Chimaera Modelling – when the modellers must reconcile inconsistent elements or purposes

Edmonds, B., Hofstede, G. J., Koch, J., le Page, C., Lim, T., Lippe, M., Nöldeke, B., & van Delden, H.

Socio-Environmental Systems Modelling, 6, 18593.

Socio-Ecological System modelling projects are becoming increasingly complicated, with multiple actors and aspects being the norm. Such projects can cause problems for the modellers when this involves different elements, goals, philosophies, etc., all pulling in different directions – we call this “Chimaera Modelling.” Although such situations are common when you talk to modellers, they do not seem to be explicitly discussed in the literature. In this paper, we attempt to turn this perceived “inside” phenomenon into an “outside” phenomenon and to start a debate to increase transparency among the modelling community. We discuss the different aspects which may be relevant to this problem to start this debate, including: the underlying philosophy, modelling goals, extent of choice the modellers have, different stages of modelling, and kinds of actors that are involved. We further map out some of the dimensions with which Chimaera Modelling connects. We briefly discuss these and propose to the community as a whole to work on their methodological development, feasibility, risks and applicability as their resolution is far beyond the scope of this paper. We end with a brief description of the broad possible approaches to such situations. Our main message is a call for recognition of Chimaera Modelling as a likely side-effect of multi-stakeholder, multi-purpose projects, and to take this into account proactively at the project team level and be transparent about the tensions and contradictions that underly such modelling.

Read the full article at: sesmo.org

Amsterdam Complexity School on Climate Change

Eager to tackle challenges related to climate change? Then apply for the Amsterdam Complexity School on Climate Change (ACSCC), which brings together early career researchers from all disciplines and non-academic stakeholders to work on projects related to climate change. The school also offers a diverse program with talks by world-renowned scientists, former members of parliament, corporate sustainability leaders, journalists, activists, and artists. ACSCC will take place at the Institute for Advanced Study from April 28 to May 2, 2025. The deadline for applications is January 26 via the ACSCC website.

Conference on Complex Systems 2025, Siena, Italy, August 29-September 5

The CCS is the flagship annual meeting for the complex systems research community, operating within the framework of the Complex Systems Society. This special 21st anniversary conference is organized within the University of Siena (Siena, Italy), in the magnificent Unesco Heritage City of Siena. Previous editions took place in London/Exeter 2024, Salvador de Bahia 2023, Palma de Mallorca 2022,Lyon 2021, Online 2020, Singapore 2019, Thessaloniki 2018 and Cancun 2017.

More at: www.congressi.unisi.it

Automating the Search for Artificial Life with Foundation Models

AKARSH KUMAR, CHRIS LU, LOUIS KIRSCH, YUJIN TANG, KENNETH STANLEY, PHILLIP ISOLA, DAVID HA

With the recent Nobel Prize awarded for radical advances in protein discovery, foundation models (FMs) for exploring large combinatorial spaces promise to revolutionize many scientific fields. Artificial Life (ALife) has not yet integrated FMs, thus presenting a major opportunity for the field to alleviate the historical burden of relying chiefly on manual design and trial-and-error to discover the configurations of lifelike simulations. This paper presents, for the first time, a successful realization of this opportunity using vision-language FMs. The proposed approach, called Automated Search for Artificial Life (ASAL), (1) finds simulations that produce target phenomena, (2) discovers simulations that generate temporally open-ended novelty, and (3) illuminates an entire space of interestingly diverse simulations. Because of the generality of FMs, ASAL works effectively across a diverse range of ALife substrates including Boids, Particle Life, Game of Life, Lenia, and Neural Cellular Automata. A major result highlighting the potential of this technique is the discovery of previously unseen Lenia and Boids lifeforms, as well as cellular automata that are open-ended like Conway’s Game of Life. Additionally, the use of FMs allows for the quantification of previously qualitative phenomena in a human-aligned way. This new paradigm promises to accelerate ALife research beyond what is possible through human ingenuity alone.

Read the full article at:sakana.ai

Human-AI coevolution

Dino Pedreschi, Luca Pappalardo, Emanuele Ferragina, Ricardo Baeza-Yates, Albert-László Barabási, Frank Dignum, Virginia Dignum, Tina Eliassi-Rad, Fosca Giannotti, János Kertész, Alistair Knott, Yannis Ioannidis, Paul Lukowicz, Andrea Passarella, Alex Sandy Pentland, John Shawe-Taylor, Alessandro Vespignani

Artificial Intelligence Volume 339, February 2025, 104244

Read the full article at: www.sciencedirect.com