<p>The authors do actually give an English definition in terms of the well-known agent formulation of AI:</p>

<blockquote>
  <p>We intend this usage to be intuitive: death means that one sees
  no more percepts, and takes no more actions.</p>
</blockquote>

<p>It would seem that this becomes possible for a reinforcement learning agent such as AIXI in a formulation that uses <em>semi-measures</em> of probability (which need not sum up to 1), rather than the more traditional notion.</p>

CC BY-SA 3.0
2016-08-06T08:07:18.500Z
2016-08-06T08:07:18.500Z
NietzscheanAI
<p>In the paper <a href="http://arxiv.org/pdf/1606.00652.pdf" rel="nofollow noreferrer">Death and Suicide in Universal Artificial Intelligence</a>, a proposal is given for what death could mean for Artificial Intelligence. </p>

<p>What does this mean using English only? I understand that mathematical notation is useful for giving a precise definition, but I'd like to understand what the definition really means. </p>

<research><definitions><agi><death><aixi>
What does "death" intuitively mean in the paper "Death and Suicide in Universal Artificial Intelligence"?
wythagoras
# What does "death" intuitively mean in the paper "Death and Suicide in Universal Artificial Intelligence"?

(Asked by: username_0 on 2016-08-06)

In the paper [Death and Suicide in Universal Artificial Intelligence](http://arxiv.org/pdf/1606.00652.pdf), a proposal is given for what death could mean for Artificial Intelligence.

What does this mean using English only? I understand that mathematical notation is useful for giving a precise definition, but I'd like to understand what the definition really means.

**Tags:** research, definitions, agi, death, aixi


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## 1 answers

### Answer by username_1 on 2016-08-06. Score: 7 | Accepted answer

The authors do actually give an English definition in terms of the well-known agent formulation of AI:

> We intend this usage to be intuitive: death means that one sees
> no more percepts, and takes no more actions.

It would seem that this becomes possible for a reinforcement learning agent such as AIXI in a formulation that uses *semi-measures* of probability (which need not sum up to 1), rather than the more traditional notion.


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