ACM Transactions on

Autonomous and Adaptive Systems (TAAS)

Latest Articles

Managing Server Clusters on Renewable Energy Mix

As climate change has become a global concern and server energy demand continues to soar, many IT companies have started to explore server clusters running on various renewable energy sources. Existing green data center designs often yield suboptimal performance as they only look at a certain specific type of energy source. This article explores... (more)

An Auction Mechanism for Cloud Spot Markets

Dynamic forms of resource pricing have recently been introduced by cloud providers that offer Infrastructure as a Service (IaaS) capabilities in order to maximize profits and balance resource supply and demand. The design of a mechanism that efficiently prices perishable cloud resources in line with a provider’s profit maximization goal... (more)

Using Imitation to Build Collaborative Agents

The article presents an approach to learn collaborative strategies among multiple agents via imitation. Imitation-based learning involves learning from an expert by observing the demonstration of a task and then replicating it. This mechanism makes it convenient for a knowledge engineer to transfer knowledge to a software agent. This article... (more)

Privacy Policy Negotiation in Social Media

Social media involve many shared items, such as photos, which may concern more than one user. The challenge is that users’ individual privacy preferences for the same item may conflict, so an approach that simply merges in some way the users’ privacy preferences may provide unsatisfactory results. Previous proposals to deal with the... (more)


New options for ACM authors to manage rights and permissions for their work

ACM introduces a new publishing license agreement, an updated copyright transfer agreement, and a new author-pays option which allows for perpetual open access through the ACM Digital Library. For more information, visit the ACM Author Rights webpage.



The ACM Transactions on Modeling and Computer Simulation (TOMACS) provides a single archival source for the publication of high-quality research and developmental results referring to all phases of the modeling and simulation life cycle. The subjects of emphasis are discrete event simulation, combined discrete and continuous simulation, as well as Monte Carlo methods.

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Forthcoming Articles
Online Adaptive Anomaly Detection for Augmented Network Flows

Traditional network anomaly detection involves developing models that rely on packet inspection. However, increasing network speeds and use of encrypted protocols make per-packet inspection unsuited for today's networks. One method of overcoming this obstacle is aggregating packet header information and performing flow based analysis. Many existing approaches are special purpose limited to detecting specific behavior. Also, data reduction inherent in identifying anomalous flows hinders alert correlation. In this paper, we propose and develop a dynamic anomaly detection approach for augmented network flows. We sketch network state during flow creation enabling general purpose threat detection. We describe an efficient flow augmentation approach based on the count-min sketch that provides per-flow, per-node, and per-network level statistics parallel to flow record generation. We design and develop a support vector machine based adaptive anomaly detection and correlation mechanism, which is capable of aggregating alerts without a-priori alert classification and evolving models online. We further develop a lightweight evolving alert aggregation method and combine it with a confidence forwarding mechanism identifying a small percentage predictions for additional processing. We show effectiveness of our methods on both enterprise and backbone traces. Experimental results demonstrate its ability to maintain high accuracy without the need for offline training.

Group Norms for Multi-Agent Organisations

Normative multi-agent systems offer the ability to integrate social and individual factors to provide increased levels of fidelity with respect to modelling social phenomena, such as cooperation, coordination, group decision making, organization, in both human and artificial agent systems. An important open research issue refers to group norms, i.e. norms that govern groups of agents. Depending on the interpretation, group norms may be intended to affect the group as a whole, each member of a group, or some members of the group. Moreover, upholding group norms may require coordination among the members of the group. We have identified three sets of agents affected by group norms, namely, i) the addressees of the norm, ii) those that will act on it, and iii) those that are responsible for ensuring norm compliance. We present a formalism to represent these, connecting it to a minimalist agent organisation model. We use our formalism to develop a reasoning mechanism which enables agents to identify their position with respect to a group norm, so as to further support agent autonomy and coordination when deciding on possible courses of action.

