Personal preference bot nets and the quantification of intention

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Personal preference bot nets

“Personal preference agents” are software autonomous agents (most commonly known as bots) that act on behalf of the individual. So if you for example tell your “personal preference agents” your needs such as a shopping list, the “personal preference agents” would automatically pursue tasks using AI to fetch whatever is on the list.

In the shopping example this would mean you would not have to spend time shopping and you would not be susceptible to vicious subliminal ads. It would save scarce time and attention for the human being by delegating AI to useful tasks.

Intent casting 101

Traditional literature would call the “personal preference agents” a conditional preference network or in the generic sense a software agent network. Doc Searls calls it intent casting in his video on the subject. The main idea of Doc Searls’s intent casting is to create an intention economy. Personal preference bots would be a means of bringing the decentralized “intention economy” to virtual citizens.

The “personal preference agent” would be a particular kind of software agent which can accept preferences by the person and using AI seek to meet those preferences by connecting to various different external networks, blockchains, the web, etc.

The idea is each virtual citizen should have the capability to utilize personal preference bots / “personal preference agents”. These bots would then interact with multiple blockchains, multiple API or network interfaces so that for example the bot owned by Alice could contact the bot owned by Bob over any open protocol in automated fashion to relay an encrypted message, conduct a trade/transaction, or coordinate as a swarm (a sort of collective transaction). This would give each virtual citizen the swarm intelligence capability and empower virtual citizens.

References

Searls, D. (2012). The customer as a God. The Wall Street Journal, 1-4.
Searls, D. (2013). Eof: Android for independence. Linux Journal, 2013(227), 9.

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