際際滷shows by User: rlegendi / http://www.slideshare.net/images/logo.gif 際際滷shows by User: rlegendi / Sat, 15 Jun 2013 23:07:47 GMT 際際滷Share feed for 際際滷shows by User: rlegendi Tools For Statistical And Behavioral Analysis Of Mason Models /slideshow/aitia-mason/23049227 aitiamason-130615230748-phpapp02
Presentation @ NSF MASON Workshop NSF MASON Workshop George Mason University 15-16 June, 2013, Fairfax, USA]]>
Presentation @ NSF MASON Workshop NSF MASON Workshop George Mason University 15-16 June, 2013, Fairfax, USA]]> Sat, 15 Jun 2013 23:07:47 GMT /slideshow/aitia-mason/23049227 rlegendi@slideshare.net(rlegendi) Tools For Statistical And Behavioral Analysis Of Mason Models rlegendi Presentation @ NSF MASON Workshop NSF MASON Workshop George Mason University 15-16 June, 2013, Fairfax, USA <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/aitiamason-130615230748-phpapp02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Presentation @ NSF MASON Workshop NSF MASON Workshop George Mason University 15-16 June, 2013, Fairfax, USA
Tools For Statistical And Behavioral Analysis Of Mason Models from Richard Oliver Legendi
]]> 651 5 https://cdn.slidesharecdn.com/ss_thumbnails/aitiamason-130615230748-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds presentation White http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 When Experimental and Computational Research Meet: The Participatory Extension Module v2.0 /slideshow/pet2/22798667 pet2-130611053713-phpapp02
Abstract: Experimental and computational research is gaining more and more interest in the last decades in the field of social science and economics. Conducting laboratory experiments and incorporating heterogeneity within agent-based models help us get a better understanding of the analyzed phenomena and the micro-macro rules driving them by taking the human factor into account -- either directly or through stylized personal preferences. Our contribution is a new tool called the Participatory Extension Module v2.0 which is intended to help scientists conducting mixed-method research (i.e., perform experimental research using existing agent-based models). It is an improved version of the original PET [1], a robust and generic web framework that allows modellers to extend their models to participatory simulations. It is a set of web applications that incorporates agent-based simulations into a web interface compatible with any of the major web browsers, enabling users to administrate, run and participate in simulations in a way that they are familiar with, applying the mechanisms and practices they use every day while browsing web-pages and using other web-based applications. Applications of PET v2.0 may include online case studies for demonstrative and teaching purposes, or the conduct of lab experiments for behavioural studies of a model. The presentation includes a hands-on live demo of the features of the framework using a widely known model. [1] Ivanyi, Marton, Rajmund Bocsi, Laszlo Gulyas, Vilmos Kozma and Richard Legendi. "The multi-agent simulation suite." In Emergent Agents and Socialities: Social and Organizational Aspects of Intelligence. Papers from the 2007 AAAI Fall Symposium, pp. 57-64. 2007.]]>
Abstract: Experimental and computational research is gaining more and more interest in the last decades in the field of social science and economics. Conducting laboratory experiments and incorporating heterogeneity within agent-based models help us get a better understanding of the analyzed phenomena and the micro-macro rules driving them by taking the human factor into account -- either directly or through stylized personal preferences. Our contribution is a new tool called the Participatory Extension Module v2.0 which is intended to help scientists conducting mixed-method research (i.e., perform experimental research using existing agent-based models). It is an improved version of the original PET [1], a robust and generic web framework that allows modellers to extend their models to participatory simulations. It is a set of web applications that incorporates agent-based simulations into a web interface compatible with any of the major web browsers, enabling users to administrate, run and participate in simulations in a way that they are familiar with, applying the mechanisms and practices they use every day while browsing web-pages and using other web-based applications. Applications of PET v2.0 may include online case studies for demonstrative and teaching purposes, or the conduct of lab experiments for behavioural studies of a model. The presentation includes a hands-on live demo of the features of the framework using a widely known model. [1] Ivanyi, Marton, Rajmund Bocsi, Laszlo Gulyas, Vilmos Kozma and Richard Legendi. "The multi-agent simulation suite." In Emergent Agents and Socialities: Social and Organizational Aspects of Intelligence. Papers from the 2007 AAAI Fall Symposium, pp. 57-64. 2007.]]