October 29-31, 2018. Rome, Italy
Consiglio Nazionale delle Ricerche
Piazza Aldo Moro 7
00185, Rome, Italy.
Via San Martino della Battaglia 44
00185, Rome, Italy.
For accommodation we suggest to book directly at a hotel of your choice. There are many hotels in the area of the conference, which can satisfy any price requirements. There are also several listings on airbnb.com.
The conference is located close to the San Lorenzo neighbourhood, which offers a very large selection of restaurants, pizzerias (eat in and take away) and local street food. You will for sure find something to satisfy your appetite! Look at the map and choose your favourite place. Beware that not all restaurants are open for lunch, but the offer is still very large.
The ANTS2018 registration fee is 450 EUR.
The conference fee includes:
Coffee breaks and a conference dinner will be offered by the organizing committee.
Bio: David Sumpter has worked on
collective behaviour of everything from slime moulds,
through ants and honey bees, fish and birds, as well as
humans. His work combines mathematical modelling of
these ‘swarms’ with experimental work on the detailed
interactions of individuals. He has written over 100
articles in leading journals and wrote the book
'Collective Animal Behaviour' summarising the field.
His most recent book 'Soccermatics' takes a new look at the world's most popular game, showing how mathematics works inside the game. The book is in seven languages, including Italian! David speaks regularly at book and science festivals, has given Google and TEDx talks, and his work often appears in the media, including BBC, NPR, and ABC. He has written for the Economist, FourFourTwo magazine, Science Daily, Scientific American, the Guardian, The Daily Telegraph and many other news media. David has published around 100 articles in leading scientific journals, including Science, Proceedings of the National Academy of Sciences, and the Royal Society journals. He has co-authored work with scientists from every continent of the world, apart from Antarctica. You can follow him on Twitter @Soccermatics.
David lives in Sweden with his wife and two children. He is professor of Applied Mathematics in Uppsala. In his spare time, he trains the his son's football team Upsala IF 2005.
Bio: Alcherio Martinoli has a M.Sc. in Electrical Engineering from the Swiss Federal Institute of Technology in Zurich (ETHZ), and a Ph.D. in Computer Science from the Swiss Federal Institute of Technology in Lausanne (EPFL). He is currently an Associate Professor at EPFL, leading the Distributed Intelligent Systems and Algorithms Laboratory and serving as director of the Doctoral Program in Robotics, Control, and Intelligent Systems. Before joining EPFL he carried out research activities at the Institute of Biomedical Engineering of the ETHZ, at the Institute of Industrial Automation of the Spanish Research Council in Madrid, Spain, and at the California Institute of Technology, Pasadena, U.S.A. His research interests focus on methods to design, control, model, and optimize distributed cyber-physical systems, including multi-robot systems, sensor and actuator networks, and intelligent vehicles. Among other contributions, Alcherio Martinoli has been a pioneer in swarm intelligence by proposing innovative model-based and data-driven methods (e.g., multi-level modeling, noise-resistant distributed PSO) for swarm robotic systems.
Bio: Holger H. Hoos is Professor
of Machine Learning at Universiteit Leiden (the
Netherlands) and Professor of Computer Science at the
University of British Columbia (Canada), where he also
holds an appointment as Faculty Associate at the Peter
Wall Institute for Advanced Studies. He is a Fellow of
the Association for the Advancement of Artificial
Intelligence (AAAI) and past president of the Canadian
Association for Artificial Intelligence / Association
pour l'intelligence artificielle au Canada (CAIAC).
Holger's research interests span artificial intelligence, empirical algorithmics, bioinformatics and computer music. He is known for his work on machine learning and optimisation methods for the automated design of high-performance algorithms and for his work on stochastic local search. Based on a broad view of machine learning, he has developed - and vigorously pursues - the paradigm of programming by optimisation (PbO); he is also one of the originators of the concept of automated machine learning (AutoML). Holger has a penchant for work at the boundaries between computing science and other disciplines, and much of his work is inspired by real-world applications.
