About the Workshop
A synthesized world model in a computer was much richer than the actual ones about 20 years ago. Now, a great deal of data can be acquired in various fields, and the world presented by the data becomes much richer than the artificial ones. Analysis and synthesis on the vast real-time dimension of the data as well as massive data flow of long time scale has become possible. This is, what we call, the era of Massive Data Flow (MDF).
A flood of huge amount of data is often referred to as Big Data, which connotes the era of "business" chance using the big data, from more profitable Web advertisments to customized medical services. What we aim to present here by the name of MDF is not such business applications but to discuss MDF as a basic science, which we name MDF science. A focus is also not only on a quantitative but qualitative diversity available today. For example, if you are free to take the spatial and temporal data from all the cells of a cat anytime and anywhere, what will you do? Would it significantly advance the problem of development?. Or would you come to understand what is life by doing so? We notice that absence of adequate theory/model of MDF is striking and the lack of epistemology account for the MDF science. For example, in Artificla Life community, we have tried to understand the behavior of the high-dimensional dynamical systems by projecting it onto a low-dimensional space. However, this is not applicable in case of MDF science. MDF reveals us that such conventional means does not work well and we are required to develop new ways of analysis and concepts.
How to understand a system without reducing its complexity is the slogan of complex systems science. Challenges in a variety of cross-disciplinary sciences under the slogan, still need to be encouraged. New epistemology to analyze the MDF without losing the complexity is yet to be proposed. We have organized several organized sessions in the Japanese Artificial Intelligence community, and this time to propose a discussion session in this Artificial life community to widely discuss the potentiality of artificial life in MDF!
We have organized the workshop by unifying the two concepts developed recently. One is known as Living Technology and the other one is the Web science. Any basic science can lead to innovative applications. Artificial life studies is no exception. The purpose of living technology is to bring to fruition the concepts developed through the study of artificial life, such as self-reproduction, autonomy, enaction, robustness, open-ended evolution, evolvability, and so on, in a real-world context.
Web science, is the new field of computer science which aims for handling new media based on the enormous information which is collected, analyzed and synthesized, to have better communication and services among people. The Web is one of the most complex artificial system that we know. We are now analyzing the web dynamics as a larger model, comparing to small size neural nets, to understand a brain dynamics in terms of information flow, default mode network, bursting behavior and so on. So far, creating and studying a minimalistic model for life is what has been done in artificial life. Here we examine the maximalistic model/thinking for life (creating a larger model). By extending the model of artificial life into the MDF world, we would like to argue what sort of new technology and concepts we can develop to understand life in the artificial and the real world. What is the living technology we can think of by applying the concept of artificial life into the Web science? How to build a new way of understanding the living state on MDF? We hope that these kinds of questions around MDF will be intensively discussed in this workshop.
12:55 welcome notes by the workshop organizers
13:00 Takashi Ikegami "Science of Massive Data Flow"
13:30 Georg Martius "Quantifying Emergent Behavior of Autonomous Robots"
14:00 Kohei Nakajima "Memory Traces in a Silicone-based Soft Robotic Arm"
14:30 coffee break
[2rd session: The Web]
14:45 Norman Packard "Twitter and Evolvability measure"
15:15 Mizuki Oka "Analysis of Bursting Behaviors in Twitter"
15:45 coffee break
[3rd session: Artificial Intelligence]
16:00 Matthias Scheutz "Big data and the cloud: an enabling mix for super-human capabilities in artificial intelligence that will affect us deeply"
16:30 Open Discussions
17:00 closing remarks
The Workshop will take place at the Villa Diodoro Hotel, Via Bagnoli Croci 75 98039 Taormina, Messina, Italy.
The workshop is co-located with the 12th European Conference on Artificial Life (ECAL 2013), September 2-6 2013, Taormina, Italy.
The registration can be done via the ECAL 2013 web site. registration: July 1 - September 2, 2013
Takashi Ikegami, The University of Tokyo, Japan.
Mizuki OkaUniversity of Tsukuba, Japan.
Norman Packard, ProtoLife Inc, San Francisco, USA.
Mark Bedau, Reed College, Portland, USA.
Rolf Pfeifer, ETH, Zurich, Switzerland
The workshop is partially supported by the JSPS Grant-in-Aid for Young Scientists (B) (#25730184 ”Burst Analysis of Twitter time series based on RT diffusion and its application to Web services"), JSPS Grant-in-Aid for Challenging Exploratory Research (”Development of the Revolutionary Experiment Setups for Studying Artificial Life Systems”), and Grant-in-Aid for Scientific Research on Innovative Areas (”The study on the neural dynamics for understanding communication in terms of complex hetero systems”)