Alife 2019: Programme Tuesday 30 Jul, 2:30 p.m.

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Evolution 1

Room: USB.2.022

Chair: Gusz Eiben

14:30 Karine Miras, A.E. Eiben:
The impact of environmental history on evolved robot properties
15:00 Nicholas Guttenberg:
Evolutionary rates of information gain and decay in fluctuating environments
15:30 Yara Khaluf, Heiko Hamann:
Modulating Interaction Times in an Artificial Society of Robots

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Special Session: Hybrid Life 2

Room: USB.G.003

Chair: Keisuke Suzuki

14:30 Miguel Aguilera, Iñigo Arandia-Romero, Manuel Heras-Escribano:
Quantifying affordances through information theory
15:00 Dominique Chen, Hiraku Ogura, Young Ah Seong:
NukaBot: Research and Design of a Human-Microbe Interaction model
15:30 Hiroyuki Iizuka, Yosuke Nakamoto, Masahito Yamamoto:
Hybrid Synthetic Approach to Animal Interaction

Tutorial: Artificial Gene Regulatory Networks

Room: USB.4.005

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). Demos, showing the results obtained with this system, will be presented all along the tutorial. Read more

Tutorial: Cartesian Genetic Programming

Room: NUBS 1.11

Cartesian Genetic Programming (CGP) is a well-known and respected form of Genetic Programming. Its generality means that it can be applied to a wide range of computational problems in many fields including Alife. Read more

Workshop: Process Modelling & Self-Organization 4

Room: NUBS 2.03

We will discuss why and how process-based frameworks can be used to represent different kinds of interactions and the emergence of structures from such basic interactions in different domains. On the one hand, we will present lectures of foundational kind, i.e. explaining the basics of these frameworks as well as some relevant mathematical and algorithmic issues, and on the other hand we will present novel applications related to areas such as ecology, evolution, sustainability, and others. Read more

Workshop: Social Learning & Cultural Evolution 2

Room: NUBS 2.10

The fields of social learning and cultural evolution aim at understanding how the exchange of knowledge within a group of individuals influences their performance. While cultural evolution focuses on how collective knowledge evolves over time within a population, social learning is concerned with the exchange of knowledge among individuals. Cultural evolution builds upon the mechanisms offered by social learning. This relationship is visible within the Alife community as social learning and cultural evolution are studied using similar methodologies, such as evolutionary robotics, evolutionary game theory, and evolutionary algorithms. This edition of the workshop will mainly, but not exclusively, focus on grand challenges of social learning and cultural evolution research in artificial life. Read more

Workshop: Synthetic Biology & Ecology 2

Room: NUBS 2.14

The aim of this workshop is to bring together an exciting cross section of people from the fields of synthetic ecology, microbial ecology, artificial life and beyond to develop and consolidate emerging new approaches and ways of thinking to design and manipulate microbial ecosystems. Our scope spans naturally-occuring communities to synthetic ecosystems, as well as artificially-selected or manipulated “hybrid” systems. Read more

Tuesday 30 Jul, 2:30 p.m. — 4 p.m.