 |
|
|
Item Details
| Title:
|
BAYESIAN NETS AND CAUSALITY: PHILOSOPHICAL AND COMPUTATIONAL FOUNDATIONS
|
| By: |
Jon Williamson |
| Format: |
Hardback |
| List price:
|
£115.00 |
| Our price: |
£100.63 |
| Discount: |
|
| You save:
|
£14.37 |
|
|
|
|
|
| ISBN 10: |
019853079X |
| ISBN 13: |
9780198530794 |
| Availability: |
Usually dispatched within 1-3 weeks.
 Delivery
rates
|
| Stock: |
Currently 0 available |
| Publisher: |
OXFORD UNIVERSITY PRESS |
| Pub. date: |
23 December, 2004 |
| Pages: |
252 |
| Description: |
Bayesian nets are widely used in artificial intelligence as a calculus for causal reasoning, enabling machines to make predictions, perform diagnoses, take decisions and even to discover causal relationships. This book, aimed at researchers and graduate students in computer science, mathematics and philosophy, brings together two important research topics: how to automate reasoning in artificial intelligence, and the nature of causality and probability inphilosophy. |
| Synopsis: |
Bayesian nets are widely used in artificial intelligence as a calculus for causal reasoning, enabling machines to make predictions, perform diagnoses, take decisions and even to discover causal relationships. But many philosophers have criticised and ultimately rejected the central assumption on which such work is based - the Causal Markov Condition. So should Bayesian nets be abandoned? What explains their success in artificial intelligence? This book argues that the Causal Markov Condition holds as a default rule: it often holds but may need to be repealed in the face of counterexamples. Thus Bayesian nets are the right tool to use by default but naively applying them can lead to problems. The book develops a systematic account of causal reasoning and shows how Bayesian nets can be coherently employed to automate the reasoning processes of an artificial agent. The resulting framework for causal reasoning involves not only new algorithms but also new conceptual foundations. Probability and causality are treated as mental notions - part of an agent's belief state.Yet probability and causality are also objective - different agents with the same background knowledge ought to adopt the same or similar probabilistic and causal beliefs. This book, aimed at researchers and graduate students in computer science, mathematics and philosophy, provides a general introduction to these philosophical views as well as an exposition of the computational techniques that they motivate. |
| Illustrations: |
numerous figures |
| Publication: |
UK |
| Imprint: |
Oxford University Press |
| Returns: |
Returnable |
|
|
|
 |
Ramadan and Eid al-Fitr
A celebratory, inclusive and educational exploration of Ramadan and Eid al-Fitr for both children that celebrate and children who want to understand and appreciate their peers who do.
|
|
|
|
|
|
|
|
|
|
|