SASO 2014: Selected, Revised, and Extended Best Papers

A Game-Theoretic Approach for Elastic Distributed Data Stream Processing

Distributed stream processing applications are structured as graphs of interconnected modules able to ingest high-speed data and to transform them in order to generate results of interest. Elasticity is one of the most appealing features of stream processing applications. It makes it possible to scale up/down the allocated computing resources on demand in response to fluctuations of the workload. On clouds this represents a necessary feature to keep the operating cost at affordable levels while accommodating user-defined QoS requirements. In this paper we study this problem from a game-theoretic perspective. The control logic driving elasticity is distributed among local control agents capable of choosing the right amount of resources to use by each module. In a first step, we model the problem as a non-cooperative game in which agents pursue their self-interest. We identify the Nash equilibria and we design a distributed procedure to reach the best equilibrium in the Pareto sense. As a second step, we extend the non-cooperative formulation with a decentralized incentive-based mechanism in order to promote cooperation by moving the agreement point closer to the system optimum. Our control strategies have been evaluated in a simulation environment, by confirming the results of the theoretical analysis.

Transparent and Efficient Parallelization of Swarm Algorithms

This paper presents an approach for the efficient and transparent parallelization of a large class of swarm algorithms, specifically in the cases where the multi-agent paradigm is used to implement the functionalities of bio-inspired entities, e.g., ants, birds etc. Parallelization is achieved by partitioning the space on which agents operate on multiple regions, and assigning each region to a different computing node. Data consistency and conflict issues, which may arise when several agents concurrently access shared data, are handled using a purposely developed notion of logical time. This approach enables a transparent porting onto parallel/distributed architectures, as the developer is only in charge of defining the behavior of the agents, without coping with issues related to parallel programming and performance optimization. The approach has been evaluated in a very popular application domain, the ant-based spatially clustering of items, and results show good performance and scalability.

Topology Control for Diverse Coverage in Underwater Wireless Sensor Networks

Underwater wireless sensor networks (UWSNs) have been developed for a set of underwater applications, including resource exploration, pollution monitoring, tactical surveillance, and so on. The complexity and diversity of underwater environments differentiate them significantly from terrestrial environments. Thus, the coverage requirements (coverage degrees) at different regions are possibly different as well. However, few efforts have so far been made on the topology control of UWSNs for the diverse coverage requirements. This paper proposes two algorithms for the diverse coverage problem: Traversal Algorithm for Diverse Coverage (TADC) adjusts the sensing radii of nodes successively, and at every round only one node alters its radius; Radius Increment Algorithm for Diverse Coverage (RIADC) sets the sensing radii of nodes incrementally, and at every round multiple nodes may increase their sensing radii simultaneously. Mathematical analysis shows both TADC and RIADC try best to achieve diverse coverage, but they have advantages in message complexity or optimal radius, respectively. Hence, these algorithms are suitable for different scenarios. Algorithm performance is also analyzed through simulation experiments that indicate TADC and RIADC realize diverse coverage while optimizing energy consumption as much as possible.

Controlling large-scale self-organized networks with lightweight cost for fast adaptation to changing environments

Self-organization has potential for high scalability, adaptability, flexibility, and robustness, which are vital features for realizing future networks. Convergence of self-organizing control, however, is comparatively slow in some practical applications. It is therefore important to enhance convergence of self-organizing controls. In controlled self-organization, which introduces an external controller into self-organizing systems, the network is controlled to guide systems to a desired state. Although existing controlled self-organization schemes could achieve this feature, convergence speed for reaching an optimal or semi-optimal solution is still a challenging task. We perform potential-based self-organizing routing, and propose an optimal feedback method using a reduced-order model for faster convergence at low cost. Simulation results show that the proposed mechanism improves the convergence speed of potential-field construction (i.e., route construction) by at most 7.9 times with low computation and communication cost.

