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Update time projection formula #106

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merged 2 commits into from
May 13, 2024
Merged

Update time projection formula #106

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b135959
Update time projection formula
ccrock4t May 6, 2024
c34e06e
flip the order of if-else
ccrock4t May 6, 2024
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1 change: 0 additions & 1 deletion pynars/Config.py
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Expand Up @@ -81,7 +81,6 @@ class Config:
n_sequence_attempts = 10
n_op_condition_attempts = 10

projection_decay = 0.99
Td_decision_threshold = 0.51

# what this value represents was originally equal to the termlink record length (10), but we may want to adjust it or make it scaled according to duration since it has more to do with time than # of records. it can probably be increased several times larger since each item should remain in the recording queue for longer than 1 cycle
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27 changes: 14 additions & 13 deletions pynars/NAL/Functions/TemporalFunctions.py
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Expand Up @@ -6,22 +6,23 @@
def project(truth: Truth, t_source: int, t_current: int, t_target: int):
'''
Reference:
[1] OpenNARS 3.1.0 TruthFunctions.java line 492~495:
```
public static final float temporalProjection(final long sourceTime, final long targetTime, final long currentTime, Parameters param) {
final double a = 100000.0 * param.PROJECTION_DECAY; //projection less strict as we changed in v2.0.0 10000.0 slower decay than 100000.0
return 1.0f - abs(sourceTime - targetTime) / (float) (abs(sourceTime - currentTime) + abs(targetTime - currentTime) + a);
}
```
[2] Hammer, Patrick, Tony Lofthouse, and Pei Wang. "The OpenNARS implementation of the non-axiomatic reasoning system." International conference on artificial general intelligence. Springer, Cham, 2016.
p.172 Non-Axiomatic Logic
— A Model of Intelligent Reasoning
(Second Edition)
'''
v = abs(t_source - t_target)

Section 5. Projection and Eternalization
t_current_is_in_interval = False
if t_source < t_target:
if t_current >= t_source and t_current <= t_target: t_current_is_in_interval = True
else:
if t_current <= t_source and t_current >= t_target: t_current_is_in_interval = True

$$k_c = \frac{|tB - tT|}{|tB - tC| + |tT - tC|}$$
if t_current_is_in_interval: s = 0.5
else: s = min(abs(t_source - t_current),abs(t_target-t_current))

$$c_{new} = (1 - k_c) * c_{old}$$
'''
c_new = truth.c * (Config.projection_decay ** (t_current - t_source))
confidence_discount = 1 - v/(2*s + v)
c_new = truth.c * confidence_discount
return Truth(truth.f, c_new, truth.k)


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