> Tue, 11 Jun 2013 05:37:13 GMT /slideshow/pet2/22798667 rlegendi@slideshare.net(rlegendi) When Experimental and Computational Research Meet: The Participatory Extension Module v2.0 rlegendi Abstract: Experimental and computational research is gaining more and more interest in the last decades in the field of social science and economics. Conducting laboratory experiments and incorporating heterogeneity within agent-based models help us get a better understanding of the analyzed phenomena and the micro-macro rules driving them by taking the human factor into account -- either directly or through stylized personal preferences. Our contribution is a new tool called the Participatory Extension Module v2.0 which is intended to help scientists conducting mixed-method research (i.e., perform experimental research using existing agent-based models). It is an improved version of the original PET [1], a robust and generic web framework that allows modellers to extend their models to participatory simulations. It is a set of web applications that incorporates agent-based simulations into a web interface compatible with any of the major web browsers, enabling users to administrate, run and participate in simulations in a way that they are familiar with, applying the mechanisms and practices they use every day while browsing web-pages and using other web-based applications. Applications of PET v2.0 may include online case studies for demonstrative and teaching purposes, or the conduct of lab experiments for behavioural studies of a model. The presentation includes a hands-on live demo of the features of the framework using a widely known model. [1] Ivanyi, Marton, Rajmund Bocsi, Laszlo Gulyas, Vilmos Kozma and Richard Legendi. "The multi-agent simulation suite." In Emergent Agents and Socialities: Social and Organizational Aspects of Intelligence. Papers from the 2007 AAAI Fall Symposium, pp. 57-64. 2007. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/pet2-130611053713-phpapp02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Abstract: Experimental and computational research is gaining more and more interest in the last decades in the field of social science and economics. Conducting laboratory experiments and incorporating heterogeneity within agent-based models help us get a better understanding of the analyzed phenomena and the micro-macro rules driving them by taking the human factor into account -- either directly or through stylized personal preferences. Our contribution is a new tool called the Participatory Extension Module v2.0 which is intended to help scientists conducting mixed-method research (i.e., perform experimental research using existing agent-based models). It is an improved version of the original PET [1], a robust and generic web framework that allows modellers to extend their models to participatory simulations. It is a set of web applications that incorporates agent-based simulations into a web interface compatible with any of the major web browsers, enabling users to administrate, run and participate in simulations in a way that they are familiar with, applying the mechanisms and practices they use every day while browsing web-pages and using other web-based applications. Applications of PET v2.0 may include online case studies for demonstrative and teaching purposes, or the conduct of lab experiments for behavioural studies of a model. The presentation includes a hands-on live demo of the features of the framework using a widely known model. [1] Ivanyi, Marton, Rajmund Bocsi, Laszlo Gulyas, Vilmos Kozma and Richard Legendi. &quot;The multi-agent simulation suite.&quot; In Emergent Agents and Socialities: Social and Organizational Aspects of Intelligence. Papers from the 2007 AAAI Fall Symposium, pp. 57-64. 2007.
When Experimental and Computational Research Meet: The Participatory Extension Module v2.0 from Richard Oliver Legendi
]]> 624 4 https://cdn.slidesharecdn.com/ss_thumbnails/pet2-130611053713-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds presentation White http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Comparison of Elementary Dynamic Network Models Using Empirical Data /slideshow/edn-tdn-net-sci-2013/22797990 edntdnnetsci2013-130611052425-phpapp01
Inspecting dynamics of networks opens up a new dimension in the understanding or mechanisms behind real-world systems. Involving the time factor may help identifying previously hidden (or otherwise hard to recognize) phenomenon and/or patterns compared to static analysis, like individuals periodically changing between groups within a community. Concentrating on edge dynamics, we defined a set of dynamic network models with various rules (including creating new and relinking edges randomly, by using assortative mixing or preferential attachment strategies) to analyize the evolution of different network properties. Starting from an initial network created by classical network models (like the Erdos-Renyi model) we examined the evolution of basic structural network properties (including density, clustering, average path length, number of components, degree distribution and betweennes centralities). The structure of the snapshot network (i.e., the network that is actually observed in a given instant of time) and the cumulative network (i.e., the network that is constructed by collecting and aggregating several samples of snapshot networks over a period of time) is inherently different, but we also found that certain properties have a strong dependence on the sampling windows length: we made experiments through computer simulations with various aggregation time windows and found that it has a great impact on the results. In our presentation, we would like to briefly introduce the key findings of our previous results regarding to the elementary dynamic network models, and compare the theoretical results obtained from evaluating different empirical data sets. The selected data sets used for the comparison include political event data compiled from English-language news reports and a dataset created to analyze internet-mediated sexual encounters in Brazil.]]>
