Kevin Korb: Publications

6

Bayesian information reward
with Lucas Hope

355

Bayesian Informal Logic and Fallacy
Informal Logic 24 (1): 41-70. 2004.

Bayesian reasoning has been applied formally to statistical inference, machine learning and analysing scientific method. Here I apply it informally to more common forms of inference, namely natural language arguments. I analyse a variety of traditional fallacies, deductive, inductive and causal, and find more merit in them than is generally acknowledged. Bayesian principles provide a framework for understanding ordinary arguments which is well worth developing

Informal Logic Bayesian Reasoning, Misc Updating Principles

9

The causal interpretation of Bayesian Networks
with Ann Nicholson

16

A new definition of creativity
with Alan Dorin

Mental States and Processes Aesthetic Imagination

Bayesian Informal Logic and Fallacy
Informal Logic 23 (1). 2003.

Bayesian reasoning has been applied formally to statistical inference, machine learning and analysing scientific method. Here I apply it informally to more common forms of inference, namely natural language arguments. I analyse a variety of traditional fallacies, deductive, inductive and causal, and find more merit in them than is generally acknowledged. Bayesian principles provide a framework for understanding ordinary arguments which is well worth developing.

Informal Logic

38

Inference in the Wild: A Framework for Human Situation Assessment and a Case Study of Air Combat
with Ken McAnally, Catherine Davey, Daniel White, Murray Stimson, and Steven Mascaro

Cognitive Science 42 (7): 2181-2204. 2018.

11

A Bayesian metric for evaluating machine learning algorithms
with Lucas Hope

Bayesian Reasoning, Misc

Kevin Korb

Bayesian information reward with Lucas Hope

Bayesian Informal Logic and Fallacy Informal Logic 24 (1): 41-70. 2004.

The causal interpretation of Bayesian Networks with Ann Nicholson

A new definition of creativity with Alan Dorin

Bayesian Informal Logic and Fallacy Informal Logic 23 (1). 2003.

Inference in the Wild: A Framework for Human Situation Assessment and a Case Study of Air Combat with Ken McAnally, Catherine Davey, Daniel White, Murray Stimson, and Steven Mascaro Cognitive Science 42 (7): 2181-2204. 2018.

A Bayesian metric for evaluating machine learning algorithms with Lucas Hope