Synthese Special Issue on
Decision Theory and the Future of Artificial Intelligence

There is increasing interest in the challenges of ensuring that the long-term development of artificial intelligence (AI) is safe and beneficial. Moreover, despite different perspectives, there is much common ground between mathematical and philosophical decision theory, on the one hand, and AI, on the other. The aim of the special issue is to explore links and joint research at the nexus between decision theory and AI, broadly construed.

We welcome submissions of individual papers covering topics in philosophy, artificial intelligence and cognitive science that involve decision making including, but not limited to, subjects on

• causality

• decision making with bounded resources

• foundations of probability theory

• philosophy of machine learning

• philosophical and mathematical decision/game theory

Submissions:

Contributions must be original and not under review elsewhere. Although there is no prescribed word or page limit for submissions to Synthese, as a rule of thumb, papers typically tend to be between 15 and 30 printed pages (in the journal's printed format). Submissions should also include a separate title page containing the contact details of the author(s), an abstract (150-250 words) and a list of 4-6 keywords. All papers will be subject to the journal’s standard double-blind peer-review. 

Manuscripts should be submitted online through the journal's Editorial Manager. Please choose the appropriate article type for your submission by selecting "S.I. : DecTheory & FutOfAI" from the relevant drop down menu.

Deadline: 

The extended deadline for submissions is 31 March 2018. For further information about the special issue, please contact Yang Liu.

Guest Editors:

Yang Liu (University of Cambridge)
Huw Price (University of Cambridge)
Stephan Hartmann (LMU Munich)