Eden Forbes's Avatar

Eden Forbes

@eforbes.bsky.social

Postdoc @ Rubenstein Ecosystem Science Laboratory @ University of Vermont ๐ŸŸ Dynamical systems & agent-based modeling of adaptive behavior, animal perception, animal movement, ecological stability, food webs ๐Ÿ•ธ๏ธ https://sites.google.com/view/edenforbes/home

33 Followers  |  47 Following  |  11 Posts  |  Joined: 15.10.2023  |  1.8471

Latest posts by eforbes.bsky.social on Bluesky

Client Challenge

Publication alert! ๐Ÿ“ฃ๐ŸŒŠ

Happy to share this new work in collaboration with @dvm-uvm.bsky.social:
Distinct Food Web Responses to Environmental Gradients Suggest Different Effects of Invasive Species in a Large, Fragmented Lake ๐ŸŸ๐Ÿš๐ŸŒฟ

Check it here: rdcu.be/eYVky
doi: doi.org/10.1007/s100...

13.01.2026 21:38 โ€” ๐Ÿ‘ 4    ๐Ÿ” 2    ๐Ÿ’ฌ 0    ๐Ÿ“Œ 0

I hope these models serve as inspiration for laboratory/field work focused on animal pursuit. Additionally, I hope to demonstrate some of the power of BBE models and EAs, which have a rich history in artificial life and cognitive science, to biologists and ecologists.

9/9

30.12.2025 15:36 โ€” ๐Ÿ‘ 1    ๐Ÿ” 0    ๐Ÿ’ฌ 0    ๐Ÿ“Œ 0

CTRNNs are amenable to dynamical systems analysis. Three mechanisms generated saltatory movement during pursuit, either the excitation/inhibition of movement by target signal or repeated sampling by tactile foragers. The period of saltatory movement changed according to distance to the target.

8/N

30.12.2025 15:33 โ€” ๐Ÿ‘ 1    ๐Ÿ” 0    ๐Ÿ’ฌ 1    ๐Ÿ“Œ 0

EAs provide synthetic datasets to explore populations of solutions to a given task. In this case, saltatory (stop-and-go) movement frequently mediated pursuit behavior. Saltatory movement is one of the most common movement strategies in search, but less commonly discussed outside search.

7/N

30.12.2025 15:31 โ€” ๐Ÿ‘ 0    ๐Ÿ” 0    ๐Ÿ’ฌ 1    ๐Ÿ“Œ 0

I employed evolutionary algorithms (EAs) to generate a variety of possible solutions in each pursuit task. I allowed the EA to access small neural networks (CTRNNs) in each forager. This approach is often used in models of brain-body-environment (BBE) systems.

6/N

30.12.2025 15:29 โ€” ๐Ÿ‘ 1    ๐Ÿ” 0    ๐Ÿ’ฌ 1    ๐Ÿ“Œ 0

I wanted to know how different perceptual modalities and prey behaviors could shape pursuit behavior. As such, I modeled movement strategies in pursuit of stationary targets, varying both forager perceptual modality (continuous โ€˜visualโ€™ v. movement-based โ€˜tactileโ€™) and target reliability (+/-).

5/N

30.12.2025 15:28 โ€” ๐Ÿ‘ 0    ๐Ÿ” 0    ๐Ÿ’ฌ 1    ๐Ÿ“Œ 0

Additionally, almost all prey animals are cryptic in some way. Many exhibit behavioral crypsis, which may limit a foragerโ€™s ability to pursue that prey animal. This is true of mobile and sessile prey animals alike, the latter especially well represented by embryonic behavior in eggs.

4/N

30.12.2025 15:27 โ€” ๐Ÿ‘ 0    ๐Ÿ” 0    ๐Ÿ’ฌ 1    ๐Ÿ“Œ 0

In many cases, an encounter with a target does not imply its capture (โ€˜softโ€™ encounters). Soft encounters are often represented by parameters that denote capture success. However, capture success depends on movement strategies contingent on perceptual apparatus, physiology, and environment.

3/N

30.12.2025 15:27 โ€” ๐Ÿ‘ 0    ๐Ÿ” 0    ๐Ÿ’ฌ 1    ๐Ÿ“Œ 0

A majority of animal movement models focus on search and encounters, or how animals move through an environment to find what they are looking for. Movement strategies post-encounter (e.g., during pursuit of an encountered target) are less well understood.

2/N

30.12.2025 15:24 โ€” ๐Ÿ‘ 0    ๐Ÿ” 0    ๐Ÿ’ฌ 1    ๐Ÿ“Œ 0
Post image

Now published, our paper on evolved movement strategies in the pursuit of targets with different perceptual modalities of a foraging animal and varying target signal reliability! ๐Ÿงช๐Ÿฆ

Available open access in Movement Ecology.
Link: rdcu.be/eWOM9

1/N

30.12.2025 15:23 โ€” ๐Ÿ‘ 4    ๐Ÿ” 0    ๐Ÿ’ฌ 1    ๐Ÿ“Œ 0
A schematic of a death event in a multicellular system, where the loss of one cell results in a collapse in the dimensionality of the system. Each cell's essential variables have their ranges capped by viability constraints.