Distributed Multi-robot Formation and Tracking Control in Cluttered Environment

In this paper, we propose formation control of non-holonomic mobile robots avoiding obstacles in a distributed manner for cluttered environment. The introduction of virtual robot re-structures the formation control problem into a tracking control problem between virtual reference robot and follower robots. A novel obstacle avoidance approach is proposed based upon the scaling of whole (partial) formation corresponding to centralized (distributed) framework. For the distributed environment having limited communication, our approach utilized Proportional-Integral (PI) average consensus estimators, whereby information from each robot diffuses through the communication network. The theoretical contribution is to determine the time constant involved in the diffusion process which can affect overall systems' performance. The asymptotic convergence of follower robots to the position and orientation of the reference robot is ensured using the Lyapunov function. The new technique is tested with complete, limited and no information availability. Several simulation results are provided that demonstrate the formation control and obstacle avoidance for multi-robots using the proposed scheme.

Modeling Robot Swarms Using Integrals of Birth-Death Processes

Controlling Negative Emergent Behaviour by Graph Analysis at Runtime

Self-organised systems typically consist of distributed autonomous entities. An increasing part of such systems is characterised by openness and heterogeneity of participants; for instance, open Desktop Computing Grids provide a framework for unrestrictedly joining in. However, openness and heterogeneity present severe challenges to the overall system's stability and efficiency since uncooperative and even malicious participants are free to join. A promising solution for this problem is to introduce technical trust as basis; but, in turn, the utilisation of trust opens space for Negative Emergent Behaviour. This article introduces a system-wide observation and control loop that influences the self-organised behaviour in order to provide a performant and robust platform for benevolent participants. Thereby, the observation part is responsible for gathering information and deriving an system description. We introduce a graph-based approach to identify groups of suspicious or malicious agents and demonstrate that this clustering process is highly successful for the considered stereotype agent behaviours. In addition, the controller part guides the system behaviour by issuing norms that make use of incentives and sanctions. We further present a concept for closing the control loop and show experimental results that highlight the potential benefit of establishing such a control loop.

A Support System for Clustering Data Streams with a Variable Number of Clusters

Artificial Immunology for Collective Adaptive Systems Design and Implementation

Although a number for frameworks have been proposed for the design of autonomic systems that exhibit self-* properties, they typically fail to capture implicit features of modern autonomic systems, for example the ability to deal with large ensembles of components with no central point of control and operating in a dynamic and unpredictable world. Furthermore, existing frameworks fail to account for the need to incorporate self-expression, i.e. the capability for a system to dynamically adapt its coordination pattern during run-time. In this paper, we address these shortcomings by proposing a new framework that integrates fundamental concepts from autonomic computing with bio-inspired design principles, exploiting the fact that biological systems tend to deal implicitly with such factors. In particular, we draw inspiration from the field of cognitive immune networks to develop a framework that can be used to build an autonomic system. The framework is applied to three different scenarios, illustrating its generality; in each case, quantitative metrics are applied to show the benefit of the proposed method compared to existing approaches.

Division of labor in a group of robots inspired by ants' foraging behavior

Design patterns from biology for distributed computing

A survey of autonomic communications

High variability design for software agents: Extending Tropos

Self-adaptive software: Landscape and research challenges

FORMS: Unifying reference model for formal specification of distributed self-adaptive systems

Spatial Coordination of Pervasive Services through Chemical-Inspired Tuple Spaces

