1. Department of Computer Science Project 2: Agent-based Modeling and Simulation of Wolf Pack Behavior  Group Project ---do we have any groups yet?  Each group uses its own theme (e.g. wolf pack social behavior, wolf pack hunting behavior,…); group has the freedom to choose whatever it wants.  Suggestion is to use REPAST or NETLOGO; good news: you will get some exposure to popular simulation packages for agent- based systems  There will be one (or two) labs but the project is more a learning by doing project.  Important: Subdivide Work Smartly between Group Members  Example System Wolf/Sheep/Grass Simulation: http://ccl.northwestern.edu/netlogo/models/run.cgi?WolfSheepPre dation.845.540 http://ccl.northwestern.edu/netlogo/models/run.cgi?WolfSheepPre dation.845.540

2. Department of Computer Science More on Project2  As the problem benefits from rapid prototyping, it is important:  Start Early! Start Early! Start Early!  Start with simple models, test them, and make the simple models more sophisticated as you move along  It is okay to abandon originally chosen subproblems which turn out to be too difficult/not interesting to solve and shift you focus to other subproblems or to develop a more sophisticated models for a subproblem which you are already investigating.

3. Department of Computer Science More on Project2 1.Short 3-4-page Report (1. Goals and Objectives, 2. Approach Chosen 3. Project Summary) is due on April 18, and each group gives a short talk followed by a program demo (15-25 minutes) during the class on April 19. 2.Deliverables: a.Report b.Source Code c.Read-Me File 3.Please e-mail a brief status report no later than April 15 to Zechun and Dr. Eick 4.What can be possible accomplishments/results of Project2:  Illustrates how model parameters influence the behavior of the developed model, in particular with respect to performance variables.  Developed rules and demonstrated that these rules result in a desirable behavior with respect to a set of agents  Educational: Using our systems people can learn A, B, C  Lessons learnt during the project