Agent Incentives: A Causal Perspective
Authors: Tom Everitt, Ryan Carey, Eric D. Langlois, Pedro A. Ortega, Shane Legg11487-11495
AAAI 2021 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Theoretical | We present a framework for analysing agent incentives using causal influence diagrams. We establish that a well-known criterion for value of information is complete. We propose a new graphical criterion for value of control, establishing its soundness and completeness. We also introduce two new concepts for incentive analysis: response incentives indicate which changes in the environment affect an optimal decision, while instrumental control incentives establish whether an agent can influence its utility via a variable X. For both new concepts, we provide sound and complete graphical criteria. |
| Researcher Affiliation | Collaboration | Tom Everitt,*1* Ryan Carey,*2 Eric D. Langlois,*1,3,4 Pedro A. Ortega,1 Shane Legg1 1Deep Mind, 2University of Oxford, 3University of Toronto, 4Vector Institute tomeveritt@google.com, ry.duff@gmail.com, edl@cs.toronto.edu, pedroortega@google.com |
| Pseudocode | No | The paper does not contain any structured pseudocode or algorithm blocks. |
| Open Source Code | No | The paper states 'An open-source Python implementation of CIDs has recently been developed5 (Fox et al. 2021). 5https://github.com/causalincentives/pycid'. This refers to a general implementation of CIDs, not explicitly the specific code for the theoretical methodology described in this paper. |
| Open Datasets | No | The paper is theoretical and does not report on experiments using datasets for training or evaluation. |
| Dataset Splits | No | The paper is theoretical and does not describe experimental validation with dataset splits. |
| Hardware Specification | No | The paper is theoretical and does not describe any experimental setup involving specific hardware. |
| Software Dependencies | No | The paper is theoretical and does not specify software dependencies with version numbers for reproducibility of experiments. |
| Experiment Setup | No | The paper is theoretical and does not describe any experimental setup or hyperparameter details. |