Agile dynamic provisioning of multi-tier Internet applications

Agilla: A mobile agent middleware for self-adaptive wireless sensor networks

The MACODO middleware for context-driven dynamic agent organizations


Publication Years 2006-2016
Publication Count 234
Citation Count 1230
Available for Download 234
Downloads (6 weeks) 1160
Downloads (12 Months) 11448
Downloads (cumulative) 114177
Average downloads per article 488
Average citations per article 5
First Name Last Name Award
Marios D Dikaiakos ACM Senior Member (2008)
Antonio Fernandez Anta ACM Senior Member (2007)
David Garlan ACM Senior Member (2008)
Ho-fung Leung ACM Senior Member (2007)
Nancy Lynch ACM-W Athena Lecturer Award (2012)
Manish Parashar ACM Distinguished Member (2014)
ACM Senior Member (2007)
Binoy Ravindran ACM Distinguished Member (2014)
Luis Rodrigues ACM Senior Member (2011)
Rizos Sakellariou ACM Senior Member (2015)
Yu Wang ACM Senior Member (2011)
Tao Xie ACM Distinguished Member (2015)
ACM Senior Member (2011)
Franco Zambonelli ACM Distinguished Member (2012)
ACM Senior Member (2009)
Franco Zambonelli ACM Distinguished Member (2012)
ACM Senior Member (2009)

