Blog Archives

Agent-based modeling and simulation of emergent behavior in air transportation

Ongoing Research

S.Bouarfa, H.A.P.Blom, R.Curran and M.H.C.Everdij Complex Adaptive Systems Modeling, 1:15, 2013 http://www.casmodeling.com/content/1/1/15 This is an interesting example of using multi-agent modelling of planes taxiing at an airport, which discovers the possibility of critical incidents not anticipated by the designers of

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Parallelization of Deep Networks

Ongoing Research

Grazia, M. D., Stoianov, I., & Sorzil, M. (2012). ESANN 2012 proceedings, European Symposium on Artificial Neural Networks, Computational Intelligence http://ccnl.psy.unipd.it/publications/publications_folder/parallelization-of-deep-networks/view This paper addresses the parallelization of AI techniques in order to improve performance; these techniques could be used within

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Deep learning with COTS HPC Systems

Ongoing Research

Coates, A., Huval, B., Wang, T., Wu, D. J., Ng, A. Y., & Catanzaro, B. Stanford, CA: Stanford University Computer Science Dept., 2013 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.308.9984 This paper addresses the parallelization of AI techniques in order to improve performance; these techniques could

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Norm emergence in agent societies formed by dynamically changing networks

Ongoing Research

Savarimuthu, Bastin Tony Roy, Stephen Cranefield, Martin K. Purvis, and Maryam A. Purvis Web Intelligence and Agent Systems 7, no. 3 (2009): 223-232. DOI 10.3233/WIA-2009-0164 The area of normative systems where norms are shaped by an agent’s internal influences (values)

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Specifying norm-governed computational societies

Ongoing Research

Artikis, Alexander, Marek Sergot, and Jeremy Pitt ACM Transactions on Computational Logic (TOCL) 10.1 (2009): 1. DOI 10.1145/1459010.1459011 The area of normative systems where norms are shaped by an agent’s internal influences (values) and external pressures (sanctions, rewards) is a

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Challenges in the design of adaptive, intelligent and cognitive systems

Ongoing Research

Witold Kinsner International Journal Software Science & Computational Intelligence, vol. 1, no. 3, pp. 16-35, July-Sept. 2009. http://www.irma-international.org/viewtitle/34086/ Mono and collective adaptive systems are not easy to model and implement. Perhaps “adaptive” is too narrow to solve difficult problems.

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Design patterns from biology for distributed computing

Ongoing Research

Ozalp Babaoglu, Geoffrey Canright, Andreas Deutsch, Gianni A. Di Caro, Frederick Ducatelle, Luca M. Gambardella, Niloy Ganguly, Márk Jelasity, Roberto Montemanni, Alberto Montresor, Tore Urnes ACM Transactions on Autonomous and Adaptive Systems 1(1), pp.26-66. September 2006. DOI 10.1145/1152934.1152937 This paper

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Coupled adaptive complex networks

Ongoing Research

Saray Shai and Simon Dobson Physical Review E 87(4). April 2013. DOI 10.1103/PhysRevE.87.042812 An example of complex network analysis applied to coupled networks that could be used to represent real phenomena.

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FORMS: Unifying Reference Model for Formal Specification of Distributed Self-Adaptive Systems

Ongoing Research

Danny Weyns, Sam Malek and Jesper Andersson ACM Transactions on Autonomous and Adaptive Systems (ISSN 1556-4665) DOI 10.1145/2168260.2168268 This paper provides a formal model, called FOrmal Reference Model for Self-adaptation (FORMS), to reason about underlying principles of self-adaptive systems.

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Engineering and Mastering Interwoven Systems

Ongoing Research

Sven Tomforde, Jorg Hähner, Hella Seebach, Wolfgang Reif, Bernhard Sick, Arno Wacker, Ingo Scholtes Proceedings of the 2nd International Workshop on Self-optimisation in Organic and Autonomic Computing Systems (SAOS14) in conjunction with ARCS 2014 http://link.springer.com/article/10.1007%2Fs00287-014-0827-z This paper provides a general

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