agents and P2P Semantic Web“. In 31st Annual International Computer Software and Applications Conference - Vol. 2 - (COMPSAC 2007). IEEE, 2007. http://dx.doi.org/10.1109/compsac.2007.131.

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Коростелев, Дмитрий Александрович, Dmitriy Aleksandrovich Korostelev, Алексей Радченко, Aleksey Radchenko, Никита Сильченко, Nikita Silchenko, Ростислав Крылов, Rostislav Krylov, Павел Мигаль und Pavel Migal. „Software Platform for Designing and Running Artificial Intelligence Competitions with a Visualization Subsystem“. In 29th International Conference on Computer Graphics, Image Processing and Computer Vision, Visualization Systems and the Virtual Environment GraphiCon'2019. Bryansk State Technical University, 2019. http://dx.doi.org/10.30987/graphicon-2019-2-295-299.

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The paper describes the solution to the problem of testing the efficiency of new ideas and algorithms for intelligent systems. Simulation of interaction of the corresponding intelligent agents in a competitive form implementing different algorithms is proposed to use as the main approach to the solution. To support this simulation, a specialized software platform is used. The paper describes the platform developed for running competitions in artificial intelligence and its subsystems: a server, a client and visualization. Operational testing of the developed system is also described which helps to evaluate the efficiency of various algorithms of artificial intelligence in relation to the simulation like "Naval Battle".

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Beuth, J. L., C. P. Rose´ und R. Kumar. „Software Agent-Monitored Tutorials Enabling Collaborative Learning in Computer-Aided Design and Analysis“. In ASME 2010 International Mechanical Engineering Congress and Exposition. ASMEDC, 2010. http://dx.doi.org/10.1115/imece2010-40768.

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Internet chat-based tutorials are being developed for integrating computer modeling and design skills into mechanical engineering undergraduate and middle school outreach programs. These tutorials help students navigate complicated software interfaces while teaching fundamental concepts through dynamic dialogues between tutorial agents and student user groups. In a typical assignment, students are asked to perform a design or modeling task that includes the use of software such as a commercial finite element code or specially designed educational software. Students work in teams, but team members are distributed within a room or between remote sites, linked by a text interface. As students collaborate electronically, an intelligent agent monitors their interactions and interjects questions or comments in response to the use of key phrases, or due to other triggers. This platform is being used to help automate collaborative learning experiences and to study how students can effectively interact with each other and with the software agents. In undergraduate projects, fundamental technical skills and intuition in interpreting results are emphasized. In outreach efforts, participants are led to consider how their work relates to the broad mechanical engineering profession.

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Mohammadian, Masoud. „Semantic Web and Intelligent Agents Research and Practice Masoud Mohammadian“. In 31st Annual International Computer Software and Applications Conference - Vol. 2 - (COMPSAC 2007). IEEE, 2007. http://dx.doi.org/10.1109/compsac.2007.187.

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Tan, Wenan, Weiming Shen, Jianming Zhao und Qi Hao. „An Evolutionary Approach to Enterprise Process Collaborative Modeling Using Intelligent Software Agents“. In 2006 10th International Conference on Computer Supported Cooperative Work in Design. IEEE, 2006. http://dx.doi.org/10.1109/cscwd.2006.253086.

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Sokas, Algirdas. „Software agent system controls comfort settings in the house“. In The 13th International Conference on Engineering and Computer Graphics BALTGRAF-13. Vilnius Gediminas Technical University, 2015. http://dx.doi.org/10.3846/baltgraf.2015.008.

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A building can be called intelligent when it has the means for automatic control of all systems for life activities. Intelligent environments are able to support ever-changing environmental needs by automatically and dynamically adjusting their key parameters without explicit human intervention. An intelligent building can be defined as one that is able to acquire and apply knowledge about its inhabitants and their surroundings in order to adapt to the inhabitants and meet the goals of comfort and efficiency. Agents are software programs designed to act autonomously and adaptively to achieve goals defined by their human developers. These systems make use of a knowledge base and algorithms to carry out their responsibilities. This article analyses software agent system in the building environment. How does the agent control temperature and humidity in the house, how does it make decisions? The creation tasks of software agent system are solved with the help of Agent Unified Modelling Language. The collaboration diagram describes a particular situation and is useful to present objective range analysis results. Temperature and humidity measurement and access control appliances can interact with each other with defined functions. Fuzzy controller ensures the comfort situation in the room. Fuzzy logic rules in line with the method of choice are very important during system design. Study the conventional fuzzy control, which is also known as the creator of the first Mamdani fuzzy system. Logical description of the decision engine IF - THEN a rule set of fuzzy expert system to provide connections between the fuzzy variables in order to obtain the changes that occur in the input sensor. The computer program of fuzzy system is analysed. Obtained results are discussed and conclusions are made.

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