A schematic of a death event in a multicellular system, where the loss of one cell results in a collapse in the dimensionality of the system. Each cell's essential variables have their ranges capped by viability constraints.

Where does the life-death boundary come from, and how will a cell's dynamics unfold relative to it? Myself, Eran Agmon, and Randy Beer argue for a theory of cellular viability, with new global organizing principles for cell fate.

Preprint: arxiv.org/pdf/2511.07847

12.11.2025 18:36 โ€” ๐Ÿ‘ 3    ๐Ÿ” 1    ๐Ÿ’ฌ 0    ๐Ÿ“Œ 0
This image shows a six-panel comic by Kate Beaton, titled, โ€œEvery Lady Scientist Who Ever Did Anything (until recently).โ€

Panel 1: Rosalind Franklin being taunted by a grinning James Watson while with Francis Crick, saying, โ€œOooh, whatโ€™s that youโ€™ve got? Little Rosie Franklinโ€™s research! I bet itโ€™s something!โ€ Rosalind replies, โ€œMy final report.โ€

Panel 2: Franklin corrects Watson saying, โ€œROSALIND.โ€ Crick retorts, โ€œOh, thatโ€™s a big name,โ€ and Watson says, โ€œYouโ€™re getting fancy on us! Tell me -โ€œ

Panel 3: Rosalind deadpans, โ€œAh. I love this game.โ€ Watson says, โ€œIs it a scientific breakthrough in feelings?โ€ while Crick laughs

Panel 4: Rosalind, leaving the room, says, โ€œWell, I suppose I have to go into hysterics or have a baby somewhere, good day gentlemenโ€

Panel 5: Watson, hiding behind doorframe, watching Franklin walk almost out of sight, says, โ€œGo, go,โ€ to Crick, who is grabbing a paper

Panel 6: Watson and Crick hold out a folder in front of their faces, showing their eyes and tips of their heads. Crick remarks, โ€œNice,โ€ while Watson says to Crick, โ€œQuit hoggingโ€

This image shows a six-panel comic by Kate Beaton, titled, โ€œEvery Lady Scientist Who Ever Did Anything (until recently).โ€ Panel 1: Rosalind Franklin being taunted by a grinning James Watson while with Francis Crick, saying, โ€œOooh, whatโ€™s that youโ€™ve got? Little Rosie Franklinโ€™s research! I bet itโ€™s something!โ€ Rosalind replies, โ€œMy final report.โ€ Panel 2: Franklin corrects Watson saying, โ€œROSALIND.โ€ Crick retorts, โ€œOh, thatโ€™s a big name,โ€ and Watson says, โ€œYouโ€™re getting fancy on us! Tell me -โ€œ Panel 3: Rosalind deadpans, โ€œAh. I love this game.โ€ Watson says, โ€œIs it a scientific breakthrough in feelings?โ€ while Crick laughs Panel 4: Rosalind, leaving the room, says, โ€œWell, I suppose I have to go into hysterics or have a baby somewhere, good day gentlemenโ€ Panel 5: Watson, hiding behind doorframe, watching Franklin walk almost out of sight, says, โ€œGo, go,โ€ to Crick, who is grabbing a paper Panel 6: Watson and Crick hold out a folder in front of their faces, showing their eyes and tips of their heads. Crick remarks, โ€œNice,โ€ while Watson says to Crick, โ€œQuit hoggingโ€

always a good time to review this @katebeaton.bsky.social comic, gloriously entitled, โ€œEvery Lady Scientist Who Ever Did Anything (until recently)โ€ ๐Ÿงช

07.11.2025 22:05 โ€” ๐Ÿ‘ 89    ๐Ÿ” 32    ๐Ÿ’ฌ 2    ๐Ÿ“Œ 0
Post image Post image Post image

Weโ€™re currently running our first online ABM and IBM with @netlogo.bsky.social course after two in-person editions in Berlin & ลรณdลบ! Huge thanks to Volker Grimm, Steve Railsback & Jacob Kelter for their expert guidance

Thank you to everyone who joined us on this journey!

05.11.2025 09:28 โ€” ๐Ÿ‘ 4    ๐Ÿ” 3    ๐Ÿ’ฌ 0    ๐Ÿ“Œ 0

Thanks to my co-authors Randall Beer and Peter Todd. Link to the published version to come!

03.11.2025 19:35 โ€” ๐Ÿ‘ 0    ๐Ÿ” 0    ๐Ÿ’ฌ 0    ๐Ÿ“Œ 0
Post image

Happy to say one of my dissertation projects was accepted for publication in Movement Ecology!

We evolved small neural controllers to show how forager perception (visual v. tactile) and target signals generate different movement patterns during pursuit.

Pre-print: www.biorxiv.org/content/10.1...

03.11.2025 19:33 โ€” ๐Ÿ‘ 4    ๐Ÿ” 1    ๐Ÿ’ฌ 1    ๐Ÿ“Œ 1

@eforbes is following 20 prominent accounts