Inconsistency robustness — Scriptorium Liberum

Inconsistency Robustness

✍ Carl Hewitt, John Woods 📂 Library 📅 2015 🏛 College Publications 🌐 English

Inconsistency robustness is information system performance in the face of continually pervasive inconsistencies---a shift from the previously dominant paradigms of inconsistency denial and inconsistency elimination attempting to sweep them under the rug. Inconsistency robustness is a both an observe

Contradictions, from Consistency to Inco

📁 Contradictions, from Consistency to Inconsistency

✍ Walter Carnielli, Jacek Malinowski 📂 Library 📅 2018 🏛 Springer International Publishing 🌐 English

<p>This volume investigates what is beyond the Principle of Non-Contradiction. It features 14 papers on the foundations of reasoning, including logical systems and philosophical considerations. Coverage brings together a cluster of issues centered upon the variety of meanings of consistency, contrad

Contradictions, from Consistency to Inco

📁 Contradictions, from Consistency to Inconsistency

✍ Walter Carnielli; Jacek Malinowski 📂 Library 🏛 Springer International Publishing 🌐 English

Robustness

📁 Robustness

✍ Lars Peter Hansen, Thomas J. Sargent 📂 Library 📅 2007 🌐 English

The standard theory of decision making under uncertainty advises the decision maker to form a statistical model linking outcomes to decisions and then to choose the optimal distribution of outcomes. This assumes that the decision maker trusts the model completely. But what should a decision maker do

Robustness

📁 Robustness

✍ Lars Peter Hansen; Thomas J. Sargent 📂 Library 📅 2011 🏛 Princeton University Press 🌐 English

<p>The standard theory of decision making under uncertainty advises the decision maker to form a statistical model linking outcomes to decisions and then to choose the optimal distribution of outcomes. This assumes that the decision maker trusts the model completely. But what should a decision maker

Robustness

📁 Robustness

✍ Lars Peter Hansen, Thomas J. Sargent 📂 Library 📅 2007 🏛 Princeton University Press 🌐 English

The standard theory of decision making under uncertainty advises the decision maker to form a statistical model linking outcomes to decisions and then to choose the optimal distribution of outcomes. This assumes that the decision maker trusts the model completely. But what should a decision maker do