[UAI] [Deadline extension - May 26, 2017] UAI Causality Workshop: Learning, Inference, and Decision-Making

**Causality Workshop: Learning, Inference, and Decision-Making** Tuesday, August 15, 2017 Sydney, Australia Causality shapes how we view, understand, and react to the world around us. It’s a key ingredient in building AI systems that are autonomous and can act efficiently in complex and uncertain

[UAI] 7th UAI Causality Workshop: Learning, Inference, and Decision-Making

*Causality Workshop: Learning, Inference, and Decision-Making*Tuesday, August 15, 2017 Sydney, Australia Causality shapes how we view, understand, and react to the world around us. It’s a key ingredient in building AI systems that are autonomous and can act efficiently in complex and uncertain env

[UAI] Causality Award deadline extended to March 1, 2016

Dear friends in causality research, I am happy to announce that the deadline for submitting nominations for the Causality in Statistics Education Award has been extended to March 1st, 2016. For updated information, please see http://www.amstat.org/education/causalityprize/ . Nominations and ques

[UAI] Causality in the Sciences (CitS)

---please distribute as widely, apologies for cross postings--- Conference Series and Mailing List Announcement: Causality in the Sciences Conference Series (CitS) *http://www.kent.ac.uk/secl/philosophy/jw/cits.htm* Conferences, reading groups a

[UAI] Causality Study Fortnight - programme and abstracts on the web

--- please distribute as wide as possible, apologies for cross posting --- CAUSALITY STUDY FORTNIGHT http://www.kent.ac.uk/reasoning/Csf/ 8-19 September 2008 CENTRE FOR REASONING University of Kent, UK 8-9 September: 2 days of tutorials on causality, probability and their use in science. 10-12

[UAI] Causality Study Fortnight

---please distribute as wide as possible. apologies for cross posting--- CAUSALITY STUDY FORTNIGHT http://www.kent.ac.uk/reasoning/Csf/ 8-19 September 2008 CENTRE FOR REASONING University of Kent, UK 8-9 September: 2 days of tutorials on causality, probability and their use in science. 10-12

[UAI] Causality workbench

Dear Colleagues, We have started a program of benchmarks in causality. Please visit our website: http://clopinet.com/causality. We welcome comments and suggestions and are always looking for new interesting datasets. As part of that program, we have a **first challenge** going on (deadlin

Re: [UAI] Causality

Dear Joe:     Your comments go a long way toward clarifying the issue of definability of causality. As you put it, a precondition of your definition of causality is the existence of a structural model. The problem, as I see it, is that in most realistic settings a structural model does not exi

Re: [UAI] causality

Hi Lotfi, It's certainly true that our definition of causality depnds on the causal structure. In the same way, Tarski's definition of truth depends on having a relational model. It is also true that there are times when it might be hard to construct an appropriate structural model, because we d

Re: [UAI] causality

Joseph Halpern wrote: > Hi Lotfi, > > All your problems can be handled by our approach. Howver, the > answer depends on the model. In more detail > > >> 1. I am a manufacturer of raincoats. I would like to increase my >> sales. To this end, I increased the advertising budget by 20%. Six >

[UAI] causality

I responded privately to Lotfi regarding his causality questions. He asked me to post my response to the mailing list. So here is a somewhat edited version of my response to Lotfi: Hi Lotfi, All your problems can be handled by our approach. Howver, the answer depends on the mode

[UAI] Causality is Undefined. Causality is Undefinable. The Problem of Decombination.

*"Causality is Undefined. Causality is Undefinable. The Problem of Decombination."* On April 25, 2006 I posted the following message to the UAI list. I would appreciate any pointers to published definitions of causality which are capable of dealing with typical real-world problems exempli

[UAI] Causality and probability in the sciences

CALL FOR ABSTRACTS CAUSALITY AND PROBABILITY IN THE SCIENCES http://www.kent.ac.uk/secl/philosophy/jw/2006/capits.htm 14-16 June 2006 University of Kent, Canterbury, UK Causal inference is perhaps the most important form of reasoning in the sciences. A panoply disciplines, ranging from epidemi