All workshops except ELSI workshop will be held on the workshop day (July 25th). ELSI workshop will be held on July 26th.
We accepted the 8 workshops and 4 tutorials as listed below. The whole organization including review processes will be organized by organizers of each workshop. The detailed information will be provided at each workshop or tutorial website.
- Third Workshop on Open-Ended Evolution (OEE3): Hallmarks, Mechanisms and Empirical Demonstrations (July 25th, full day)
Organizers: Mark Bedau, Norman Packard, Alastair Channon, Tim Taylor, Steen Rasmussen and Takashi Ikegami.
From the first experiments with digital evolution in the 1950s to the increasingly sophisticated simulations of the present day, the concept of open-ended evolution (OEE) has been a central concern for Artificial Life researchers. The goal of the OEE3 workshop is to build upon the outcomes of OEE1 and OEE2, in relation to progress on behavioral hallmarks of systems undergoing OEE, hypothesized requirements (mechanisms) for systems to undergo OEE, and empirical demonstrations of hallmarks or requirements of OEE in models or natural systems. Contributions are encouraged from all three of the major branches of ALife: simulation, wet, and robotic. All submissions should refer to the observable behavioral hallmarks listed in section 3 of the OEE1 Workshop Report [https://doi.org/bpqb], published in the Artificial Life journal. Authors of selected contributions will be invited to expand their work for submission to a special issue of the Artificial Life journal.
- Workshop on a roadmap for alife (July 25th, full day)
Organizers: Olaf Witkowski, Julien Hubert
- Protocognition: Wisdom of mutes (July 25th, half day)
Organizers: Andrew Adamatzky, Yukio-Pegio Gunj, Jordi Vallverdú
Protocognition is acquaintance of information, recognition of stimulatory spaces, building up knowledge, and developing wisdom, sensing, decision mapping, learning, reasoning, believing, being erroneous, showing feeling and emotional states by chemical and physical substrates and living creatures without a nervous system. We welcome presentations on protocognitive abilities of single molecules and their ensembles, chemical reactions and media, fluids, patterns and nonlinearities, droplets, polymers, single cell organisms, including bacteria, protists and moulds, and their colonies, fungi, plants, algae. Papers are encouraged to show how apparently non-intelligent or even non-living substrates behave as if they sensibly and purposefully acquire information about their surroundings, analyse the information concurrently and make decisions based on the analysis. Processes analogous to memorising, learning and classification by protocognitive agents are of great interest. We also would like to have presentations on protoaffects, where spatio-temporal behavioural patterns of substrates and creatures are interpreted in a frameworks of emotional space. Experimental laboratory, computer modelling, mathematical and philosophical papers are very welcome.
- Developing Software Standards for the Artificial Life community (July 25th, half day)
Organizers: Clifford Bohm, Emily Dolson, Alexander Lalejini, Nitash CG, Charles Ofria
- The Synthetic Approach to Biology and the Cognitive Sciences (SA-BCS 2018): Developing an Epistemology for the Synthetic Sciences of Life and Cognition (July 25th, half day)
Organizers: Luisa Damiano, Pasquale Stano
- Cognitive Development, Learning and Representation Co-construction in Human-Robots Systems and Ambient Intelligence Systems (July 25th, half day)
Organizers: Amélie Cordier, Stéphane Doncieux, Amal El Fallah Seghrouchni, Frank Guérin, Salima Hassas, Bipin Indurkhya, Leonardo Lana De Carvalho, Mathieu Lefort, Georgi Stojanov
- (tentative) Constructive approaches to emergence of communication and language in natural and artificial agents + Social Learning and Cultural Evolution (SLACE) (July 25th, full day)
- Workshop organized by ELSI (July 26th, full day)
Tutorials will be held on July 24th or 26th. Each tutorial will be 2 hours.
- Simulating Complex Systems with FLAME GPU
Organizers: Paul Richmond, Mozhgan Kabiri Chimeh
Modelling and simulation of complex problems has become an established ‘third pillar’ of science, complementary to theory and experimentation. The multi-agent approach to modelling allows complex systems to be constructed in such as way as to add complexity from understanding at an individual level (i.e. a bottom-up approach). This approach is extremely powerful in a wide range of domains as diverse as computational biology to economics and physics. Whilst multi-agent modelling provides a natural and intuitive method to model systems the computational cost of performing large simulations is much greater than for top-down, system level alternatives.
In order for multi-agent modelling and simulation to be used as a tool for delivering excellent science, it is vital that simulation performance can scale, by targeting readily available computational resources effectively. Developed in UK since 2008, FLAME GPU provides this computational capacity by targeting readily available Graphics Processing Units capable of simulating many millions of interacting agents with performance which exceeds that of traditional CPU based simulators. Developed in UK since 2008, FLAME GPU is an extended version of the FLAME (Flexible Large-scale Agent-based Modelling Environment) framework and is a mature and stable agent-based modelling simulation platform that enables modellers from various disciplines like economics, biology and social sciences to easily write agent-based models. Importantly it abstracts the complexities of the GPU architecture away from modellers to ensure that modellers can concentrate on writing models without the need to acquire specialist knowledge typically required to utilise GPU architectures.
