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AND Gate

The AND Gate passes .true if all its input status values are .true.

This table lists what the AND Gate passes:

If It passes
Any input is .false
.false

All inputs are .true
.true

Maximum Unknown Inputs or fewer are unknown, and the rest are .true
.true

More than Maximum Unknown Inputs are unknown, and the rest are .true
unknown

All inputs are unknown
unknown

Note: If any input is .false, the AND Gate always passes .false, even if the number of unknown inputs is greater than Maximum Unknown Inputs.

Configuring

This is the configuration panel for the AND Gate.

Attribute Description
Logic
This attribute is for fuzzy logic, which NeurOn-Line does not support. If you want to use fuzzy logic and have GDA, refer to the documentation that came with GDA.

Use Expired Inputs
See "Determining Path Attributes for Peer Input Blocks".

Maximum Unknown Inputs
The number of inputs that can have a Status-value of unknown when determining whether the output inference value is .true or unknown.

Output Uncertainty
This attribute is for fuzzy logic, which NeurOn-Line does not support. If you want to use fuzzy logic and have GDA, refer to the documentation that came with GDA.

Example

This figure shows an AND Gate connected to four Belief Entry Points:

This table shows some sample input and output values for the AND block in the previous figure, with Maximum Unknown Inputs set to 2:

If the input values are The block passes
.true
.false
.true
.true
.false

.true
.true
.true
.true
.true

unknown
unknown
.false
unknown
.false

unknown
.true
unknown
unknown
unknown

.true
.true
unknown
unknown
.true

See Also

For more information on this block, see the sections below.

Click here for more information...
Basic Block Behavior

Connecting to Peer Input Blocks

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