First Name Last Name Paper Counts
Franco Zambonelli 7
Athanasios Vasilakos 6
Danny Weyns 4
Marco Mamei 4
Ali Ebnenasir 3
Márk Jelasity 3
Marin Litoiu 3
Sandeep Kulkarni 3
Jeremy Pitt 3
Sam Malek 3
Sébastien Tixeuil 3
Xiaobo Zhou 3
Rajkumar Buyya 3
Marco Dorigo 3
Anish Arora 3
Anwitaman Datta 2
Jacob Beal 2
Stuart Allen 2
Carlo Mastroianni 2
Ram Dantu 2
Naeem Esfahani 2
Josep Arcos 2
Akihiro Nakao 2
Christos Yfoulis 2
Fabrice Saffre 2
Simon Dobson 2
Juan Rodríguez-Aguilar 2
Paolo Romano 2
Fabio Massacci 2
Paddy Nixon 2
Shouhuai Xu 2
Robrecht Haesevoets, 2
Alexander Helleboogh 2
Yu Wang 2
Nancy Lynch 2
Eric Yuan 2
Maite López-Sánchez 2
Mohamed Bakhouya 2
Karl Aberer 2
Gabriella Castelli 2
Michael Wooldridge 2
Li Xu 2
Munindar Singh 2
Yufeng Wang 2
Sudip Misra 2
Klaus Herrmann 2
Vincenzo Loia 2
Gualtiero Colombo 2
Ada Diaconescu 2
Wenlian Lu 2
Anastasios Gounaris 2
Tom Holvoet 2
Matteo Mordacchini 2
Andrea Passarella 2
Roger Whitaker 2
Sarunas Girdzijauskas 2
Erol Gelenbe 2
Antonio Coronato 2
Hartmut Schmeck 2
Christian Bettstetter 2
Borzoo Bonakdarpour 2
Jan Sacha 2
Mark Shtern 2
Jeffrey Tsai 2
Lifeng Sang 2
Shlomi Dolev 2
Christian Poellabauer 1
Liqiang Zhang 1
Hongjiang Zhang 1
Lijuan Cao 1
Roberto Montemanni 1
Zonghua Zhang 1
Junichi Suzuki 1
Alexander Grushin 1
Dominik Fisch 1
Deepak Poola 1
Pushpendu Kar 1
Manuel Roveri 1
Yue Yu 1
Makoto Takizawa 1
Zongxing Xie 1
Stefan Poslad 1
Loris Penserini 1
Nikolaus Correll 1
Luigi Raffo 1
Nikolaj Marchenko 1
Lucio Marcenaro 1
Cécile Germain 1
Krzysztof Rzadca 1
Gunnar Kreitz 1
Sonja Buchegger 1
Neil Harvey 1
Shrideep Pallickara 1
Dawei Feng 1
Alexander Schiendorfer 1
Alexander Artikis 1
Franck Gechter 1
Y Dai 1
Y Xiang 1
Qingjun Xiao 1
Marco Vanneschi 1
Bartosz Biskupski 1
Abhishek Verma 1
Thomas Vogel 1
Xinyuan Wang 1
Prakash Kolan 1
Ludmila Cherkasova 1
Julie McCann 1
Paul Grace 1
Hamid Mukhtar 1
Chaiporn Jaikaeo 1
Vinay Sridhara 1
Gregor Schiele 1
Christian Becker 1
Abdelhamid Bouchachia 1
Mohammad Dashti 1
Javier Cámara 1
David Garlan 1
Jesús García-Galán 1
Stefan Dulman 1
Eric Pauwels 1
Domenico De Guglielmo 1
Marco Locatelli 1
Carlo Sau 1
Zhiquan Sui 1
Fathiyeh Faghih 1
Vlad Tanasescu 1
Lukas Esterle 1
Bernhard Rinner 1
Fatemeh Rahimian 1
Wolfgang Reif 1
Julia Schaumeier 1
Corina Stratan 1
Paolo Costa 1
Yi Pan 1
Jiaqing Luo 1
Marco Conti 1
Jianye Hao 1
Vassilios Tzerpos 1
Pedro Avila 1
Philippe Lalanda 1
Guy Bernard 1
Abhishek Chandra 1
Nathan Eagle 1
Nikil Mehta 1
Yookyung Jo 1
Jeffrey Baumes 1
Johannes Klinglmayr 1
Mariachiara Puviani 1
Giovanna Serugendo 1
Nathan Gnanasambandam 1
David Tacconi 1
Yonghong Wang 1
Stéphane Devismes 1
Vincent Villain 1
S Bapat 1
Mohamed Mansour 1
Tao Xie 1
Arne Brutschy 1
Pedro Ruivo 1
Jingshu Chen 1
Dries Harnie 1
Wolfgang Meuter 1
Francesco Quaglia 1
Rocco Nicola 1
Kurt Vanmechelen 1
