Emergence Biology 361 = Computer Science 361 Bryn Mawr College Spring 2007

Frank Alvarez	Linked: The New Science of Networks, by Albert-Laszlo-Barabsi
Heather Fetting	Sync: The Emerging Science of Spontaneous Order, by Steven Strogatz
Natsui Fukui	Blink, by Malcom Gladwell
Mansi Gupta	Linked: The New Science of Networks, by Albert-Laszlo-Barabsi
Sam Kaplan	The Death and Life of Great American Cities, by Jane Jacobs
Rob Koropkin	The Modern Crisis, by Murray Bookchin
Lauren Maksym	Sync: The Emerging Science of Spontaneous Order, by Steven Strogatz
Alex Moser	The Tipping Point, by Malcolm Gladwell
Shika Prashad	The Tipping Point, by Malcolm Gladwell

New thoughts from there

Agent based modelling

Both conductors and planners/architects are themselves products of on ongoing process of emergence. So too are agents, the brain, meaning, purpose, science, and inquiry itself. All are (non-deterministically?) derivitive of properties and interactions that existed at earlier stages of emergence and that persist at lower levels of organization. Having come into existence, each becomes both an influence on lower levels of organization and an ingredient for the creation of new levels.

Agent-based models can do things (have properties?) that deterministic cellular automata do not. Agent-based models can be derived from suitable? cellular automata (deterministic?). Simple agent-based models are necessary and sufficient to generate (deterministically?) more complex agent-based models that in turn can do things that neither cellular automata nor simple agent-based models can do.

Making agents that can explore/infer

• Jessica Billings
• Heather Fetting
• Natsu Fukui
• Mansi Gupta and Shikha Prashad
• Sam Kaplan
• Rob Koropkin
• Rob Koropkin, revised
• Lauren Maksym
• Alex Moser and Frank Alvarez
• Alex Moser and Frank Alvarez, revised

Thinking about the rest of the semester ...

And about why some models/presentations are good/appealing and others less so

• Principles
• Reflections