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Friday 2 Aug, 4 p.m. — 5:30 p.m.

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Evolution 3

Room: USB.2.022
Chair: Yuji Kawai
  1. 16:00 Geoff Nitschke, Alex Furman, Danielle Nagar:
    The Cost of Big Brains in Groups
  2. 16:30 Martin Biehl and Ryota Kanai:
    From abstract objects via Darwinian evolution to species in dynamical systems
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Philosophy, Language, Art & Education 3

Room: USB.G.003
Chair: Charles Ofria
  1. 16:00 Hiroto Yonenoh, Reiji Suzuki, Takaya Arita:
    The Effects of Individual and Social Learning on the Evolution of Cognitive and Communicative Aspects of Language Abilities
  2. 16:30 Nam Le:
    Organic Selection and Social Heredity: The Original Baldwin Effect Revisited
  3. 17:00 Wataru Noguchi, Hiroyuki Iizuka, Shigeru Taguchi, Masahito Yamamoto:
    Spatial Representation of Self and Other by Superposed Neural Network Model

Tutorial: Avida-ED

Room: NUBS 1.11
One of the most challenging issues in science education is for students to engage in authentic science practice, rather than just learning a list of facts that others have discovered. Though science is predicated on evidence rather than authority, students are often expected to simply accept what their book or teacher says. Even instructors interested in having students learn real scientific practices face stumbling blocks: many experiments are very time-intensive, or require specialized equipment, or are impractical in a classroom setting. One way to overcome these limitations is to turn to artificial life. Read more

Tutorial: Intelligent Systems for Smart Cities

Room: USB.4.005
This tutorial will discuss on potential applications of intelligent systems for energy (like adaptive lighting in streets), environmental applications (like mobile sensors for air pollution), smart building (intelligent design), and several other applications linked to smart living, tourism, and smart municipal governance. Read more

Workshop: Computational Approaches to Social Dynamics 2

Room: NUBS 2.03
The recent explosion of online big data has allowed us to conduct high-resolution quantitative modeling and analysis of complex human social behaviors. This has completely changed the way of studying collective behaviors of humans in social systems. Conventional approaches that attempted to model human behaviors using mathematically rigorous yet idealized game theoretic frameworks often failed to predict real social dynamics, because humans are often irrational and do not follow well-defined decision making protocols. Big data analytics provides us with more empirical methods and tools to capture and analyze such realistic human behaviors. Read more

Workshop: Development of Neural Networks 2

Room: NUBS 2.10
In nature, brains are built through a process of biological development in which many aspects of the network of neurons and connections change are shaped by external information received through sensory organs. Biological development mechanisms such as axon guidance and dendrite pruning have been shown to rely on neural activity. Despite this, most artificial neural network (ANN) models do not include developmental mechanisms and regard learning as the adjustment of connection weights, while some that do use development restrain it to a period before the ANN is used. It is worthwhile to understand the cognitive functions offered by development and to investigate the fundamental questions raised by artificial neural development. In this workshop, we will explore existing and future approaches that aim to incorporate development into ANNs. Read more