Page 146 - Artificial Intelligence for the Internet of Everything

132 Artificial Intelligence for the Internet of Everything

The meal planner can be authorized to order dishes or the ingredients for them
and arrange for delivery at desired times (another learned behavior). Similarly,
some people always order the same dish at a particular restaurant. This behav-
ior, too, can be quickly learned and applied appropriately. There are many
other components of our lives that have little to no variation. Many people
order the same toiletries, clothes, cars, take the same route to drive to work,
have the same weekly work schedule, and engage in the same sort of recre-
ational activities on a weekly basis. It is not unreasonable to assume that large
swatches of our lives can be automated. The benefit of this mode is that it
would take care of routine activities.
On a side note, we recall a time when people first attempted to “live off”
the world-wide web for a given period of time. In the same vein, it might be
asked whether people would be able to live in a fully autonomous mode.
Many people are creatures of habit. We believe that people can live in fully
autonomous mode. Whether such a life is interesting is another question.

7.6.2 Semiautonomous

In this mode the user gives some input to the model. In some cases infor-
mation will be requested, in other’s the user will simply override certain
inputs or parameters. The override may be as innocuous as not following
the directions of a navigation system. For a more concrete example, suppose
a cook heard about substituting riced cauliflower for rice in stir-fry dishes.
The cook may simply ask the recipe manager to use the new ingredient. If
there is a recipe in some user-permitted or accessible data base that already
accounts for the new ingredient, then it can be consulted. The automated
pantry would be authorized to purchase the new ingredient, if necessary.
If the system is sufficiently knowledgeable, it may inform the cook that they
may first have to obtain an appropriate device to turn cauliflower into riced
cauliflower.
When operating in this mode, we imagine that the input range will be
limited to acceptable operating parameters. Examples of this are Airbus air-
planes; they are designed not to be placed in a stall situation, no matter what
input a pilot gives.

7.6.3 Manual
In this mode, the user acts without the assistance of automation, but the sys-
tem will likely continue to record information. In this mode, the system will