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This is similar to a checkbox, in that the site visitor can t make up the value of the field. But unlike the checkbox, a set of radio buttons enable you to give the visitor a choice. Radio buttons are created in sets. When one button of a set is checked, then the other buttons in that set can t be checked. A good example of this is payment information: either you are paying by Visa, Mastercard, or American Express. Radio buttons are perfectly suited to collect this type of data. You create a set of radio buttons by assigning the same name attribute to all the buttons. Then, so you know which button was associated with which value, you assign a unique value to the value attribute of each radio button. For three buttons in a set, the skeletal HTML might look like this:



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When dealing with the problem of robots that are supposed to be autonomous, and leaving aside the whole discussion on body mind interaction (for this topic, see the excellent review in [1]), a question arises on how to obtain the complex adaptive control system that is required A control system such as the one that is necessary for autonomy is really something that goes beyond traditional control in terms of the speci cations or requirements These additional requirements imply the ability to learn the control function from scratch, the ability to change or adapt it to new circumstances, and the ability to interact with the world in real time while performing the aforementioned processes and, in some instances, even to change the objectives that guide the control system.





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CPAN, the directory of Perl modules, lists quite a few Gmail-related modules, one of which is shown in Figure 7-2. But at time of this writing, the only one working is Allen Holman s Mail::Webmail::Gmail.

Consequently, and to differentiate it from traditional control systems, these structures are usually called cognitive systems or mechanisms and in this chapter we will be dealing with ways to apply evolution as an intrinsic element within these structures Cognition, as de ned in [2], is The mental process of knowing, including aspects such as awareness, perception, reasoning, and judgment According to [3], cognitive systems can be taken as a collection of emerging information technologies inspired by the qualitative nature of biologically based information processing and information extraction found in the nervous system, human reasoning, human decision-making, and natural selection To this we think it is very pertinent to add that a cognitive system makes no sense without its link to the real (or virtual) world in which it is immersed and which provides the data to be manipulated into information, requiring, consequently, the capability of acting and sensing.

Angle of arrival; Time of arrival;

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It is from these broad de nitions that the actual implementations of cognitive systems must arise, and there are several elements that should be taken into account On one hand we have the mental process of knowing, that is, in more mathematical terms, of extracting models from data These models can be employed in the process of decision making so that appropriate actions may be taken as a function of sensing and motivation On the other, we have the decision-making process itself, and, in robotics, a decision is always related to an action or sequence of actions In a sense, the models must be used in order to decide the appropriate actions so as to ful ll the agent s motivations It is in how the model-making process and the action determination process takes place that cognitive mechanisms differ from each other.

A more in uential theory, perhaps, has been that of Donald Hebb (1949) Hebb suggested the necessity of distinguishing among different intelligences Intelligence A is innate potential It is biologically determined and represents the capacity for development Hebb described it as the possession of a good brain and a good neural metabolism (p 294) Intelligence B is the functioning of the brain in which development has occurred It represents an average level of performance by a person who is partially grown Although some inference is necessary in determining either intelligence, Hebb suggested that inferences about intelligence A are far less direct than inferences about intelligence B A further distinction could be made with regard to Intelligence C, which is the score one obtains on an intelligence test This intelligence is Boring s intelligence as the tests test it.

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