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Complex Adaptive Systems Modeling
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  1. This multidisciplinary industrial research project sets out to develop a hybrid clinical decision support mechanism (inspired by ontology and machine learning driven techniques) by combining evidence, extrapol...

    Authors: Kamran Farooq and Amir Hussain

    Citation: Complex Adaptive Systems Modeling 2016 4:12

    Content type: Research

    Published on:

  3. This paper studies the influence of information and communication technologies on human reasoning and decision making. It investigates the potential impact of ambient intelligence on change in pedestrian mobil...

    Authors: Kashif Zia, Alois Ferscha, Ahmad Din, Khurram Shahzad and Awais Majeed

    Citation: Complex Adaptive Systems Modeling 2016 4:10

    Content type: Research

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  5. Due to the large quantity of data that are recorded in energy efficient buildings, understanding the behavior of various underlying operations has become a complex and challenging task. This paper proposes a m...

    Authors: Usman Habib, Khizar Hayat and Gerhard Zucker

    Citation: Complex Adaptive Systems Modeling 2016 4:8

    Content type: Research

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  6. Pharmaceutical industry is tightly regulated owing to health concerns. Over the years, the use of computational intelligence (CI) tools has increased in pharmaceutical research and development, manufacturing, ...

    Authors: Mohammad Hassan Khalid, Pawel Konrad Tuszyński, Pezhman Kazemi, Jakub Szlek, Renata Jachowicz and Aleksander Mendyk

    Citation: Complex Adaptive Systems Modeling 2016 4:7

    Content type: Research

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  8. Traditional machine learning techniques follow a single shot learning approach. It includes all supervised, semi-supervised, transfer learning, hybrid and unsupervised techniques having a single target domain ...

    Authors: M. Taimoor Khan, Mehr Durrani, Shehzad Khalid and Furqan Aziz

    Citation: Complex Adaptive Systems Modeling 2016 4:5

    Content type: Review

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  11. There is huge amount of content produced online by amateur authors, covering a large variety of topics. Sentiment analysis (SA) extracts and aggregates users’ sentiments towards a target entity. Machine learni...

    Authors: Muhammad Taimoor Khan, Mehr Durrani, Armughan Ali, Irum Inayat, Shehzad Khalid and Kamran Habib Khan

    Citation: Complex Adaptive Systems Modeling 2016 4:2

    Content type: Review

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  12. The complex interactions between genetic machinery of HIV-1 and host immune cells mediate dynamic adaptive responses leading to Autoimmune Deficiency Syndrome. These interactions are captured as Biological Reg...

    Authors: Zurah Bibi, Jamil Ahmad, Amjad Ali, Amnah Siddiqa, Shaheen Shahzad, Samar HK Tareen, Hussnain Ahmed Janjua and Shah Khusro

    Citation: Complex Adaptive Systems Modeling 2016 4:1

    Content type: Research

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  18. This paper describes dynamic agent composition, used to support the development of flexible and extensible large-scale agent-based models (ABMs). This approach was motivated by a need to extend and modify, with e...

    Authors: Fanny Boulaire, Mark Utting and Robin Drogemuller

    Citation: Complex Adaptive Systems Modeling 2015 3:1

    Content type: Research

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  19. Infectious diseases are the second leading cause of deaths worldwide, accounting for 15 million deaths – that is more than 25% of all deaths – each year. Food plays a crucial role, contributing to 1.5 million ...

    Authors: Matteo Convertino, Yang Liu and Haejin Hwang

    Citation: Complex Adaptive Systems Modeling 2014 2:6

    Content type: Research

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    The Erratum to this article has been published in Complex Adaptive Systems Modeling 2016 4:9

  20. Cloud computing systems represent one of the most complex computing systems currently in existence. Current applications of Cloud involve extensive use of distributed systems with varying degree of connectivit...

    Authors: Umme Habiba, Rahat Masood, Muhammad Awais Shibli and Muaz A Niazi

    Citation: Complex Adaptive Systems Modeling 2014 2:5

    Content type: Research

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  22. Following Holland, complex adaptive systems (CASs) are collections of interacting, autonomous, learning decision makers embedded in an interactive environment. Modeling CASs is challenging for a variety of rea...

    Authors: Michael J North

    Citation: Complex Adaptive Systems Modeling 2014 2:3

    Content type: Research

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  26. In the context of modernization and development, a complex adaptive systems framework can help address the coupling of macro social constraint and opportunity with individual agency. Combining system dynamics ...

