Theoretical approach to the sitting problem

 

Framework

 

We define an abstract object to represent a lecture hall:

L:= < N,K,W >

Where:

Assumptions:




Model 1

Assumptions:

The agents choose the best seat, attempting to maximize their utility function that is given by:

Ui = -( a t + (1-a )b )

Where:
t = x+y

b = K-y



When agents are more concerned with minimizing their distance from the screen (or lecturer), a would be relatively small.




 

We can see that in this regime the agents bunch near the front, which is not surprising.







 

Starting with a simple model, which we could solve analytically, we are thus able to derive solutions for some extreme cases. We can extend this particular model by introducing heterogeneous agent population.




Extension:

If we imagine that the agents differ according to a values (e.g. a = Þ "Psyched" a = 1Þ "slackers")

We find:

 

 

Results robust to different functional forms (?), Realistic (?)

 

 

Model 2

Say people enter in a sequence of small groups, which want to sit in certain arrangements:

Assumptions:

Results:

  1. The piece below a group may be indifferent between locations over which the piece above has strong preferences. This implies that the piece above has incentive to wait.
  2. The piece above may "overtake", limiting incentive to wait.
  3. Faster entry rate of groups increases potential for strategic interaction.

Conjecture: Strategic interaction may result in efficiency.

Iris Ginzburg
Asim Khwaja
Justin Smith

16 June 1998