Inspecting dynamics of networks opens up a new dimension in the understanding or mechanisms behind real-world systems. Involving the time factor may help identifying previously hidden (or otherwise hard to recognize) phenomenon and/or patterns compared to static analysis, like individuals periodically changing between groups within a community. Concentrating on edge dynamics, we defined a set of dynamic network models with various rules (including creating new and relinking edges randomly, by using assortative mixing or preferential attachment strategies) to analyize the evolution of different network properties. Starting from an initial network created by classical network models (like the Erdos-Renyi model) we examined the evolution of basic structural network properties (including density, clustering, average path length, number of components, degree distribution and betweennes centralities). The structure of the snapshot network (i.e., the network that is actually observed in a given instant of time) and the cumulative network (i.e., the network that is constructed by collecting and aggregating several samples of snapshot networks over a period of time) is inherently different, but we also found that certain properties have a strong dependence on the sampling windows length: we made experiments through computer simulations with various aggregation time windows and found that it has a great impact on the results. In our presentation, we would like to briefly introduce the key findings of our previous results regarding to the elementary dynamic network models, and compare the theoretical results obtained from evaluating different empirical data sets. The selected data sets used for the comparison include political event data compiled from English-language news reports and a dataset created to analyze internet-mediated sexual encounters in Brazil.]]> Tue, 11 Jun 2013 05:24:25 GMT /slideshow/edn-tdn-net-sci-2013/22797990 rlegendi@slideshare.net(rlegendi) Comparison of Elementary Dynamic Network Models Using Empirical Data rlegendi Inspecting dynamics of networks opens up a new dimension in the understanding or mechanisms behind real-world systems. Involving the time factor may help identifying previously hidden (or otherwise hard to recognize) phenomenon and/or patterns compared to static analysis, like individuals periodically changing between groups within a community. Concentrating on edge dynamics, we defined a set of dynamic network models with various rules (including creating new and relinking edges randomly, by using assortative mixing or preferential attachment strategies) to analyize the evolution of different network properties. Starting from an initial network created by classical network models (like the Erdos-Renyi model) we examined the evolution of basic structural network properties (including density, clustering, average path length, number of components, degree distribution and betweennes centralities). The structure of the snapshot network (i.e., the network that is actually observed in a given instant of time) and the cumulative network (i.e., the network that is constructed by collecting and aggregating several samples of snapshot networks over a period of time) is inherently different, but we also found that certain properties have a strong dependence on the sampling windows length: we made experiments through computer simulations with various aggregation time windows and found that it has a great impact on the results. In our presentation, we would like to briefly introduce the key findings of our previous results regarding to the elementary dynamic network models, and compare the theoretical results obtained from evaluating different empirical data sets. The selected data sets used for the comparison include political event data compiled from English-language news reports and a dataset created to analyze internet-mediated sexual encounters in Brazil. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/edntdnnetsci2013-130611052425-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Inspecting dynamics of networks opens up a new dimension in the understanding or mechanisms behind real-world systems. Involving the time factor may help identifying previously hidden (or otherwise hard to recognize) phenomenon and/or patterns compared to static analysis, like individuals periodically changing between groups within a community. Concentrating on edge dynamics, we defined a set of dynamic network models with various rules (including creating new and relinking edges randomly, by using assortative mixing or preferential attachment strategies) to analyize the evolution of different network properties. Starting from an initial network created by classical network models (like the Erdos-Renyi model) we examined the evolution of basic structural network properties (including density, clustering, average path length, number of components, degree distribution and betweennes centralities). The structure of the snapshot network (i.e., the network that is actually observed in a given instant of time) and the cumulative network (i.e., the network that is constructed by collecting and aggregating several samples of snapshot networks over a period of time) is inherently different, but we also found that certain properties have a strong dependence on the sampling windows length: we made experiments through computer simulations with various aggregation time windows and found that it has a great impact on the results. In our presentation, we would like to briefly introduce the key findings of our previous results regarding to the elementary dynamic network models, and compare the theoretical results obtained from evaluating different empirical data sets. The selected data sets used for the comparison include political event data compiled from English-language news reports and a dataset created to analyze internet-mediated sexual encounters in Brazil.
