This paper examines circumstances under which a preference for simplicity enhances the eectiveness of inductive reasoning. We con- sider a game in which Fate chooses a data generating process and agents are characterized by inference rules that may or may not fa- vor simpler theories over more complex ones. The basic intuition is that agents who do not prefer simple theories to more complex ones are doomed to \overt" the data and therefore engage in ineective learning. The analysis places no computational or memory limitations on the agents|a preference for simplicity emerges in the presence of unlimited reasoning powers
Inductive learning aims at finding general rules that hold true in a database. Targeted learning see...
Analogously to preferences for simpler scientific theories, simplicity might guide learning if forma...
We introduce a general class of simplicity standards that vary the foresight abilities required of a...
Much of perception, learning and high-level cognition involves finding patterns in data. But there a...
Inductive learning aims at finding general rules that hold true in a database. Targeted learning see...
We consider the dynamics of reasoning by general rules (theories) and by specific cases (analogies)....
Inductive learning aims at finding general rules that hold true in a database. Targeted learning see...
We consider the dynamics of reasoning by general rules (theories) and specific cases (analogies). Wh...
A growing literature suggests that generating and evaluating explanations is a key mechanism for lea...
This paper examines circumstances under which subjectivity enhances the effectiveness of inductive r...
This paper examines circumstances under which subjectivity enhances the effectiveness of inductive re...
Explaining the connection, if any, between simplicity and truth is among the deepest problems facing...
Inductive reasoning is a fundamental component of scientific thinking. Induction can be implicit or ...
Simplicity has long been recognized as an apparent mark of truth in science, but it is difficult to ...
Iterated elimination of strictly dominated strategies has a stronger epistemic foundation than itera...
Inductive learning aims at finding general rules that hold true in a database. Targeted learning see...
Analogously to preferences for simpler scientific theories, simplicity might guide learning if forma...
We introduce a general class of simplicity standards that vary the foresight abilities required of a...
Much of perception, learning and high-level cognition involves finding patterns in data. But there a...
Inductive learning aims at finding general rules that hold true in a database. Targeted learning see...
We consider the dynamics of reasoning by general rules (theories) and by specific cases (analogies)....
Inductive learning aims at finding general rules that hold true in a database. Targeted learning see...
We consider the dynamics of reasoning by general rules (theories) and specific cases (analogies). Wh...
A growing literature suggests that generating and evaluating explanations is a key mechanism for lea...
This paper examines circumstances under which subjectivity enhances the effectiveness of inductive r...
This paper examines circumstances under which subjectivity enhances the effectiveness of inductive re...
Explaining the connection, if any, between simplicity and truth is among the deepest problems facing...
Inductive reasoning is a fundamental component of scientific thinking. Induction can be implicit or ...
Simplicity has long been recognized as an apparent mark of truth in science, but it is difficult to ...
Iterated elimination of strictly dominated strategies has a stronger epistemic foundation than itera...
Inductive learning aims at finding general rules that hold true in a database. Targeted learning see...
Analogously to preferences for simpler scientific theories, simplicity might guide learning if forma...
We introduce a general class of simplicity standards that vary the foresight abilities required of a...