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in an experiment The simplest factorial design from the standpoint of randomization, data analysis, and model assumptions is based on a completely randomized design and, hence, is called a completely randomized factorial design A two-treatment completely randomized factorial design is denoted by the letters CRF-pq, where p and q denote the number of levels, respectively, of treatments A and B In the weight-loss experiment, a researcher might be interested in knowing also whether walking on a treadmill for 20 minutes a day would contribute to losing weight, as well as whether the difference between the effects of walking or not walking on the treadmill would be the same for each of the three diets To answer these additional questions, a researcher can use a two-treatment completely randomized factorial design.

As mentioned before, the main starting point in the design of the MDB was that the acquisition of knowledge should be automatic, so we establish that these three models must be obtained during execution time as the agent interacts with the world To perform this modeling process, information can be extracted from the real data the agent has after each interaction with the environment These data will be called action perception pairs and are made up of the sensorial data in instant t, the action applied in instant t, the sensorial data in instant t 1, and the satisfaction in t 1 Summarizing, for every interaction of the agent with its environment, two processes must be solved: 1 The modeling of functions W, I, and S using the information in the action perception pairs As we will explain later, these are learning processes 2.

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Let treatment A consist of the three diets (a1, a2, and a3) and treatment B consist of no exercise on the treadmill (b1) and exercise for 20 minutes a day on the treadmill (b2) This design is a CRF-32 design, where 3 is the number of levels of treatment A and 2 is the number of levels of treatment B The layout for the design is obtained by combining the treatment levels of a CR-3 design with those of a CR-2 design so that each treatment level of the CR-3 design appears once with each level of the CR-2 design and vice versa The resulting design has 3 2 = 6 treatment combinations as follows: a1b1, a1b2, a2b1, a2b2, a3b1, a3b2 When treatment levels are combined in this way, the treatments are said to be crossed The use of crossed treatments is a characteristic of all factorial designs.

The layout of the design with 30 girls randomly assigned to the six treatment combinations is shown in Figure 18 The classical model equation for the weight-loss experiment is Yi jk = +.

The optimization of the action using the models available at that time Figure 161 displays a block diagram of the MDB with arrows indicating the ow of execution The operation of the architecture can be summarized by considering that the selected action (represented by the current action block) is applied to the environment through an acting stage obtaining new sensing values These acting and sensing values provide a new action perception pair that is stored in short-term memory (STM) After this, the model learning processes start (for world, internal, and satisfaction models) trying to nd functions that generalize the real samples stored in the STM The best models in a given instant of time are taken as current world, internal, and satisfaction models and are used in the process of optimizing the action with regard to the predicted satisfaction of the motivation.

out, the printed material is often referred to as hard copy to differentiate it from soft copy, or work that is viewed only on the monitor and might still have further work needed before a hard copy is output. For example, when a guest is dining in a restaurant that has a computerized sales system, the server can view the soft copy of the guest s check on the monitor during the course of the meal, and add items to it as the meal progresses. The guest check can be reviewed on a monitor before printing a hard copy for presentation to the guest. Obviously, with all these various pieces of hardware in a computer system, there has to be a high degree of compatibility among them. In addition to compatibility of hardware, the software used must be compatible with the hardware.

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