Abstract
causal decision theory evidential decision theory sequential
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsNotes
- 1.
materialistic naturalistic
- 2.
- 3.
smoking lesion problem Ega07 does
- 4.
References
Ahmed, A.: Evidence, Decision and Causality. Cambridge University Press, Cambridge (2014)
Bostrom, N.: Superintelligence: Paths, Dangers, Strategies. Oxford University Press, Oxford (2014)
Briggs, R.: Normative theories of rational choice: expected utility. In: Zalta, E.N. (ed.) The Stanford Encyclopedia of Philosophy. Fall 2014 edition (2014)
116
Gibbard, A., Harper, W.L.: Counterfactuals and two kinds of expected utility. In: Harper, W.L., Stalnaker, R., Pearce, G. (eds.) Foundations and Applications of Decision Theory. The University of Western Ontario Series in Philosophy of Science, vol. 15, pp. 125–162. Springer, Heidelberg (1978)
Jeffrey, R.C.: The Logic of Decision, 2nd edn. University of Chicago Press, Chicago (1983)
Joyce, J.M.: The Foundations of Causal Decision Theory. Cambridge University Press, Cambridge (1999)
59
LaVictoire, P., Fallenstein, B., Yudkowsky, E., Barasz, M., Christiano, P., Herreshoff, M.: Program equilibrium in the prisoner’s dilemma via Lö’s theorem. In: AAAI Workshop on Multiagent Interaction without Prior Coordination (2014)
519
Nozick, R.: Newcomb’s problem and two principles of choice. In: Rescher, N. (ed.) Essays in Honor of Carl G. Hempel. SL, vol. 24, pp. 114–146. Springer, Heidelberg (1969)
Orseau, L., Ring, M.: Space-time embedded intelligence. In: Bach, J., Goertzel, B., Iklé, M. (eds.) AGI 2012. LNCS, vol. 7716, pp. 209–218. Springer, Heidelberg (2012)
Pearl, J.: Causality, 2nd edn. Cambridge University Press, New York (2009)
http://futureoflife.org/static/data/documents/research_priorities.pdf
Russell, S.J., Norvig, P.: Artificial Intelligence. A Modern Approach, 3rd edn. Prentice Hall, Saddle River (2010)
Savage, L.J.: The Foundations of Statistics. Dover Publications, New York (1972)
http://intelligence.org/files/TowardIdealizedDecisionTheory.pdf
Soares, N., Fallenstein, B.: Two attempts to formalize counterpossible reasoning in deterministic settings. In: Bieger, J., Goertzel, B., Potapov, A. (eds.) Artificial General Intelligence. LNCS, vol. 9205. Springer, Heidelberg (2015)
79
Weirich, P.: Causal decision theory. In: Zalta, E.N. (ed.) The Stanford Encyclopedia of Philosophy. Winter 2012 edition (2012)
Yudkowsky, E.: Artificial intelligence as a positive and negative factor in global risk. In: Bostrom, N., M ćirković, M. (eds.) Global Catastrophic Risks, pp. 308–345. Oxford University Press (2008)
Acknowledgments
This work was in part supported by ARC grant DP120100950. It started at a MIRIxCanberra workshop sponsored by the Machine Intelligence Research Institute. Mayank Daswani and Daniel Filan contributed in the early stages of this paper and we thank them for interesting discussions and helpful suggestions. We also thank Nate Soares for useful feedback.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this paper
Cite this paper
Everitt, T., Leike, J., Hutter, M. (2015). Sequential Extensions of Causal and Evidential Decision Theory. In: Walsh, T. (eds) Algorithmic Decision Theory. ADT 2015. Lecture Notes in Computer Science(), vol 9346. Springer, Cham. https://doi.org/10.1007/978-3-319-23114-3_13
Download citation
DOI: https://doi.org/10.1007/978-3-319-23114-3_13
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-23113-6
Online ISBN: 978-3-319-23114-3
eBook Packages: Computer ScienceComputer Science (R0)