    Authors: Mark Abdollahian, Zining Yang, Travis Coan and Birol Yesilada

    Citation: Complex Adaptive Systems Modeling 2013 1:18

    Content type: Research

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  28. Agent-based models are typically “simple-agent” models, in which agents behave according to simple rules, or “complex-agent” models which incorporate complex models of cognitive processes. I argue that there i...

    Authors: Marshall Abrams

    Citation: Complex Adaptive Systems Modeling 2013 1:16

    Content type: Methodology

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    The Erratum to this article has been published in Complex Adaptive Systems Modeling 2014 2:1

  29. Commercial aviation is feasible thanks to the complex socio-technical air transportation system, which involves interactions between human operators, technical systems, and procedures. In view of the expected ...

    Authors: Soufiane Bouarfa, Henk AP Blom, Richard Curran and Mariken HC Everdij

    Citation: Complex Adaptive Systems Modeling 2013 1:15

    Content type: Research

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  30. Online social networks (OSNs) are now among the most popular applications on the web offering platforms for people to interact, communicate and collaborate with others. The rapid development of OSNs provides o...

    Authors: Konglin Zhu, Wenzhong Li and Xiaoming Fu

    Citation: Complex Adaptive Systems Modeling 2013 1:14

    Content type: Research

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  31. Content delivery in dynamic networks is a challenging task, because paths may change during delivery and content might get lost. Replication is a typical measure to increase robustness and performance.

    Authors: Anita Sobe and Wilfried Elmenreich

    Citation: Complex Adaptive Systems Modeling 2013 1:13

    Content type: Research

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  32. The performance of an optimistic parallel discrete event simulator (PDES) in terms of the total simulation execution time of an experiment depends on a large set of variables. Many of them have a complex and g...

    Authors: Aditya Kurve, Khashayar Kotobi and George Kesidis

    Citation: Complex Adaptive Systems Modeling 2013 1:12

    Content type: Research

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  34. We propose an agent-based model for peer selection in the Internet at the Autonomous System (AS) level. The proposed model, GENESIS-CBA, is based on realistic constraints and provider selection mechanism, with AS...

    Authors: Aemen Lodhi, Amogh Dhamdhere and Constantine Dovrolis

    Citation: Complex Adaptive Systems Modeling 2013 1:10

    Content type: Research

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  35. We examine the role of information-based measures in detecting and analysing phase transitions. We contend that phase transitions have a general character, visible in transitions in systems as diverse as class...

    Authors: Terry Bossomaier, Lionel Barnett and Michael Harré

    Citation: Complex Adaptive Systems Modeling 2013 1:9

    Content type: Review

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  37. A crowd of pedestrians is a complex system in which individuals exhibit conflicting behavioural mechanisms leading to self-organisation phenomena. Computer models for the simulation of crowds represent a conso...

    Authors: Giuseppe Vizzari, Lorenza Manenti and Luca Crociani

    Citation: Complex Adaptive Systems Modeling 2013 1:7

    Content type: Research

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  38. Bioincising is a biotechnological process for improving the permeability of refractory wood such as Norway spruce heartwood using the wood-decay fungus Physisporinus vitreus. The degradation of the bordered pit m...

    Authors: Matthias Jörg Fuhr, Mark Schubert, Chris Stührk, Francis WMR Schwarze and Hans Jürg Herrmann

    Citation: Complex Adaptive Systems Modeling 2013 1:6

    Content type: Research

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  39. This paper proposes a method based on complex networks analysis, devised to perform clustering on multidimensional datasets. In particular, the method maps the elements of the dataset in hand to a weighted net...

    Authors: Giuliano Armano and Marco Alberto Javarone

    Citation: Complex Adaptive Systems Modeling 2013 1:5

    Content type: Methodology

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  41. This paper is to describe development of the features and functions of Repast Simphony, the widely used, free, and open source agent-based modeling environment that builds on the Repast 3 library. Repast Simph...

    Authors: Michael J North, Nicholson T Collier, Jonathan Ozik, Eric R Tatara, Charles M Macal, Mark Bragen and Pam Sydelko

    Citation: Complex Adaptive Systems Modeling 2013 1:3

    Content type: Research

    Published on:

  • ISSN: 2194-3206 (electronic)