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

Table 3

Comparison of search strategies under different false positive detection error.

(α, β)	(0.10, 0.20)	(0.20, 0.20)	(0.30, 0.20)	(0.40, 0.20)	(0.50, 0.20)
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%	97.88%	97.69%	97.66%
E[TTDs]myopic	49.65	65.51	88.64	131.45	221.10
E[TTDc]myopic	51.20	54.03	65.59	80.02	132.73
Pmyopic	98.05%	98.02%	97.43%	97.19%	96.65%
E[TTDs]saccadic	50.13	65.58	92.11	130.49	217.11
E[TTDc]saccadic	365.74	527.20	719.66	1085.39	1949.19
Psaccadic	98.52%	98.34%	97.69%	97.53%	97.15%
E[TTDs]sweeping	401.08	581.68	670.16	698.94	699.00
E[TTDc]sweeping	18.53	23.88	26.81	26.72	27.59
Psweeping	95.12%	87.75%	75.93%	55.77%	35.12%
E[TTDs]random jump	362.41	453.33	478.20	498.72	499.99
E[TTDc]random jump	142.69	167.98	185.31	196.06	200.48
Prandom jump	86.23%	72.26%	55.51%	40.09%	27.69%
E[TTDs]snapshot	57.69	71.90	102.86	145.77	230.56
E[TTDc]snapshot	363.62	469.20	709.80	1112.78	1941.73
Psnapshot	98.31%	98.21%	97.69%	97.67%	97.18%