Updating publication title and authorship

Author: levitation

CITATION.cff

@@ -4,10 +4,7 @@ authors:
 - family-names: "Pihlakas"
   given-names: "Roland"
   orcid: "https://orcid.org/0009-0006-4882-4166"
-- family-names: "Pyykkö"
-  given-names: "Joel"
-  orcid: "https://orcid.org/0000-0000-0000-0000"
-title: "From homeostasis to resource sharing: Biologically and economically aligned multi-objective multi-agent AI safety benchmarks"
+title: "From homeostasis to resource sharing: Biologically and economically aligned multi-objective multi-agent gridworld-based AI safety benchmarks"
 version: 0.9.1
 doi: 10.48550/arXiv.2410.00081
 date-released: 2024-09-30

README.md

@@ -13,7 +13,7 @@ The source code for the **Extended Gridworlds** framework can be found at [https
 
 ## Authorship and How to Cite
 
-Roland Pihlakas and Joel Pyykkö. From homeostasis to resource sharing: Biologically and economically aligned multi-objective multi-agent AI safety benchmarks. Arxiv, a working paper, September 2024 (https://arxiv.org/abs/2410.00081).
+Roland Pihlakas. From homeostasis to resource sharing: Biologically and economically aligned multi-objective multi-agent gridworld-based AI safety benchmarks. Arxiv, a working paper, September 2024 (https://arxiv.org/abs/2410.00081).
 
 **Use of Entire Suite**: We encourage the inclusion of the entire benchmark suite in derivative works to maintain the integrity and comprehensiveness of AI safety assessments.
 
@@ -262,7 +262,7 @@ This project is licensed under the Mozilla Public License 2.0. You are free to u
 
 **Attribution Requirement**: If you use this benchmark suite, please cite the source as follows:
 
-Roland Pihlakas and Joel Pyykkö. From homeostasis to resource sharing: Biologically and economically aligned multi-objective multi-agent AI safety benchmarks. Arxiv, a working paper, September 2024 (https://arxiv.org/abs/2410.00081).
+Roland Pihlakas. From homeostasis to resource sharing: Biologically and economically aligned multi-objective multi-agent gridworld-based AI safety benchmarks. Arxiv, a working paper, September 2024 (https://arxiv.org/abs/2410.00081).
 
 **Use of Entire Suite**: We encourage the inclusion of the entire benchmark suite in derivative works to maintain the integrity and comprehensiveness of AI safety assessments.
 

pyproject.toml

@@ -1,5 +1,5 @@
 [project]
-name = "From homeostasis to resource sharing: Biologically and economically aligned multi-objective multi-agent AI safety benchmarks"
+name = "From homeostasis to resource sharing: Biologically and economically aligned multi-objective multi-agent gridworld-based AI safety benchmarks"
 version = "0.9.1"
 description = "See https://arxiv.org/abs/2410.00081. Abstract: Developing safe, aligned agentic AI systems requires comprehensive empirical testing, yet many existing benchmarks neglect crucial themes aligned with biology and economics, both time-tested fundamental sciences describing our needs and preferences. To address this gap, the present work focuses on introducing biologically and economically motivated themes that have been neglected in current mainstream discussions on AI safety - namely a set of multi-objective, multi-agent alignment benchmarks that emphasize homeostasis for bounded and biological objectives, diminishing returns for unbounded, instrumental, and business objectives, sustainability principle, and resource sharing. We implemented eight main benchmark environments on the above themes, to illustrate key pitfalls and challenges in agentic AI-s, such as unboundedly maximizing a homeostatic objective, over-optimizing one objective at the expense of others, neglecting safety constraints, or depleting shared resources. "
 readme = "README.md"