今回のGRACEセミナーでは，ロンドン大学の
研究者二人をお招きして，人工生命や生物学の
ソフトウェアへの活用についてご講演いただきます．
1件目は，iOSストアにおけるエコシステムの
人工生命での再現に関する具体的なトピックを，
2件目は，人工生命のソフトウェアへの
活用に関する様々なトピックをご紹介いただきます．
※今回のセミナーは英語で行われます.
◆◆第67回GRACEセミナー ◆◆
【日時】2013年4月4日（木）15:00-17:00
【会場】国立情報学研究所(NII) 20階 ミーティングルーム1・2（2009/2010）
〒101-8430 東京都千代田区一ツ橋2-1-2
[http://www.nii.ac.jp/about/access/]
【参加費】無料
参加ご希望の方は，下記よりご登録をお願いいたします:
http://form1.fc2.com/form/?id=628975
【お問い合わせ先】
石川冬樹(seminar-steering_AT_grace-center.jp)
_AT_を＠に書き換えてください。
—————————————-
How to be a Successful App Developer: Lessons from a Multi-Agent Simulation
of an App Ecosystem and a Worldwide User Survey
Soo Ling Lim (University College London)
Abstract:
App developers are constantly competing against each other to win more
downloads for their apps. With hundreds of thousands of apps in these online
stores, what strategy should a developer use to be successful? Should they
innovate, make many similar apps, optimise their own apps or just copy the
apps of others? Looking more deeply, how does a complex app ecosystem
perform when developers choose to use different strategies? To address these
questions, we have developed AppEco, the first Artificial Life model of
mobile application ecosystems. In AppEco, developer agents build and upload
apps to the app store; user agents browse the store and download the apps. A
distinguishing feature of AppEco is the explicit modelling of apps as
artefacts. We used AppEco to simulate Apple’s iOS app ecosystem and
investigate common strategies used by app developers. We evaluated the
success of each strategy in terms of number of downloads received, app
diversity, and adoption rate by developers. To improve the accuracy of user
modelling, we conducted one of the largest surveys of mobile app users to
collect data on user adoption of the app store concept, their app needs, and
their rationale for selecting or abandoning an app. The survey involved
10,208 participants from more than 15 countries, including UK, USA, China,
Japan, Germany, France, Brazil, Italy, Russia, India, Canada, Spain,
Australia, Mexico, and South Korea. Analysis of the data revealed novel
insights and country differences that can inform app development.
Bio:
Dr. Soo Ling Lim is a Research Associate at the UCL Interaction Centre,
Department of Computer Science, University College London. Soo Ling’s
research investigates mobile app ecosystems, social networks, and
requirements elicitation techniques for large software projects. Soo Ling
received a Ph.D. in large-scale software requirements engineering from the
University of New South Wales in Sydney, Australia in 2011. Before her PhD,
she was an ERP analyst programmer and a SAP consultant with the Computer
Sciences Corporation. She was also a software engineer at CIC Secure, a
Canberra-based company specialising in electronic key management and asset
security systems. Soo Ling received a Bachelor of Software Engineering
degree with first class honours from the Australian National University in
2005.
Why is My Computer Not a Brain?”
Peter Bentley (University College London)
Abstract:
Peter Bentley discusses computers, from their conception with pioneers such
as Turing, Shannon and von Neumann, to their most recent incarnations. He
describes how an understanding of biology has influenced computers over the
decades, and how we can use computers to understand biology. He gives
examples of work from the Digital Biology Group, including agent based
models of derivative trading, artificial immune systems, evolutionary Alife
models to investigate perception, and fault tolerant robot snakes. Finally
he asks what a biological computer could look like and describes his
systemic computer architecture, and how it can enable adaptive,
self-repairing software.
Bio:
Dr. Peter J. Bentley is an Honorary Reader and Senior College Teacher at the
Department of Computer Science, University College London (UCL),
Collaborating Professor at the Korean Advanced Institute for Science and
Technology (KAIST), Visting Fellow at SIMTech, A*STAR, Singapore, Visiting
Research Fellow at Goldsmiths College, London, a contributing editor for
WIRED UK, a consultant and a freelance writer. He achieved a B.Sc. (Hon’s)
degree in Computer Science (Artificial Intelligence) in 1993 and a Ph.D. in
evolutionary computation applied to design in 1996, at the age of 24. Peter
runs the Digital Biology Interest Group at UCL. His research investigates
evolutionary algorithms, computational development, artificial immune
systems, swarming systems and other complex systems, applied to diverse
applications including design, control, novel robotics, nanotechnology,
fraud detection, mobile wireless devices, security, art and music
composition. He is also author of the number one bestselling iPhone app
iStethoscope Pro. Peter was nominated for the $100,000 Edge of Computation
Prize in 2005, and was a finalist for the AAAS 2010 Science Books & Films
Prize. Through his research and his books he often gives public lectures,
takes part in debates, and appears on radio and television; he was the host
of the monthly Royal Institution’s Cafe Scientifique, and a Science Media
Expert for the RI Science Media Centre. He regularly gives plenary speeches
at international scientific conferences and is a consultant, convenor, chair
and reviewer for workshops, conferences, journals and books in the field of
evolutionary computation and complex systems. He has published over 200
scientific papers and is editor of the books “Evolutionary Design by
Computers”, “Creative Evolutionary Systems” and “On Growth, Form and
Computers”, and author of “The PhD Application Handbook” and the popular
science books “Digital Biology”, “The Book of Numbers”, “The Undercover
Scientist” and the forthcoming “Digitized.”
