2011-2012 Lectures and Seminars

 
 

Michael Macy

Michael Macy


The Relational Revolution: How Digital Records of Human Interactions are Transforming Social Science
Date:  Thursday, September 26, 2011
Time:  7:00 pm
Where:  ARTS 150

 

Melanie Mitchell

Melanie Mitchell

 

Lecture 1
Complexity: A Guided Tour 
Date:  Thursday, October 20, 2011 
Time:  7:00 pm
Where:  ARTS 150

Lecture 2
How to Understand Pictures (If You are a Computer)
Date:  Friday, October 21, 2011
Time:  12-1:00 pm 
Where:  CPISB 120

Lecture 3
Tea and Conversation with Melanie Mitchell: A woman with Complexity
Date:  Friday, October 21, 2011
Time: 3-4:30 pm
Where:  UAA Campus Bookstore 

 

Melanie Moses

Melanie Big Sur 2010


Dr. Moses is an Assistant Professor in the Department of Computer Science at the University of New Mexico, with a joint appointment to the Department of Biology.  She concentrates on scaling properties of biological, social, and information networks, and the general rules governing the acquisition and efficiency of energy and information exchanges in complex adaptive systems.  

 
Lecture 1
“Network Scaling: How size determines the growth and behavior of organisms and societies”

Scaling properties of networks that deliver energy and information within industrial societies can affect the behavior of people living in those societies.  Scaling theory offers the perspective that human life spans, reproductive choices, and economic structures may be constrained by the way that energy flows through networks in modern societies.

Date:  Thursday, October 13th, 2011
Time:  7:00 pm
Where:  ARTS 150


Lecture 2
“Search Algorithms from Ant Colonies to Robotic Swarms”

Successful search by a colony is an emergent property of the behaviors and interactions of individual ants. Computer simulations demonstrate how pheromone communication and memory of individual ants contribute to successful search by a colony.  Genetic algorithms ‘evolve’ successful search strategies in simulated ants and these successful strategies are implemented as algorithms to develop intelligent robot swarms capable of effectively searching for resources in a variety of environments.

Date:  Friday, October 14th
Time:  Noon
Where:  CPISB 120