João Magalhães 1
Alberto FernáNdez 1
Sajjad Haider 1
Ted Herman 1
Hui Cao 1
Jordi Sabater-Mir 1
Arantza Illarramendi 1
Fan Li 1
Bo Xu 1
Ouri Wolfson 1
Christian Igel 1
Chonho Lee 1
Giuseppe De Pietro 1
Stephen Fairclough 1
Pedro Marrón 1
Ben Paechter 1
Yaochu Jin 1
Martin Jänicke 1
Bernhard Sick 1
Pablo Trinidad 1
Kyle Canavera 1
Simone Brienza 1
Vinaitheerthan Sundaram 1
Zhiyuan Li 1
Valentina Tamma 1
Homa Hosseinmardi 1
Akshay Mysore 1
Danilo Pani 1
Francesca Palumbo 1
Alexander Gogolev 1
Amir Payberah 1
Florian Siefert 1
Michela Meo 1
Martina Maggio 1
Francesco Mondada 1
Elio Tuci 1
Brian Dougherty 1
Douglas Schmidt 1
E Jensen 1
Francesco De Pellegrini 1
Indranil Gupta 1
Matthew Francisco 1
Naveen Sharma 1
Malik Magdon-Ismail 1
Liang Zhang 1
Jose Fernandez-Marquez 1
Matteo Casadei 1
Sajal Das 1
Anish Arora 1
Wouter Joosen 1
Fabienne Boyer 1
Lehung Vu 1
Jeffrey Johnson 1
Fabrice Fessant 1
Monica Dixit 1
Mario Mense 1
Christian Schindelhauer 1
Sergey Legtchenko 1
Sébastien Monnet 1
Jianye Hao 1
João Paiva 1
Yanfei Guo 1
Alberto Rosi 1
Dídac Busquets 1
Sebastiano Peluso 1
Michael Rovatsos 1
Adel Toosi 1
Franck Petit 1
James Aspnes 1
Michael Fischer 1
Landon Kraemer 1
W Chan 1
Colette Johnen 1
Pasquale Gurzì 1
Ann Nowé 1
Irfan Habib 1
Richard McClatchey 1
Niloy Ganguly 1
Kirstie Bellman 1
Antonio Brogi 1
Roy Campbell 1
Andrea Omicini 1
Terry Payne 1
Angelo Susi 1
Alessandro Papadopoulos 1
Guillaume Pierre 1
Michael Bonani 1
Cristiana Amza 1
Bin Xiao 1
Cornel Barna 1
Juan Burguillo 1
Zhenxin Zhan 1
Carlos Flores 1
Prashant Shenoy 1
Binoy Ravindran 1
Imrich Chlamtac 1
Laurencetianruo Yang 1
Santi Phithakkitnukoon 1
Giacomo Cabri 1
Andres Quiroz 1
Abdolhossein Sarrafzadeh 1
Habib Ammari 1
Toshimitsu Masuzawa 1
François Bonnet 1
Kurt Rothermel 1
Salvatore Garruzzo 1
Philippe Leroux 1
Gokul Soundararajan 1
Minyi Guo 1
Jim Dowling 1
Boonthau Loo 1
Zhuoyao Zhang 1
Lei Liu 1
Xinwen Zhang 1
Pichung Wang 1
Johann Bourcier 1
Timothy Wood 1
Maurizio D'Arienzo 1
Michael DeLorimier 1
Hung Chen 1
Stephan Bosch 1
Hans Scholten 1
Mirko Viroli 1
Peter Lee 1
Masafumi Yamashita 1
W Leal 1
Olivier Michel 1
Qiaoliang Xiang 1
Noël De Palma 1
Olivier Gruber 1
Michel RAYNAL 1
Matteo Gozzi 1
Roberto Posenato 1
António Casimiro 1
Millie Pant 1
Fei Chen 1
Jeehyun Hwang 1
Luís Silva 1
Dazhao Cheng 1
Ouiddad Labbani-Igbida 1
Sukumar Ghosh 1
Bikramjit Banerjee 1
Yichuan Jiang 1
Steven Hand 1
Huai Wang 1
Chao Li 1
Rui Wang 1
Depei Qian 1
Saleha Raza 1
Kris Steenhaut 1
Ehab Elmallah 1
Ashiq Anjum 1
Daniel Villatoro 1
Jose Royo 1
Sebastian Rodriguez 1
Ke Li 1
Guanhong Pei 1
Naixue Xiong 1
Ekram Hossain 1
Nachiket Kapre 1
André DeHon 1
Manish Parashar 1
Paul Havinga 1
William Wallace 1
Luidnel Maignan 1
Michael De Rosa 1
Xavier Défago 1
Karsten Schwan 1
Ladan Tahvildari 1
George Alyfantis 1
Tatsuya Suda 1
Yang Xiao 1