Comparison of Elementary Dynamic Network Models Using Empirical Data from Richard Oliver Legendi
]]> 713 5 https://cdn.slidesharecdn.com/ss_thumbnails/edntdnnetsci2013-130611052425-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Model Replication in the Context of Agent-based Simulation /slideshow/model-replication-in-the-context-of-agentbased-simulation/14167684 2012ecpamlegendimodelreplicationinabm-120904125454-phpapp02
My presentation held at the 1st European Conference on Political Attitudes and Mentalities (ECPAM 2012) conference, Bucharest, Romania, September 3-5, 2012. Electronic paper link: http://mass.aitia.ai/images/publikaciok/2012-ecpam-replication_case_studies-camera_ready.pdf Abstract: This paper examines model replication in the context of agent-based simulation through two case studies. Replication of a computational model and validation of its results is an essential tool for scientific researchers, but it is rarely used by modelers. In our work we address the question of validating and verifying simulations in general, and summarize our experience in approaching different models through replication with different motivations. Two models are discussed in details. The first one is an agent-based spatial adaptation of a numerical model, while the second experiment addresses the exact replication of an existing economic model.]]>
My presentation held at the 1st European Conference on Political Attitudes and Mentalities (ECPAM 2012) conference, Bucharest, Romania, September 3-5, 2012. Electronic paper link: http://mass.aitia.ai/images/publikaciok/2012-ecpam-replication_case_studies-camera_ready.pdf Abstract: This paper examines model replication in the context of agent-based simulation through two case studies. Replication of a computational model and validation of its results is an essential tool for scientific researchers, but it is rarely used by modelers. In our work we address the question of validating and verifying simulations in general, and summarize our experience in approaching different models through replication with different motivations. Two models are discussed in details. The first one is an agent-based spatial adaptation of a numerical model, while the second experiment addresses the exact replication of an existing economic model.]]> Tue, 04 Sep 2012 12:54:53 GMT /slideshow/model-replication-in-the-context-of-agentbased-simulation/14167684 rlegendi@slideshare.net(rlegendi) Model Replication in the Context of Agent-based Simulation rlegendi My presentation held at the 1st European Conference on Political Attitudes and Mentalities (ECPAM 2012) conference, Bucharest, Romania, September 3-5, 2012. Electronic paper link: http://mass.aitia.ai/images/publikaciok/2012-ecpam-replication_case_studies-camera_ready.pdf Abstract: This paper examines model replication in the context of agent-based simulation through two case studies. Replication of a computational model and validation of its results is an essential tool for scientific researchers, but it is rarely used by modelers. In our work we address the question of validating and verifying simulations in general, and summarize our experience in approaching different models through replication with different motivations. Two models are discussed in details. The first one is an agent-based spatial adaptation of a numerical model, while the second experiment addresses the exact replication of an existing economic model. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/2012ecpamlegendimodelreplicationinabm-120904125454-phpapp02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> My presentation held at the 1st European Conference on Political Attitudes and Mentalities (ECPAM 2012) conference, Bucharest, Romania, September 3-5, 2012. Electronic paper link: http://mass.aitia.ai/images/publikaciok/2012-ecpam-replication_case_studies-camera_ready.pdf Abstract: This paper examines model replication in the context of agent-based simulation through two case studies. Replication of a computational model and validation of its results is an essential tool for scientific researchers, but it is rarely used by modelers. In our work we address the question of validating and verifying simulations in general, and summarize our experience in approaching different models through replication with different motivations. Two models are discussed in details. The first one is an agent-based spatial adaptation of a numerical model, while the second experiment addresses the exact replication of an existing economic model.
