ANTS 2018

Call for Papers

Conference Scope

Swarm intelligence is the discipline that deals with the study of self-organizing processes both in nature and in artificial systems. Researchers in ethology and animal behavior have proposed a number of models to explain interesting aspects of collective behaviors such as movement coordination, shape-formation or decision making. Recently, algorithms and methods inspired by these models have been proposed to solve difficult problems in many domains. ANTS 2018 will give researchers in swarm intelligence the opportunity to meet, to present their latest research, and to discuss current developments and applications.

Relevant Research Areas

ANTS 2018 solicits contributions dealing with any aspect of swarm intelligence. Typical, but not exclusive, topics of interest are:
  • Behavioral models of social insects or other animal societies that can stimulate new algorithmic approaches.
  • Empirical and theoretical research in swarm intelligence.
  • Application of swarm intelligence methods, such as ant colony optimization or particle swarm optimization, to real-world problems.
  • Theoretical and experimental research in swarm robotics systems.

Important Dates

  • Submission deadline: April 15, 2018
  • Extended submission deadline: April 22, 2018
  • Notification of acceptance: June 15, 2018
  • Camera ready copy: June 29, 2018
  • Conference: October 29-31, 2018


Proceedings published in the Springer LNCS Series

Call for papers in PDF format

Location

All roads lead to Rome!

For the first time, the ANTS conference series will be take place in Rome, Italy. The conference will be hosted by the Italian National Research Council (CNR) in a historical building close to the Sapienza University.

Address

Aula Marconi
Consiglio Nazionale delle Ricerche
Piazza Aldo Moro 7
00185, Rome, Italy.

Contacts

ANTS 2018
ISTC-CNR
Via San Martino della Battaglia 44
00185, Rome, Italy.
Tel +39-06-44595277
Fax +39-06-44595243
email: ants.conf@gmail.com

Sleep tight, be ready for the conference!

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.

Enjoy your lunch breaks!

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.

Conference Information

Registration Fee

The ANTS2018 registration fee is 450 EUR.

The conference fee includes:

  • Publication of one paper in the proceedings
  • Admission to all technical sessions
  • One copy of the conference proceedings

Coffee breaks and a conference dinner will be offered by the organizing committee.

Registration Procedure

  • Download and fill the registration form. Once filled, send the form by email to ants2018@regint.it with copy to ants.conf@gmail.com.
  • Payments are via bank transfer or credit card only. All details can be found in the registration form. In case of bank payment, join proof of the payment to the registration form.
  • Registration to ANTS 2018 is secured only at the reception of the payment.
  • Once the registration is secured, no cancellation/refund is possible

David Sumpter

From Slime Moulds to Soccermatics: how flow and feedback create dynamic problem solving
Abstract: I will start the talk by discussing a model of current-reinforced random walks. This is a central tool in understanding network formation and problem solving by slime moulds and ants. My main innovation will be to stress the importance of reinforcing based on current, rather than on density, as is done in many ACO approaches. We show how this solves linear programming problems in an entirely decentralised way. I finish with a more light-hearted discussion about how my work on collective animal behaviour inspired the study of football from a mathematical perspective.

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.

David
              Sumpter's Picture

Alcherio Martinoli

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.

Alcherio Matinoli's Picture

Holger H. Hoos

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.

Holger Hoos' Picture

Special keynote session - The Physics of Collectives: The Rome School

Vittorio Loreto

Exploring the adjacent possible: play, anticipation, surprise
Abstract: Novelties occur frequently in our individual daily lives. We meet new people, learn and use new words, listen to new songs, watch a new movie, adopt a new technology. Such new experiences sometimes happen by chance. Often they are triggered by earlier new experiences, thus providing an effective correlation between their appearances. Historically the notion of the new has always offered challenges to humankind. What is new often defies the natural tendency of humans to predict and control future events. Still, most of the decisions we take are based on our expectations about the future. From this perspective a deep understanding of the underlying mechanisms through which novelties emerge and humans anticipate their occurrence is key to progress in all sectors of human activities. The problem of anticipation, i.e., how to cope with the unexpected, is one of the open problems for Artificial Intelligent machines too. The common intuition that one new thing often leads to another is captured, mathematically, by the notion of "adjacent possible", i.e., the set of all those things (ideas, linguistic structures, concepts, molecules, genomes, technological artefacts, etc.) that are one step away from what actually exists, and hence can arise from incremental modifications and recombination of existing material. In this talk I'll present a mathematical framework, describing the expansion of the adjacent possible, whose predictions are borne out in several data sets drawn from social and technological systems. Finally I'll discuss how games could represent a extraordinary framework to experimentally investigate basic mechanisms at play whenever we learn, create and innovate. A better understanding of the space of possibilities and how we explore is key to deploy human imagination, face the societal challenges of our era and conceive a better future. What is the structure of the space of possibilities? How do humans explore it? How do machines explore it? These are some of the questions I'll try to address. And those questions are relevant in many areas, for instance, how do we take decisions, how do we anticipate the impact of specific choices, how do we learn and create, how do we conceive new (sustainable) solutions.

