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Continuous or Discrete - artificial intelligence:
The behaviour of the coming data in from the environment will change how the agent should be programming. In particular, the coming data may be discrete (compose of a limited number of clearly define parts) or continuous (seemingly without discernible sections). Obviously, given the behaviour of computer memory of basic concept (in bits and bytes), even stream video can be shoe-horned into the discrete category, but an intelligent agent will have to domestic because it have to deal with this as if it is continuous. The mathematics in the agent's programs will differ depending on whether the data is undertaken to be discrete or continuous.
Performance and Issues in Pipelining Throughput: Throughput of a pipeline can be defined as the number of results that have been getting per unit time. It can be denoted as:
A dialog box, generally square, that records an on or off value.
How is recursion handled internally? Internally, every recursive call to a function requires storing the intermediate values of the parameters and local variables in a run time
What are the update types possible? The following update types are possible: Update type A: The matchcode data is updated asynchronously to database changes. Update
Q. Functions for MPI Environment? Int MPI_Finalize (void) It ends the MPI environment. Any MPI function cannot be called after MPI_Finalize. Each MPI process belongs to on
#questi on.. How it works explain
1. Figure 1 below shows the truth table for five different functions. Each truth table shows the inputs x1, x2 and the desired output d. (a) Write down which of these functions
Functioning of ROLAP happens concurrently with relational databases. Data and tables are stored as relational tables. To hold new information or data new tables are formed. Functio
When a robot scripts runs the output makes a test log. Test logs are managed now is the TestManager application. Rational now permits you to classify your logs into any type of for
Multi-Layer Network Architectures: As we considered we saw in the previous lecture that perceptrons have limited scope in the type of concepts that they can learn - but they c
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