Pejman Iravani 1
Giandomenico Spezzano 1
Daniel Schneider 1
Mario Trapp 1
Carlo Ghezzi 1
Jason Hallstrom 1
Andrea Bondavalli 1
Marina Kopeetsky 1
Alex Liu 1
Gilles Muller 1
Dario Pompili 1
Sam Macbeth 1
Siqi Chen 1
Michele Loreti 1
Rosario Pugliese 1
Hong Jiang 1
Elena Val 1
Matteo Vasirani 1
Tao Li 1
Manish Parashar 1
John Baras 1
Elizabeth Papadopoulou 1
Hani Hagras 1
Matteo Gaeta 1
Alfredo Goñi 1
Thomas Labella 1
Geoffrey Canright 1
Özalp Babaoğlu 1
Sameh Abdelaziz 1
Yanping Zhang 1
Sylvain Sicard 1
Rizos Sakellariou 1
Yun Yang 1
Hao Jiang 1
Kai Zhang 1
Dongqing Shi 1
Paolo Lollini 1
Paulo Veríssimo 1
Davide Pierattoni 1
Ajith Abraham 1
Sébastien Roy 1
Luís Rodrigues 1
Eunkyung Lee 1
Yunpeng Li 1
Changjun Jiang 1
Reuven Yagel 1
Dana Angluin 1
Yifeng Zhou 1
Miguel Rebollo 1
Themistoklis Charalambous 1
Punyaslok Purkayastha 1
Sandip Sen 1
Sarah Gallacher 1
Eduardo Mena 1
Gianni Caro 1
Alberto Montresor 1
Sayan Mitra 1
Teresa Dahlberg 1
Hong Shen 1
Rolf Würtz 1
Emre Çakar 1
Axel Wegener 1
Horst Hellbrück 1
Vinny Cahill 1
Răzvan Popescu 1
Anand Ranganathan 1
Nadia Nedjah 1
Edgar Kalkowski 1
Nicholas Jennings 1
Kevin Kwiat 1
Tomoya Enokido 1
LiWu Chang 1
Peter McBurney 1
Anna Perini 1
Tina Nolte 1
Christian Müller-Schloer 1
James Reggia 1
Ivana Dusparic 1
Yan Meng 1
Emerson Loureiro 1
Dominik Fisch 1
Gabriel Moreno 1
Bradley Schmerl 1
Parisa Zoghi 1
Giuseppe Anastasi 1
Saurabh Bagchi 1
Yoshio Nakajima 1
Matthew Malensek 1
Peter Lewis 1
Jan Steghöfer 1
Jacopo Panerati 1
Henry Hoffmann 1
Roderich Groß 1
Spyros Denazis 1
Nikita Schmidt 1
Emanuele Vespa 1
Krishna Venkatasubramanian 1
Tridib Mukherjee 1
Sandeep Gupta 1
Zhao Zhang 1
Djamel Belaïd 1
Jaafar Gaber 1
Chienchung Shen 1
Hristo Koshutanski 1
Zhenwei Yu 1
Regina Frei 1
Thomas Weigert 1
Mihai Marin-Perianu 1
Seth Goldstein 1
Martin Biely 1
Alain Cournier 1
Mikhail Nesterenko 1
Samia Souissi 1
Mazeiar Salehie 1
Ricardo Araújo 1
Stathes Hadjiefthymiades 1
Benoit Claudel 1
Jinjun Chen 1
Agostino Forestiero 1
Stephan Schuhmann 1
Giuseppe Pozzi 1
Stevens Blond 1
Domenico Rosaci 1
Franco Blanchini 1
Daniele Caneva 1
Musrrat Ali 1
Mauro Birattari 1
Wamberto Vasconcelos 1
Diego Didona 1
Jose Fernandez-Marquez 1
Emre Ertin 1
Evangelia Kalyvianaki 1
Kajari Dastidar 1
Mohamed Gouda 1
Omer Rana 1
Saïd Hoceïni 1
Luca Gambardella 1
Frederick Ducatelle 1
Tore Urnes 1
Michael Lemmon 1
Xinghua Shi 1
Markos Anastasopoulos 1
Panayotis Cottis 1
Sándor Fekete 1
Christiane Schmidt 1
Athanasios Staikopoulos 1
Marcus Handte 1
Nicola Bicocchi 1
Ramachandra Kota 1
Norman Paton 1
Hamoun Ghanbari 1
Douglas Herbert 1
Thiago Quirino 1
Shuching Chen 1
Giuseppe Vizzari 1
Paolo Petta 1
Arjun Chandra 1
Jim Tørresen 1
Marco Santambrogio 1
Alberto Leva 1
François Charpillet 1
Gabriele Mencagli 1
Juan Rodríguez-Aguilar 1
Holger Giese 1
Maria Salamó 1
Songqing Chen 1