Model Replication in the Context of Agent-based Simulation from Richard Oliver Legendi
]]> 1516 6 https://cdn.slidesharecdn.com/ss_thumbnails/2012ecpamlegendimodelreplicationinabm-120904125454-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds presentation White http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Replication of Macroeconomics from the Bottom-up /slideshow/replication-of-macroeconomics-from-the-bottomup/13418790 wehialegendireplicationofgattismodelv1-1-120622075422-phpapp01
Presentation held at the 17th Annual Workshop on Economic Heterogeneous Interacting Agents WEHIA 2012, Paris, June 21-23, 2012. Abstract: Agent-based approaches are getting more and more attention recently. In our current work we replicated the initial model of Domenico Delli Gatti et al. described in their work entitled Macroeconomics from the Bottom-up. We address the question of validating and verifying simulations in general, also in the context of economic modelling, and summarize the lessons we learnt from the replication of the aforementioned model. The results highlight the importance of explicit documentation of the actors, timing of the events, and partial results that replicate the hallmarks of the model which can be verified independently with a set of simulation runs. You can find details in the paper included in the electronic conference proceedings!]]>
Presentation held at the 17th Annual Workshop on Economic Heterogeneous Interacting Agents WEHIA 2012, Paris, June 21-23, 2012. Abstract: Agent-based approaches are getting more and more attention recently. In our current work we replicated the initial model of Domenico Delli Gatti et al. described in their work entitled Macroeconomics from the Bottom-up. We address the question of validating and verifying simulations in general, also in the context of economic modelling, and summarize the lessons we learnt from the replication of the aforementioned model. The results highlight the importance of explicit documentation of the actors, timing of the events, and partial results that replicate the hallmarks of the model which can be verified independently with a set of simulation runs. You can find details in the paper included in the electronic conference proceedings!]]> Fri, 22 Jun 2012 07:54:20 GMT /slideshow/replication-of-macroeconomics-from-the-bottomup/13418790 rlegendi@slideshare.net(rlegendi) Replication of Macroeconomics from the Bottom-up rlegendi Presentation held at the 17th Annual Workshop on Economic Heterogeneous Interacting Agents 鐃WEHIA 2012, Paris, June 21-23, 2012. Abstract: Agent-based approaches are getting more and more attention recently. In our current work we replicated the initial model of Domenico Delli Gatti et al. described in their work entitled Macroeconomics from the Bottom-up. We address the question of validating and verifying simulations in general, also in the context of economic modelling, and summarize the lessons we learnt from the replication of the aforementioned model. The results highlight the importance of explicit documentation of the actors, timing of the events, and partial results that replicate the hallmarks of the model which can be verified independently with a set of simulation runs. You can find details in the paper included in the electronic conference proceedings! <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/wehialegendireplicationofgattismodelv1-1-120622075422-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Presentation held at the 17th Annual Workshop on Economic Heterogeneous Interacting Agents 鐃WEHIA 2012, Paris, June 21-23, 2012. Abstract: Agent-based approaches are getting more and more attention recently. In our current work we replicated the initial model of Domenico Delli Gatti et al. described in their work entitled Macroeconomics from the Bottom-up. We address the question of validating and verifying simulations in general, also in the context of economic modelling, and summarize the lessons we learnt from the replication of the aforementioned model. The results highlight the importance of explicit documentation of the actors, timing of the events, and partial results that replicate the hallmarks of the model which can be verified independently with a set of simulation runs. You can find details in the paper included in the electronic conference proceedings!
Replication of Macroeconomics from the Bottom-up from Richard Oliver Legendi
]]> 890 4 https://cdn.slidesharecdn.com/ss_thumbnails/wehialegendireplicationofgattismodelv1-1-120622075422-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Szoftver tesztel辿s鐃 - Gyakorlati j坦-ha-tudod /slideshow/szoftver-tesztels-gyakorlati-jhatudod/13207672 20120528ricsitesting-120605084832-phpapp02
C辿ges szemin叩rium, k旦rk辿p a haszn叩lt tesztel keretrendszerekrl.]]>
C辿ges szemin叩rium, k旦rk辿p a haszn叩lt tesztel keretrendszerekrl.]]> Tue, 05 Jun 2012 08:48:31 GMT /slideshow/szoftver-tesztels-gyakorlati-jhatudod/13207672 rlegendi@slideshare.net(rlegendi) Szoftver tesztel辿s鐃 - Gyakorlati j坦-ha-tudod rlegendi C辿ges szemin叩rium, k旦rk辿p a haszn叩lt tesztel keretrendszerekrl. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/20120528ricsitesting-120605084832-phpapp02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> C辿ges szemin叩rium, k旦rk辿p a haszn叩lt tesztel keretrendszerekrl.
Szoftver tesztel莨s - Gyakorlati j-ha-tudod from Richard Oliver Legendi
]]> 2037 3 https://cdn.slidesharecdn.com/ss_thumbnails/20120528ricsitesting-120605084832-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 ELTE VI. f辿l辿ves doktori besz叩mol坦 /slideshow/elte-vi-flves-doktori-beszmol/13190040 vifelevesbeszamololegendiv1-0-120604042517-phpapp02
2012.06.04., VI. f辿l辿ves doktori besz叩mol坦n tartott elad叩sf坦li叩k.]]>
2012.06.04., VI. f辿l辿ves doktori besz叩mol坦n tartott elad叩sf坦li叩k.]]> Mon, 04 Jun 2012 04:25:16 GMT /slideshow/elte-vi-flves-doktori-beszmol/13190040 rlegendi@slideshare.net(rlegendi) ELTE VI. f辿l辿ves doktori besz叩mol坦 rlegendi 2012.06.04., VI. f辿l辿ves doktori besz叩mol坦n tartott elad叩sf坦li叩k. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/vifelevesbeszamololegendiv1-0-120604042517-phpapp02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> 2012.06.04., VI. f辿l辿ves doktori besz叩mol坦n tartott elad叩sf坦li叩k.
