Bayesian-Based Search Decision Framework and Search Strategy Analysis in Probabilistic Search

Table 2

Comparison of search strategies under different false negative detection error.

(α, β)	(0.20, 0.10)	(0.20, 0.20)	(0.20, 0.30)	(0.20, 0.40)	(0.20, 0.50)
E[TTDs]improved saccadic	42.60	60.52	94.20	140.02	200.42
E[TTDc]improved saccadic	400.23	500.02	782.63	1000.05	1800.52
Pimproved saccadic	98.88%	98.82%	98.50%	97.88%	97.66%
E[TTDs]myopic	43.80	65.51	98.89	146.39	238.01
E[TTDc]myopic	48.28	54.03	65.88	86.89	138.48
Pmyopic	98.10%	98.02%	97.48%	97.10%	96.19%
E[TTDs]saccadic	48.74	65.58	96.17	142.39	228.56
E[TTDc]saccadic	413.33	527.20	808.84	1238.03	2019.07
Psaccadic	98.48%	98.34%	97.74%	97.66%	97.40%
E[TTDs]sweeping	471.53	581.68	645.59	684.54	698.40
E[TTDc]sweeping	21.48	23.88	25.65	26.19	26.60
Psweeping	94.50%	87.75%	75.34%	58.42%	40.53%
E[TTDs]random jump	403.60	453.33	478.12	494.39	499.42
E[TTDc]random jump	150.25	167.98	176.05	179.83	192.50
Prandom jump	84.47%	72.26%	59.69%	44.50%	31.02%
E[TTDs]snapshot	53.03	71.90	105.50	157.42	263.17
E[TTDc]snapshot	357.34	469.20	686.90	1048.95	1979.19
Psnapshot	98.09%	98.21%	98.13%	97.83%	97.59%