Model-based Utility Functions

by   Bill Hibbard, et al.

Orseau and Ring, as well as Dewey, have recently described problems, including self-delusion, with the behavior of agents using various definitions of utility functions. An agent's utility function is defined in terms of the agent's history of interactions with its environment. This paper argues, via two examples, that the behavior problems can be avoided by formulating the utility function in two steps: 1) inferring a model of the environment from interactions, and 2) computing utility as a function of the environment model. Basing a utility function on a model that the agent must learn implies that the utility function must initially be expressed in terms of specifications to be matched to structures in the learned model. These specifications constitute prior assumptions about the environment so this approach will not work with arbitrary environments. But the approach should work for agents designed by humans to act in the physical world. The paper also addresses the issue of self-modifying agents and shows that if provided with the possibility to modify their utility functions agents will not choose to do so, under some usual assumptions.




Convergence of Expected Utility for Universal AI

We consider a sequence of repeated interactions between an agent and an ...

Performance of Bounded-Rational Agents With the Ability to Self-Modify

Self-modification of agents embedded in complex environments is hard to ...

Ethical Artificial Intelligence

This book-length article combines several peer reviewed papers and new m...

Agents and Devices: A Relative Definition of Agency

According to Dennett, the same system may be described using a `physical...

Embedded Agency

Traditional models of rational action treat the agent as though it is cl...

Ontological Crises in Artificial Agents' Value Systems

Decision-theoretic agents predict and evaluate the results of their acti...

Hypothesis Testing Approach to Detecting Collusion in Competitive Environments

There is growing concern about the possibility for tacit collusion using...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.