This tutorial is aimed at the intermediate level. No knowledge of GPUs is required however basic knowledge multi agent modelling approaches is expected (i.e. formulating a problem as a set of individuals within a system) as well as understanding of XML document structure and basic programming ability. The target audience for this tutorial is researchers/graduate students who are interested in the simulation of large multi-agent systems. In addition, members of the community who are constrained by current performance limitations in multi-agent software will find the tutorial particularly appealing.
By the end of the practical session, it is expected that the participants will understand how to write and execute a multi-agent model for FLAME GPU from scratch. Participants will leave with an appreciation of the key techniques, concepts, and algorithms which have been used.
- Introduction to Artificial Gene Regulatory Networks
Organizers: Sylvain Cussat-Blanc, Wolfgang Banzhaf
Gene regulatory networks are a central mechanism in the regulation of gene expression in all living organisms’ cells. Their function is well understood today: they are based on the production of proteins enhanced or inhibited by other proteins and signaling molecules from the inside and/or the outside of the cells. This produces complex dynamics through which cells from the same organism, with the exact same DNA, can form very different cell types (through cell differentiation) and have very different behaviors according to their types and positions. This tutorial will first introduce the biology of these networks, from the genetic aspect to the dynamics of gene regulation. Then, biologically plausible models will be presented to highlight the complexity of dynamics gene regulatory networks can produce. Using that model, we will show how computational models can be designed so that a genetic algorithm can optimize the network efficiently. We will present a set of applications in which artificial gene regulatory networks are plugged into diverse virtual agents (artificial cells in an artificial embryogenesis context, direct connection to the sensors and effectors or high-level behavior regulation in others). Demonstrations, showing the results obtained with this system, will be presented as well.
- Creative Prediction with Neural Networks
Organizers: Charles P. Martin, Kyrre Glette, Jim Tørresen
The goal of this tutorial is to apply predictive machine learning models to creative data. The focus will be recurrent neural networks (RNNs), deep learning models that can generate sequential and temporal data such as text or music. When embedded in a creative interface, they can be used for “predictive interaction” where a human collaborates with, influences, and is influenced by a generative neural network. We will walk through the fundamental steps for training creative RNNs using live-coded demonstrations in Python and present live demonstrations and interactive live-hacking of our creative RNN systems.
- Avida-ED: a tool for artificial life in the classroom
Organizers: Michael Wiser, Robbert Penock
The ALife2018 Organizing Committee invites proposals for Tutorials and
Workshops to be held in conjunction with The 2018 Conference on Artificial
Life (ALIFE 2018), which will be held in Tokyo, Japan on July 23rd-27th,2018.
If accepted, ALife will provide the onsite logistics (seminar rooms,
projectors, coffee breaks) and links from the main conference website. All
other organizational issues – including separate review process and
proceedings publication, if any – are taken care of by the workshop chairs.
Therefore, any workshop-specific requests from participants should be
exclusively addressed to them, not to the ALife committee. The internal
organization of the satellite workshops and tutorials (website, paper
submission, invited talks, proceedings, all deadlines except registration)
is entirely left up to their respective organizers. Participation in
workshops and tutorials requires conference registration.
Submission of Workshop/Tutorial Proposals is open now.
We will receive applications until January 19th, 2018.
The notification of acceptance will be given until February 19th.
(Early applications are possible if organizers want to get the word out early.)
*Workshop/Tutorial Information and/or submission proposal
The ALife 2018 workshops are intended to be forums to present and discuss
new approaches, visions, or critical reflections within a research area.
They provide an excellent opportunity to meet people with similar
interests, to be exposed to cutting-edge research and to exchange ideas in
an informal setting. The organizers of an accepted workshop are responsible
for its coordination and its publicity (e.g., for sending out call for
papers/abstracts), for collecting and reviewing the papers/abstracts, and
for maintaining a webpage providing a list of accepted talks. The workshops
are typically half day long. The format can be decided by the organizers
who are encouraged to plan interactive sessions.
ALife 2018 tutorials will be presented by domain experts to cover current
topics relevant to artificial life researchers and practitioners. Each
tutorial slot will be 2 hours long, then we encourage to include the
tutorial and also demos / interactive activities.
Each tutorial/workshop proposal should include:
1) title of the workshop/tutorial
2) name(s) and affiliation(s) of the organizer(s)/inspector(s), with relative contact details
3) a short CV of the organizer(s)/instructor(s)
4) a brief description (half-page) of the workshop/tutorial topics
Only for workshops:
5) potential target participants and audience
6) roughly approximated number of participants
7) rough estimate of the number of talks
8) whether you have a plan for preparing online (or pdf) proceedings or abstract booklets of the workshop or not
All proposals must be sent to: email@example.com