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Complex Adaptive Systems Modeling
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  4. Complex adaptive systems provide a significant number of concepts such as reaction, interaction, adaptation, and evolution. In general, these concepts are modelled employing different techniques which give an ...

    Authors: Abdessamad Jarrar, Abderrahim Ait Wakrime and Youssef Balouki

    Citation: Complex Adaptive Systems Modeling 2020 8:3

    Content type: Research

    Published on:

  9. Mobile contactless payment (MCP) is the future technology that is used for mobile payments, mobile wallet, transportation, and for mobile coupons. Existing solutions in this realm do not ensure end-to-end comm...

    Authors: Shaik Shakeel Ahamad and Al-Sakib Khan Pathan

    Citation: Complex Adaptive Systems Modeling 2019 7:3

    Content type: Research

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  12. The current paper shows the multi-agents capabilities for valid and flexible applications when using a framework. Agent-based functions were used within JADE framework for an Android messaging application with...

    Authors: Camelia-M. Pintea, Andreea Camelia Tripon, Anca Avram and Gloria-Cerasela Crişan

    Citation: Complex Adaptive Systems Modeling 2018 6:10

    Content type: Research

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  15. With ever-growing numbers of passengers and complexity of the air transport system, it becomes more and more of a challenge to manage the system in an effective, safe, and resilient manner. This is especially ...

    Authors: Anne-Nynke Blok, Alexei Sharpanskykh and Matthieu Vert

    Citation: Complex Adaptive Systems Modeling 2018 6:7

    Content type: Research

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  16. Air traffic control system in airports is one of the most complex systems in the context of air traffic management due to the huge number of requirements. In order to help engineers to develop such complex sys...

    Authors: Abdessamad Jarrar and Youssef Balouki

    Citation: Complex Adaptive Systems Modeling 2018 6:6

    Content type: Research

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  17. Smart grid can be considered as the next step in the evolution of power systems. It comprises of different entities and objects ranging from smart appliances, smart meters, generators, smart storages, and more...

    Authors: Waseem Akram and Muaz A. Niazi

    Citation: Complex Adaptive Systems Modeling 2018 6:5

    Content type: Methodology

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  18. The use of online social media is also connected with the real world. A very common example of this is the effect of social media coverage on the chances of success of elections. Previous literature has identi...

    Authors: Yousra Asim, Muaz A. Niazi, Basit Raza and Ahmad Kamran Malik

    Citation: Complex Adaptive Systems Modeling 2018 6:4

    Content type: Research

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  19. Mathematical modelling provides mechanistic insight of an infirmity by emulating the course of disease on individual or group level under various interventions and hence makes pragmatic contribution to complem...

    Authors: Ayesha Sohail, Lubna Sherin, Zhiwu Li and Qasim Ali Chaudhry

    Citation: Complex Adaptive Systems Modeling 2018 6:3

    Content type: Research

    Published on:

  21. Exploring and understanding outputs from agent-based models is challenging due to a relatively higher number of parameters and multidimensionality of the generated data. We use a combination of exploratory and...

    Authors: M. Hammad Patel, Mujtaba Ahmed Abbasi, M. Saeed and Shah Jamal Alam

    Citation: Complex Adaptive Systems Modeling 2018 6:1

    Content type: Methodology

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  22. Bone is comprised of an enormously hierarchical construction that promotes transportation of necessary fluids and solids, guaranteeing accurate function and growth. Bone remodeling is a combined process of bon...

    Authors: Sana Javed, Ayesha Sohail, Khadija Maqbool, Saad Ihsan Butt and Qasim Ali Chaudhry

    Citation: Complex Adaptive Systems Modeling 2017 5:12

    Content type: Research

    Published on:

  29. Collaboration has become a cornerstone in biomedical research today. In contrast to physics which has a long history and experience in collaborative projects, biology is only recently becoming an evermore coll...

    Authors: J. Mario Siqueiros-García, Rodrigo García-Herrera, Enrique Hernández-Lemus and Sergio Alcalá-Corona

    Citation: Complex Adaptive Systems Modeling 2017 5:5

    Content type: Research

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  31. The foraging task is one of the canonical testbeds for cooperative robotics, in which a collection of robots has to search and transport objects to specific storage point(s). In this paper, we investigate the Mu...

    Authors: Ouarda Zedadra, Nicolas Jouandeau, Hamid Seridi and Giancarlo Fortino

    Citation: Complex Adaptive Systems Modeling 2017 5:3

    Content type: Review

    Published on:

  32. Medieval logic defined reference as a relation between language and objects in the world. Recently, however, the term ``representational token'' has been used instead of language (Reimer and Michaelson in The...

    Authors: Roland Hausser

    Citation: Complex Adaptive Systems Modeling 2017 5:2

    Content type: Research

    Published on:

  33. In this article, we model a behavior-based strategy of autonomous coverage and exploration at the scale of a city with multiple robots. The behavioral components are motivated by Cepeda et al. (Sensors 12 (9):...

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

    Citation: Complex Adaptive Systems Modeling 2017 5:1

    Content type: Short report

    Published on:

  36. Internet of things (IoT) is an interaction between more than one network to facilitate communication. These networks by themselves are complex networks. Therefore, IoT network is expected to grow at unpreceden...

    Authors: Ahmed B. Altamimi and Rabie A. Ramadan

    Citation: Complex Adaptive Systems Modeling 2016 4:25

    Content type: Research

    Published on:

  39. In this paper, we propose a novel method for semi-supervised learning by combining graph embedding and sparse regression, termed as graph embedding and sparse regression with structure low rank representation ...

    Authors: Cong-Zhe You, Vasile Palade and Xiao-Jun Wu

    Citation: Complex Adaptive Systems Modeling 2016 4:22

    Content type: Research

    Published on:

  43. Complex self-organizing cognitive radio (CR) networks serve as a framework for accessing the spectrum allocation dynamically where the vacant channels can be used by CR nodes opportunistically. CR devices must...

    Authors: Munam Ali Shah, Sijing Zhang, Muhammad Kamran, Qaisar Javaid and Bahjat Fatima

    Citation: Complex Adaptive Systems Modeling 2016 4:18

    Content type: Review

    Published on:

    The Erratum to this article has been published in Complex Adaptive Systems Modeling 2016 4:26

  44. Recent advancements in technology have enabled railway organizations to shift from manual to computer based automated interlocking systems for increasing their efficiency and profits. Since automated systems a...

    Authors: Umar Khan, Jamil Ahmad, Tariq Saeed and Sikandar Hayat Mirza

    Citation: Complex Adaptive Systems Modeling 2016 4:17

    Content type: Research

    Published on:

  45. Opinions continuously evolve in society. While conservative ideas may get replaced by a new one, some views remain immutable. Opinion formation and innovation diffusion have witnessed lots of attention in the ...

    Authors: Ishank Sharma, Bishwaraj Chourasia, Abhishek Bhatia and Rinkaj Goyal

    Citation: Complex Adaptive Systems Modeling 2016 4:16

    Content type: Short Report

    Published on:

  48. In the real world, agents or entities are in a continuous state of interactions. These interactions lead to various types of complexity dynamics. One key difficulty in the study of complex agent interactions i...

    Authors: Aisha D. Farooqui and Muaz A. Niazi

    Citation: Complex Adaptive Systems Modeling 2016 4:13

    Content type: Review

    Published on:

  49. 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:

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  • ISSN: 2194-3206 (electronic)