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Probabilistic Live bate Fishing

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Tim Ott, Jack Moore,

Raghavender PN,

Sandeep Reddy

MS&E 220

Is there still bait

on my hook?

 PROBLEM: Should the fisherman

reel in and check his hook?

 Rechecking the bait on a hook too frequently lowers total

fishing time and number of fish caught

 Not checking enough means you might be fishing with a hook

and no bait

 SOLUTION: Dynamic Equations & Probability

 In discrete time intervals, dynamic equations can help identify

a optimal time interval to re-check hook if no fish have been

hooked, as well as forecasted expected total catch

 Solution varies by frequency of bites fish (p) and probability of

fishing being caught if it nibbles on bait (q)

E ( x, y)  pq[1  E ( x 1, n)]  p(1  q) E ( x  y, n)  (1  p) E ( x 1, y 1)

Result: More Fish,

Less Doubt

*Optimal interval:

In this scenario, 11 minutes

fish bite bait every

10 min on average, Expected catch

and 7 in 10 that

bite get hooked. 7

6

Expected Catch









Reeling in 5

optimally, which is 4

every 11 min if no 3

fish is hooked, can 2

double catch 1



compared to less 0

0 20 40 60 80 100 120 140

patient approach

Frequency of reel in time (in minutes)

Time Periods (t)

Model Extensions

 Consideration of a “rookie factor” of losing bait

immediately upon cast

 Calculation of expected catch and optimal patience if

some fish are too small to keep

E ( x , y )  bl [ p l q l (1  E ( x  1, n ))  p l (1  q l ) E ( x  y , n )  (1  p l ) E ( x  1, y  1)] 

b (1  l )[ p s q s E ( x  1, n )  p s (1  q s ) E ( x  y , n )  (1  p s ) E ( x  1, y  1)]  (1  b ) E ( x  y , n )



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