Bio: Full Professor of Physics of Complex Systems at Sapienza University of Rome and Faculty of the Complexity Science Hub in Vienna. He is presently Director of the SONY Computer Science Lab in Paris where he heads the team on "Innovation, Creativity and Artificial Intelligence". His scientific activity is focused on the statistical physics of complex systems and its interdisciplinary applications. He coordinated several projects at the EU level and he recently coordinated the KREYON project (www.kreyon.net) devoted to unfolding the dynamics of innovation and creativity. Vittorio has published over 180 papers in internationally refereed journals and conference proceedings and chaired several workshops and conferences.
Bio: Andrea Cavagna received his
PhD in theoretical physics and statistical field
theory at Sapienza University in 1998, working on
spin-glasses under the supervision of Giorgio
Parisi. After spending four years as a postdoc in the
UK (Oxford and Manchester), he moved back to Rome,
where he joined the Institute for Complex Systems of
the National Research Council. After studying for
about a decade the statistical mechanics of disordered
systems, his research interests shifted in the last
ten years to problems in physical biology. Together with
Irene Giardina, he leads a lab for the study of Collective
Behaviour in Biological Systems (COBBS), whose aim is
to obtain 3D experimental data in the field and to
develop new theory directly from the data. The COBBS
lab has been the first to combine the production of
large-scale data (groups of up to 3000 individuals)
with a theoretical approach inspired by statistical
physics and field theory. The principal systems of
interest of COBBS have been bird flocks and insect
swarms, although new projects on the collective
properties of stem cells colonies and on the swarming
dynamics of malaria mosquitoes are being initiated. He
is the author of more than 70 articles, which received
about 6000 citations.
Irene Giardina received a Ph.D. degree in theoretical physics from the University of Rome La Sapienza in 1998. From 1999 to 2001 she worked as post-doctoral fellow at the University of Oxford and at the Laboratoire de Physique Theorique, CEA Saclay, where she studied a variety of problems in disordered and complex systems. In 2001 she was appointed research scientist at the Institute for Complex Systems, of the National Research Council in Rome. Together with Andrea Cavagna, she set up a new lab dedicated to apply methods from statistical physics to study collective behavior in animal groups and biological systems. From 2013 she is Associate Professor at the Department of Physics, Sapienza University of Rome.
Bio: Roberto Di Leonardo is
Professor of Experimental Condensed Matter Physics at
the Physics Department of Sapienza University in
Rome. He is interested in the origin, the consequences
and the applications of motion at the micron scale,
from Brownian motion to cell motility. To study that,
his lab builds digital microscopes that integrate
optical and computer hardware and where light can be
used for imaging, manipulation and fabrication of
microsystems in 3D.
Di Leonardo received a PhD in Physics from the University of L’Aquila working on supercooled liquids and glass transition. He then moved to Rome to join the Center for Soft Matter Research of the National Institute for the Physics of Matter. In 2005 he moved to the University of Glasgow where he became interested in the use of light as a tool for manipulating matter on a micrometric scale. Beginning in 2009, he undertook the study of flagellar propulsion, focusing in particular on the possibility of exploiting self-propelling bacteria as a source of work in miniaturized devices. He is the author of more than 90 research papers on topics ranging from experimental optics to theoretical statistical mechanics. He is Fellow of the School for Advanced Studies Sapienza (SASS) and an ERC Starting grant recipient (2012).
The submission page is here: https://easychair.org/conferences/?conf=ants2018.
Submitted papers must be between 7 and 11 pages long, without considering the list of references, which can be of any length necessary to properly position the research done with respect to the state of the art. Papers should be written in English, typeset in LaTeX, and formatted in the LNCS Springer style. Please download the LNCS package (zip, 219 Kb) for LaTeX and the instruction file (pdf, 160 Kb) directly from the Springer web site. Authors are expected to use the default font and font size of the LNCS LaTeX style. Papers that do not respect these guidelines will be rejected.
Authors are expected to submit their manuscript in PDF format.
All submitted papers will be peer reviewed on the basis of technical quality, relevance, significance, and clarity. If a submission is not accepted as a full length paper, it may still be accepted either as a short paper or as an extended abstract. In such cases the authors will be asked to reduce the length of the submitted paper accordingly. The authors of all accepted papers will be asked to improve their papers on the basis of reviewers' comments.