ELTE VI. f莨l莨ves doktori beszmol from Richard Oliver Legendi
]]> 553 2 https://cdn.slidesharecdn.com/ss_thumbnails/vifelevesbeszamololegendiv1-0-120604042517-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds presentation White http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Fables - Funkcion叩lis programoz叩si nyelv 鐃獣gens-alap炭 szimul叩ci坦khoz /slideshow/fables-funkcionlis-programozsi-nyelv-gensalap-szimulcikhoz/8427415 ikkkneumannlegendifables-110626095929-phpapp02
Ikkk neumann legendi_fables]]>
Ikkk neumann legendi_fables]]> Sun, 26 Jun 2011 09:59:25 GMT /slideshow/fables-funkcionlis-programozsi-nyelv-gensalap-szimulcikhoz/8427415 rlegendi@slideshare.net(rlegendi) Fables - Funkcion叩lis programoz叩si nyelv 鐃獣gens-alap炭 szimul叩ci坦khoz rlegendi Ikkk neumann legendi_fables <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/ikkkneumannlegendifables-110626095929-phpapp02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Ikkk neumann legendi_fables
Fables - Funkcionlis programozsi nyelv gens-alap szimulcikhoz from Richard Oliver Legendi
]]> 353 1 https://cdn.slidesharecdn.com/ss_thumbnails/ikkkneumannlegendifables-110626095929-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 FABLES IME 鐃- Agent-Based Modeling environment /slideshow/fables-ime-agentbased-modeling-environment/8427396 fablesime-110626095133-phpapp02
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]]> Sun, 26 Jun 2011 09:51:30 GMT /slideshow/fables-ime-agentbased-modeling-environment/8427396 rlegendi@slideshare.net(rlegendi) FABLES IME 鐃- Agent-Based Modeling environment rlegendi <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/fablesime-110626095133-phpapp02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br>
FABLES IME - Agent-Based Modeling environment from Richard Oliver Legendi
]]> 554 5 https://cdn.slidesharecdn.com/ss_thumbnails/fablesime-110626095133-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 2011 Eclipse DemoCamp Budapest, Indigo Release /slideshow/2011-eclipse-democampbudapestindigo/8426492 2011eclipsedemocampbudapestindigo-110626052538-phpapp01
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]]> Sun, 26 Jun 2011 05:25:35 GMT /slideshow/2011-eclipse-democampbudapestindigo/8426492 rlegendi@slideshare.net(rlegendi) 2011 Eclipse DemoCamp Budapest, Indigo Release rlegendi <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/2011eclipsedemocampbudapestindigo-110626052538-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br>
2011 Eclipse DemoCamp Budapest, Indigo Release from Richard Oliver Legendi
]]> 627 3 https://cdn.slidesharecdn.com/ss_thumbnails/2011eclipsedemocampbudapestindigo-110626052538-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 2010/04/28 IK Szakest, gens-alap炭 szimul叩ci坦k /slideshow/20100428-ik-szakest-gensalap-szimulcik/7779410 20100428ikszakestlegendi-110429120639-phpapp01
Az ELTE HK szervez辿s辿ben Esem辿ny: http://bit.ly/ikszakest K辿pek: http://on.fb.me/jjkGrl]]>
Az ELTE HK szervez辿s辿ben Esem辿ny: http://bit.ly/ikszakest K辿pek: http://on.fb.me/jjkGrl]]> Fri, 29 Apr 2011 12:06:36 GMT /slideshow/20100428-ik-szakest-gensalap-szimulcik/7779410 rlegendi@slideshare.net(rlegendi) 2010/04/28 IK Szakest, gens-alap炭 szimul叩ci坦k rlegendi Az ELTE HK szervez辿s辿ben Esem辿ny: http://bit.ly/ikszakest K辿pek: http://on.fb.me/jjkGrl <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/20100428ikszakestlegendi-110429120639-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Az ELTE HK szervez辿s辿ben Esem辿ny: http://bit.ly/ikszakest K辿pek: http://on.fb.me/jjkGrl
2010/04/28 IK Szakest, ens-alap szimulcik from Richard Oliver Legendi
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