Table 2.

AICc analysis of updating rules for Short-First condition

Updating Rule	Free Parameters	RSS	PVAF	ΔAICc
Short First Condition
Arithmetic Progression	44	118.0	85.4%	597.1
Geometric Progression	44	61.2	92.4%	6.9
Negative Acceleration	64	57.8	92.8%	0.0
Long First Condition
Arithmetic Progression	44	38.0	95.4%	88.0
Geometric Progression	44	48.0	94.2%	298.7
Negative Acceleration	64	32.7	96.0%	0.0

Note. Model evaluations are based on 5 trials × 45 1-s bins × 4 pigeons = 900 observations. The number of free parameters is the number of distribution parameters (3 for Short + 2 for Long = 5) multiplied by the number of updating-rule parameters (2 or 3), plus 1 error variance parameter, all multiplied by 4 pigeons. RSS is the residual sum of squares from curve fitting. PVAF is the percent variance accounted for by each model. ΔAICc is the difference between each model's AICc and the lowest AICc in each condition.