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.

Andrea Cavagna's Picture

Andrea Cavagna & Irene Giardina

Collective behavior in animal groups: a physics-based perspective
Abstract: Many animal aggregations display collective patterns on the large scale, ultimately due to the interactions between the individuals in the group. Recent findings on flocks of birds and swarms of insects show that these groups exhibit strong mutual correlations and quick mechanisms of information propagation, signatures of the efficient collective response to external perturbations. Besides, they obey static and dynamic scaling laws suggesting that we can use a statistical physics approach to describe the large scale, and define novel 'classes' of behavior. We will review our current understanding of collective animal behavior and discuss how a physics based perspective, from experiments to modelling, can help to define a unified description for these systems.

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.

Andrea Cavagna's Picture Andrea Cavagna's Picture

Roberto Di Leonardo

Light driven bacteria: a million microswimmers with remote control
Abstract: Proteorhodopsin is a light driven proton pump which uses photon energy to pump protons out of the inner membrane of bacteria. The resulting electrochemical gradient can drive the rotation of the flagellar motor so that, in a way, proteorhodopsin puts a "solar panel" on every cell, allowing to remotely control swimming speeds with light. These light powered bacteria can be employed as controllable biological propellers inside bio-hybrid micromachines. The synthetic components are 3D printed microstructures having a rotating unit that can capture individual cells into an array of microchambers designed so that each cell contributes maximally to the applied torque. Using a spatial light modulator, we can address individual motors with tuneable light intensities, control their individual speeds and also synchronize a set of micromotors to rotate in unison. When freely swimming in a dense suspension, these photokinetic bacteria provide a light controllable active fluid, whose density can be accurately shaped in space and time through structured light patterns. We show that a homogeneous sea of these swimming bacteria can be made to morph quickly between complex shapes and, when employing a feedback control strategy, can be used to display accurate and detailed reproductions of grayscale density images.

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).

Andrea Cavagna's Picture

ANTS 2018, continuing a tradition started with ANTS 2002, assigns a "Best paper award".

In addition to a certificate signed by the conference organizers, the award consists of a sculpture of an ant expressly created for the ANTS conference by the Italian sculptor Matteo Pugliese.

ANTS 2018 award

Organizers

Organizing Committee

General chair
Marco Dorigo, Université Libre de Bruxelles, Belgium
Vice-general chair
Mauro Birattari, Université Libre de Bruxelles, Belgium
Local organisation and publicity chair
Vito Trianni, Institute of Cognitive Sciences and Technologies (ISTC), Italian National Research Council (CNR), Italy
Technical program chairs
Christian Blum, Artificial Intelligence Research Institute (IIIA), Spanish National Research Council (CSIC), Spain
Anders L. Christensen, Instituto Universitário de Lisboa, Portugal
Publication chair
Andreagiovanni Reina, The University of Sheffield, UK
Paper submission chair
Volker Strobel, Université Libre de Bruxelles, Belgium

