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Download size: 95Mb
Version: 1.2.3
Requires Android: 4.4 & Up
Description

Causality is a puzzle game about manipulating time, altering the sequence of events and changing the outcome of each level.

Set across strange and alien landscapes, help a group of stranded astronauts find a route to safety. Travel through time, work with your past selves and solve paradoxes as you take on this uniquely challenging puzzler.

Each level represents a brief but hazardous moment in time. Levels are completed by guiding each astronaut to an exit that matches their colour, within a limited time frame. When all astronauts reach an exit the level is complete.

– Control time and change the outcome of each level
– Work with your past selves to solve puzzles
– 60 levels to complete
– 13 achievements to unlock

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Causality download free. full

JUDEA PEARL - HOME

Causality download free. full

HOMEPUBLICATIONSBIOCAUSALITYPRIMERWHYDANIEL PEARL FOUNDATION

Welcome to my homepage.

To find out what I am up to, new submissions, working papers, adventures and introspections, click here.

For discussions and disputations concerning controversial topics read the Causality Blog.

To view the slides of my tutorial at the Joint Statistical Meetings (JSM-16), Chicago, IL, August 1, 2016, click [ppt] or [pdf].

To view my commencement speech at the University of Toronto June 21, 2007, click here.For transcript, click here.

For a gentle introduction to my current research on causality, [click 1 or 2].

Causality Free Download

Transcript and slides of 1996 Faculty Research Lecture: The Art and Science of Cause and Effect

Transcript and slides of 1999 IJCAI Award Lecture: Reasoning with Cause and Effect

Technical material supporting the story in 1-2, can be found [postscript] or [pdf] in:

Causality Download Free

  • (R-350): [pdf]
    J. Pearl, 'Causal inference in statistics: An overview,' Statistics Surveys, 3:96--146, 2009.
  • (R-264): [pdf]
    J. Pearl, ``Simpson's paradox: An anatomy' Extracted from Chapter 6 of CAUSALITY.
  • (R-218-B): [postscript][pdf]
    J. Pearl, 'Causal Diagrams for Empirical Research' Biometrika, 82(4), 669--710, December 1995.
Causality Download Free

Causality Download Free Pdf

Key publications related to causality

  • (R-320):[postscript][pdf]
    J. Pearl, 'Robustness of Causal Claims' In Proceedings of the 20th Conference on Uncertainty in Artificial Intelligence, AUAI Press: Arlington, VA, 446-453, July 2004.
  • (R-290):[pdf]
    J. Tian and J. Pearl, 'A General Identification Condition for Causal Effects' In Proceedings of the Eighteenth Conference on Artificial Intelligence, AAAI/The MIT Press: Menlo Park, 567-573, August 2002.
  • (R-273-U): [postscript][pdf]
    J. Pearl, 'Direct and Indirect Effects' In Proceedings of the Seventeenth Conference on Uncertainty in Artificial Intelligence, San Francisco, CA: Morgan Kaufmann, 411-420, 2001.
  • (R-266-Part1):[pdf]
    J.Y. Halpern and J. Pearl, 'Causes and explanations: A structural-model approach
    • -- Part I: Causes' In British Journal of Philosophy of Science, 56:843-887, 2005.
  • (R-266-Part2): [pdf]
    J.Y. Halpern and J. Pearl, 'Causes and explanations: A structural-model approach
    • -- Part II: Explanations' In British Journal of Philosophy of Science, 56:889-911, 2005.
  • (R-269): [postscript][pdf]
    J. Pearl, 'The logic of counterfactuals in causal inference (Discussion of `Causal inference without counterfactuals' by A.P. Dawid),' In Journal of American Statistical Association, Vol. 95, No. 450, 428--435, June 2000.
  • (R-271-A): [postscript][pdf]
    J. Tian and J. Pearl, 'Probabilities of causation: Bounds and identification' In Annals of Mathematics and Artificial Intelligence, Vol. 28, 287--313, 2000.

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