Gordon Blair 1
Ibrahim Al-Oqily 1
Ahmed Karmouch 1
Giuseppe De Pietro 1
Shyrkuen Chen 1
Bhuvan Urgaonkar 1
Abderrafiâa Koukam 1
Iacopo Carreras 1
Rob Claxton 1
Steven Ko 1
Daniele Miorandi 1
Chorping Low 1
Giovanna Di Marzo Serugendo 1
Frédéric Gruau 1
Jason Campbell 1
Padmanabhan Pillai 1
Taekyoung Kwon 1
Pihui Wei 1
Luís Lamb 1
Ulrik Schultz 1
Keita Fujii 1
Gopidi Rajesh 1
Xiannuan Liang 1
Sara Bouchenak 1
Vilmos Bilicki 1
Guido Salvaneschi 1
Matteo Pradella 1
Erwan Merrer 1
Carlo Combi 1
Emmanuel Collins 1
Pier Montessoro 1
Pierre Sens 1
Hariharasudhan Viswanathan 1
Javier Morales 1
Elisa Boix 1
Mirko Viroli 1
Farzad Khodadadi 1
Johanne Cohen 1
Anurag Dasgupta 1
Jose Such 1
Nick Taylor 1
M Williams 1
Nikolay Grozev 1
Abdelhamid MELLOUK 1
Sherali Zeadally 1
Hakan Duman 1
Victor Callaghan 1
Giovanni Acampora 1
Jean Deneubourg 1
Michael Ingleby 1
Robert Ward 1
Seth Gilbert 1
Chenyang Lu 1
Channah Naiman 1
Moez Mnif 1
Urban Richter 1
Peng Liu 1
Verena Matjuntke 1
Nicholas Gibbins 1
Liliana Pasquale 1
Kotagiri Ramamohanarao 1
Yunghsiang Lu 1
Nianen Chen 1
Kenichi Watanabe 1
Shamimabi Paurobally 1
Nicholas Farrow 1
Richard Han 1
Marco Conti 1
Martin Chorley 1
Sylvain Frey 1
Xin Yao 1
Gerrit Anders 1
Aly Farahat 1
Jeff Napper 1
Vito Trianni 1
Vincent Chevrier 1
Jordi Campos 1
Luciano Baresi 1
Qiang Duan 1
Pawan Goyal 1
Jules White 1
Mark Goldberg 1
Raluca Marin-Perianu 1
Gang Chen 1
Sara Montagna 1
Josef Widder 1
Praveen Danturi 1
Lazaros Merakos 1
Zhendong Zhao 1
Marios Dikaiakos 1
Palden Lama 1
Yazan Boshmaf 1
Hofung Leung 1
Zhong Ming 1
Manuele Brambilla 1
Gerhard Weiss 1
Theo D’hondt 1
Francesco Tiezzi 1
Yoann Dieudonné 1
T Tse 1
Peter Vrancx 1
Abdel Rodríguez 1
Andreas Deutsch 1
Masoodmehmood Khan 1
Chienliang Fok 1
Gruia Roman 1
Stefan Fischer 1
Jesper Andersson 1
Siobhán Clarke 1
Nikola Serbedzija 1
Hongliang Guo 1
Aistis Simaitis 1
Antonio Ruiz-Cortés 1
Arijit Roy 1
Shangping Ren 1
Meiling Shyu 1
John Mylopoulos 1
Didac Iglesia 1
Isabelle Demeure 1
David Menga 1
Seif Haridi 1
Raffaele Giordanelli 1
Anant Agarwal 1
Dominique Gaïti 1
Antonio Fernández 1
Michael Smit 1
Jiannong Cao 1
Hofung Leung 1
Hausi Müller 1
Ana Peleteiro 1
Chungwei Hang 1
Georgia Sakellari 1
Chris Thompson 1
Vincent Hilaire 1

Affiliation Paper Counts
Osaka University 1
National University of Defense Technology China 1
Universite Paris-Sud XI 1
Missouri University of Science and Technology 1
Universite Paris 12 Val de Marne 1
Samsung Information Systems America 1
University of Genoa 1
Fraunhofer Institute for Computer Architecture and Software Technology 1
University of Freiburg 1
City University London 1
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ACM Transactions on Autonomous and Adaptive Systems (TAAS)

Volume 11 Issue 1, April 2016
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