By Jordi Vallverdú
Considering Machines and the Philosophy of desktop technology: ideas and ideas offers a talk among validated specialists and new researchers within the box of philosophy and machine technological know-how approximately human and non-human relationships with the surroundings. This source comprises 5 sections together with subject matters on philosophical research, the posterior moral debate, the character of computing device simulations, and the crossroads among robotics, AI, cognitive theories and philosophy.
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Extra info for Thinking Machines and the Philosophy of Computer Science: Concepts and Principles
Sample text
On the other hand, the transitivity assumption has some controversial consequences. For information theoretic concepts to be useful for philosophical purposes, the semantic informational content of a signal needs to be uniquely identified. In standard accounts, the informational content of a signal is defined by conditional probabilities. However, conditional probabilities obey transitivity only if when they are 1, and thus the informational content of a signal is fixed in an absolute manner. This leads to the denial of partial information and misinformation, which sounds implausible at first glance (Lehrer & Cohen 1983; Usher 2001).
This of course says nothing about futuristic artefacts that, should AI ever become possible, would be welcome to join us. A second, apparent restriction comes with the more or less explicit holding not just of an 11 How to Account for Information informational content t, but also of a satisfactory account for it. It seems clear that animals do not hold explicit accounts for their information, so it follows that even the smartest dog can at most be informed that the neighbour’s cat is a nasty beast, and yet not know it.
Further simplifying, we transform each HC-question into a Boolean ques- How to Account for Information Figure 2. An information flow network with capacities and cut tion. ” So, t comes with an information deficit, which is quantifiable by the number of Boolean answers required to satisfy it. In our example, let us assume that t requires 10 Boolean answers. Accounting for t means answering t’s HCquestions correctly, that is, providing the necessary flow of information that can satisfy t’s Boolean deficit satisfactorily.