Free energy models of learning and acting do not only care about utility or extrinsic value, but also about intrinsic value, that is, the information value stemming from probability distributions that represent beliefs or strategies. While these intrinsic values can be interpreted as epistemic values or exploration bonuses under certain conditions, the framework of bounded rationality offers a complementary interpretation in terms of information-processing costs that we discuss here
How does logic relate to rational belief? Is logic normative for belief, as some say? What, if anyth...
How to efficiently explore in reinforcement learning is an open problem. Many exploration algorithms...
Why are you reading this abstract? In some sense, your answer will cast the exercise as valuable—but...
We offer a formal treatment of choice behavior based on the premise that agents minimize the expecte...
In addition to purely practical values, cognitive values also figure into scientific deliberations. ...
The Free Energy Principle (FEP) postulates that biological agents perceive and interact with their e...
Bounded rationality concerns the study of decision makers with limited information processing resour...
We study an information-theoretic framework of bounded rational decision-making that trades off util...
Perfectly rational decision-makers maximize expected utility, but crucially ignore the resource cost...
Active Inference (AIF) is a framework that can be used both to describe information processing in na...
We propose a framework for including information-processing bounds in rational analyses. It is an ap...
The paper addresses two fundamental issues in epistemic axiology. It argues primarily that curiosity...
We apply the private core and the private value to a dynamic economy and study the evolution of priv...
The ability to form abstractions and to generalize well from few samples are hallmarks of human and ...
The free energy principle provides an increasingly popular framework to biology and cognitive scienc...
How does logic relate to rational belief? Is logic normative for belief, as some say? What, if anyth...
How to efficiently explore in reinforcement learning is an open problem. Many exploration algorithms...
Why are you reading this abstract? In some sense, your answer will cast the exercise as valuable—but...
We offer a formal treatment of choice behavior based on the premise that agents minimize the expecte...
In addition to purely practical values, cognitive values also figure into scientific deliberations. ...
The Free Energy Principle (FEP) postulates that biological agents perceive and interact with their e...
Bounded rationality concerns the study of decision makers with limited information processing resour...
We study an information-theoretic framework of bounded rational decision-making that trades off util...
Perfectly rational decision-makers maximize expected utility, but crucially ignore the resource cost...
Active Inference (AIF) is a framework that can be used both to describe information processing in na...
We propose a framework for including information-processing bounds in rational analyses. It is an ap...
The paper addresses two fundamental issues in epistemic axiology. It argues primarily that curiosity...
We apply the private core and the private value to a dynamic economy and study the evolution of priv...
The ability to form abstractions and to generalize well from few samples are hallmarks of human and ...
The free energy principle provides an increasingly popular framework to biology and cognitive scienc...
How does logic relate to rational belief? Is logic normative for belief, as some say? What, if anyth...
How to efficiently explore in reinforcement learning is an open problem. Many exploration algorithms...
Why are you reading this abstract? In some sense, your answer will cast the exercise as valuable—but...