Program Committee

  • Michael Allwright, Université Libre de Bruxelles
  • Prasanna Balaprakash, Argonne National Laboratory
  • Jacob Beal, BBN Technologies
  • Giovanni Beltrame, Polytechnique Montréal
  • Tim Blackwell, Goldsmiths, University of London
  • Mohammad Reza Bonyadi, The University of Adelaide
  • Darko Bozhinoski, Université Libre de Bruxelles
  • Alexandre Campo, Université Libre de Bruxelles
  • Marco Chiarandini, University of Southern Denmark
  • Carlos Coello Coello, CINVESTAV-IPN
  • Oscar Cordon, University of Granada
  • Nikolaus Correll, University of Colorado Boulder
  • Guido De Croon, Delft University of Technology
  • Gianni Di Caro, Carnegie Mellon University
  • Luca Maria Gambardella, Istituto Dalle Molle di Studi sull'Intelligenza Artificiale
  • Melvin Gauci, Harvard University
  • Luca Di Gaspero, University of Udine
  • Haibin Duan, Beihang University
  • Andries Engelbrecht, University of Pretoria
  • Eliseo Ferrante, Katholieke Universiteit Leuven
  • Gianpiero Francesca, Toyota Motor Europe
  • José García-Nieto, University of Málaga
  • Simon Garnier, New Jersey Institute of Technology
  • Jorge Gomes, University of Lisbon
  • Morten Goodwin, University of Agder
  • Roderich Gross, The University of Sheffield
  • Frédéric Guinand, University of Le Havre
  • Heiko Hamann, University of Lübeck
  • Julia Handl, The University of Manchester
  • J. Michael Herrmann, The University of Edinburgh
  • Yara Khaluf, Ghent University
  • Xiaodong Li, RMIT University
  • Simone Ludwig, North Dakota State University
  • Manuel López-Ibáñez, The University of Manchester
  • Vittorio Maniezzo, University of Bologna
  • Alcherio Martinoli, Ecole Polytechnique Fédérale de Lausanne
  • Massimo Mastrangeli, Delft University of Technology
  • Nithin Mathews, Netcetera
  • Clerc Maurice, Independent Consultant on Optimisation
  • Michalis Mavrovouniotis, Nottingham Trent University
  • Yi Mei, Victoria University of Wellington
  • Ronaldo Menezes, Florida Institute of Technology
  • Bernd Meyer, Monash University
  • Martin Middendorf, University of Leipzig
  • Alan Millard, University of York
  • Nicolas Monmarché, University of Tours
  • Roberto Montemanni, Istituto Dalle Molle di Studi sull'Intelligenza Artificiale
  • Marco Montes de Oca, Northeastern University
  • Sanaz Mostaghim, Otto von Guericke University of Magdeburg
  • Konstantinos Parsopoulos, University of Ioannina
  • Paola Pellegrini, IFSTTAR
  • Carlo Pinciroli, Worcester Polytechnic Institute
  • Lenka Pitonakova, University of Bristol
  • Günther Raidl, Vienna University of Technology
  • Katya Rodriguez-Vazquez, National Autonomous University of Mexico
  • Mike Rubenstein, Northwestern University
  • Erol Sahin, Middle East Technical University
  • Roberto Santana, University of the Basque Country
  • Thomas Schmickl, University of Graz
  • Kevin Seppi, Brigham Young University
  • Christine Solnon, LIRIS CNRS
  • Thomas Stützle, Université Libre de Bruxelles
  • Dirk Sudholt, The University of Sheffield
  • Yasumasa Tamura, Tokyo Institute of Technology
  • Danesh Tarapore, University of Southampton
  • Guy Theraulaz, Paul Sabatier University
  • Dhananjay Thiruvady, Monash University
  • Jon Timmis, University of York
  • Elio Tuci, Middlesex University
  • Ali Emre Turgut, Katholieke Universiteit Leuven
  • Gabriele Valentini, Arizona State University
  • Michael Vrahatis, University of Patras
  • Justin Werfel, Harvard University
  • Alan Winfield, University of the West of England, Bristol
  • Masahito Yamamoto, Hokkaido University

Instructions

Initial submission instructions

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.

Authors of the accepted papers are expected to provide the camera-ready copy in PDF format, and all source files—i.e. LaTex file(s), figures and references—needed for obtaining the final version of their paper. Papers that do not comply with all requirements might fail to be included in the conference proceedings.

By submitting a camera-ready paper, the author(s) agree that at least one author will attend and present the paper at the conference.

The submission page is here: https://easychair.org/conferences/?conf=ants2018.

Number of pages and deadline

Full-length papers are allotted 11 pages + references in the proceedings; short papers, 7 pages + references; and extended abstracts, 2 pages.

The camera-ready version of your paper must be submitted by June 29.

Preparing the camera-ready copy

Take into account the comments contained in the reviews of your paper when preparing the camera-ready copy of your contribution.

Only contributions typeset in LaTeX will be included in the ANTS 2018 proceedings. Download the package llncs2e.zip from Springer and format your contribution using the LaTeX class llncs included therein. References must be formatted using the BibTeX style splncs04 which is included in llncs2e.zip, too. References must follow the Number-Only system. Please refer to the class documentation included in the package.

