laurence: using an estimate of say p or q is not very accurate when lot of players are around.

sov: another way of estimating food around, is to keep track of food eaten
	and your age.

vipul: our player will reproduce when its on a square with food.

pj: we have to coordinate the movement strategy with the reproduction strategy.

jeff: parent eating the food and reproducing is equivalent to reproducing and
	then reproducing.

peter: if the parent moves on the food and then reproduces, energy is needed
	to move.

john: you dont know how much food there is. if there's a lot, it may be beneficial to move and then reproduce. parents and children are not equivalent

john: we make the reproduction decision before the movement decision.
	we dotn move from food to other food.

deepti: looking for food, we can find a ratio of cost of staying versus
	cost of movement. This may influence the decision.

sasha: yet we are couting on that. because we;re estimating p and q.
	So its already taken care of.

ratul: the strategy of moving onto the food for reproducing depends on where
	you are and population dynamics

laurence: whoever is on the food gets a bit of more food than the other.

vipul: instead of producing a child, why not produce a parent. That is
	make a copy of the parent so the new parent has all the experience.
	we pass the length of the simulation to the offsprings.

laurence: reproduction is an important thing to change depending on the
	length of the game.

eric: most of the game is based on probability. if you have a grid of 9
	where parent is in the middle, it can communicate with the child
	that there is food near it.

james: I would like to propose a change to the simulator where the
	external state is updated 

jeff: the organisms may coordinate depending on the length of the simulation.

mike: the state changes would happen still on the regular basis.

miguel: now the cascading communication in a row of organisms can happen
	in one turn which wasnt possible before.

kar: any other new ideas ?

bogdan: our organisms like to sit around and not move very much.
	but we move the offspring away from the parent.

pj: in harsh environments, its better to move a little bit than just staying
	put.

mss: I agree with PJ. This is the way how we do it, but its based on some
	parameters which we're trying to tune.

suv: in fact the stay put organisms are staying put and then wandering a little
	bit.

hari: we also have a similar strategy based on some parameters.

mss: is it okay if we train the parameters offline.

eric: wouldnt you think that staying put in some conditions is better.
	so in case we can estimate p and it is very high, we might
	want to stay put.

miguel: if your behavior is based on p or q, its not good because you cannot
	control p and q.

kar: rejecting something because you dont have control maybe premature.

jeff: there's more of the world out there than you can see.

becky: thats what we have our player do. if we dont see anything for
	some turns, then go off in a random direction.

rob: we've added emotions to our organisms.

kar: tournaments!! its good for you to run your own mini-tournaments.

sov: our organisms dont really have a strategy after about 1500 rounds.

kar: how many players would like to include last year's players?

kar: lets talk about deliverables. Monday 5 pm is going to be the deadline.
	Upto 2 players per group. The report is due on Wednesday.
	we'll discuss this on Monday.

kar: does anyone think the behavior would be different in 2,3,4 player games.

anya: because you have the situation where one group's strategy might
	work well against one particular player.

bogdan: it also changes the initial phase.