Do not alter in any way the parameters defined by the llncs class. In particular, do not change font family, font size, line spacing, and margin width. Original Springer's class/style files should not be manipulated. Do not include the llncs class among the file you submit. Your paper will be recompiled by Springer using the original llncs class: If you make any modification to this file, the paper will not compile correctly. In this case, your paper will not be included in the proceedings.

Please, activate in your latex document the author-running option by starting your latex file with command \documentclass[runningheads]{llncs}. Please, check that the first author name is specified (example: \authorrunning{M. Dorigo et al.} ) and how the author and title appear on page headers; if the header title is too long use the command \titlerunning{Abbreviated paper title} to specify a shorter header title.

Title and headings should be capitalized (i.e., nouns, verbs, and all other words except articles, prepositions, and conjunctions should be set with an initial capital) and should, with the exception of the title, be aligned to the left. See the Springer's author guidelines for more details on numbering and formatting.

Concerning the name of authors given in the latex field \author{}, please provide the full first name and not just the initial. Do not include the academic title, e.g.: Prof. or Dr.

Springer's proceedings now support the ORCID (Open Researcher and Contributor ID) identifier, which is an ID that uniquely attaches your identity to your research work, such as your articles and datasets. We recommend the authors to specify the ORCID for all authors through the latex field \orcidID{}. Example:

\author{%
First Author\inst{1}\orcidID{0000-1111-2222-3333} \and
Second Author\inst{1,2}\orcidID{1111-2222-3333-4444} \and
Third Author\inst{2}\orcidID{2222--3333-4444-5555}}

Provide the following information for all authors at the beginning of the contribution: department, faculty, university, company (as applicable), city, country and email address. Do not include street address and ZIP code: This is not supposed to be the full postal address.

To allow you to include this information the llncs class provides the command \institute. To add email addresses, use the command \email within the \institute command. Example:

\institute{%
SomeLab, University of Somecity, Somecity, Somecountry \email{mymail@somelab.somecity-university.edu}
\and
Department, University of SomeOtherCity, SomeOtherCity,SomeOtherCountry \email{otheremail@somelab.uni.edu}}

After the \institute command please include an \index entry for each of the authors. Example:

\index{Last_name_of_author1, First_name_of_author1}
\index{Last_name_of_author2, First_name_of_author2}
\index{Last_name_of_author3, First_name_of_author3}

For further details, please refer to the documentation of the llncs class.

Acknowledgements, if any, should be given in a final subsubsection at the end of the paper, just before the list of references. Use the following command:

\bigskip
\subsubsection*{Acknowledgments. } 
%

Do not provide acknowledgments in a footnote to the title or to the author's name.

Do not provide any keywords, they will not be included in the proceedings.

Please, format the references with complete information and using the correct Springer style (BibTeX users should specify bibliography style 'splncs04'). Papers submitted with incomplete or unformatted references might fail to be included in the conference proceedings.

Notice that the proceedings will be printed in black and white. Make sure that the figures do not rely on colors to pass a message and they are understandable also when printed in black and white.

A contribution accepted as an extended abstract must not contain an abstract: after the \maketitle command, the body of the paper should start immediately and should not contain any sections or subsections.

By June 29, you must upload the final version of your contribution to the on-line conference system: https://easychair.org/conferences/?conf=ants2018.

In particular, you should upload a compressed archive, either in the zip or tgz format, containing:

  • The camera-ready copy in PDF format (.pdf)
  • The final LaTeX file (.tex)
  • All figures (if you have any)
  • The BibTeX file (.bib)

IMPORTANT

The camera-ready copy of your contribution (including references) must not exceed the allotted number of pages. Please notice that contributions that do not comply with all above requirements cannot be included in the ANTS 2018 proceedings.

Copyright Form

You must fill in and sign the Springer's copyright form. The form should be emailed to ants.conf@gmail.com.

IMPORTANT

Please notice that the copyright form must be at the conference organization offices by June 29, otherwise the contribution cannot be included in the ANTS 2018 proceedings.

Proceedings and journal special issue

Conference proceedings are published by Springer in the LNCS series.

The journal Swarm Intelligence will publish a special issue dedicated to ANTS 2018 that will contain extended versions of the best research works presented at the conference.

Last modification: December the 18th, 2017.