Tootfinder

Beyond the high score: Prosocial ability profiles of multi-agent populations
Marko Tesic, Yue Zhao, Joel Z. Leibo, Rakshit S. Trivedi, Jose Hernandez-Orallo
https://arxiv.org/abs/2509.14485

Beyond the high score: Prosocial ability profiles of multi-agent populations
The development and evaluation of social capabilities in AI agents require complex environments where competitive and cooperative behaviours naturally emerge. While game-theoretic properties can explain why certain teams or agent populations outperform others, more abstract behaviours, such as convention following, are harder to control in training and evaluation settings. The Melting Pot contest is a social AI evaluation suite designed to assess the cooperation capabilities of AI systems. In t…

Falls ihr mal unbefriedigte Blockgelüste habt.
Und ja, ich bin hier, weil ich mein Profil NICHT durch "strategic following and content management tools" (vulgo Algorithmus) growen will.

Spirals and Beyond: Competitive Plane Search with Multi-Speed Agents
Konstantinos Georgiou, Caleb Jones, Matthew Madej
https://arxiv.org/abs/2508.10793 https://

Spirals and Beyond: Competitive Plane Search with Multi-Speed Agents
We consider the problem of minimizing the worst-case search time for a hidden point target in the plane using multiple mobile agents of differing speeds, all starting from a common origin. The search time is normalized by the target's distance to the origin, following the standard convention in competitive analysis. The goal is to minimize the maximum such normalized time over all target locations, the search cost. As a base case, we extend the known result for a single unit-speed agent, which …

ProSEA: Problem Solving via Exploration Agents
William Nguyen, Vinh Luong, Christopher Nguyen
https://arxiv.org/abs/2510.07423 https://arxiv.org/pdf/2510.0…

ProSEA: Problem Solving via Exploration Agents
Large language models (LLMs) have empowered AI agents to tackle increasingly complex tasks. However, most existing agents remain limited to static planning and brittle interactions, falling short of true collaboration or adaptive reasoning. We introduce ProSEA, a modular, general-purpose multi-agent framework designed for iterative problem solving through exploration and plan evolution. ProSEA features a hierarchical architecture in which a Manager Agent orchestrates domain-specialized Expert A…

T-araVLN: Translator for Agricultural Robotic Agents on Vision-and-Language Navigation
Xiaobei Zhao, Xingqi Lyu, Xiang Li
https://arxiv.org/abs/2509.06644 https://

T-araVLN: Translator for Agricultural Robotic Agents on Vision-and-Language Navigation
Agricultural robotic agents have been becoming powerful helpers in a wide range of agricultural tasks, nevertheless, still heavily rely on manual operation or untransportable railway for movement. The AgriVLN method and the A2A benchmark pioneeringly extend Vision-and-Language Navigation (VLN) to the agricultural domain, enabling agents navigate to the target position following the natural language instructions. AgriVLN effectively understands the simple instructions, however, often misundersta…

Filing your taxes without paying extra for the privilege is apparently too "woke."
https://news.bloombergtax.com/financial-accounting/irs-chief-says-direct-file-is-gone-other-audit-tech-is-coming

IRS Chief Says Direct File Is ‘Gone,’ Other Audit Tech Is Coming
The Biden-era IRS free filing tool, Direct File, is “gone,” IRS Commissioner Billy Long said.

TL;DR: what if nationalism, not anarchy, is futile?
Since I had the pleasure of seeing the "what would anarchists do against a warlord?" argument again in my timeline, I'll present again my extremely simple proposed solution:
Convince the followers of the warlord that they're better off joining you in freedom, then kill or exile the warlord once they're alone or vastly outnumbered.
Remember that even in our own historical moment where nothing close to large-scale free society has existed in living memory, the warlord's promise of "help me oppress others and you'll be richly rewarded" is a lie that many understand is historically a bad bet. Many, many people currently take that bet, for a variety of reasons, and they're enough to coerce through fear an even larger number of others. But although we imagine, just as the medieval peasants might have imagined of monarchy, that such a structure is both the natural order of things and much too strong to possibly fail, in reality it takes an enormous amount of energy, coordination, and luck for these structures to persist! Nations crumble every day, and none has survived more than a couple *hundred* years, compared to pre-nation societies which persisted for *tends of thousands of years* if not more. I'm this bubbling froth of hierarchies, the notion that hierarchy is inevitable is certainly popular, but since there's clearly a bit of an ulterior motive to make (and teach) that claim, I'm not sure we should trust it.
So what I believe could form the preconditions for future anarchist societies to avoid the "warlord problem" is merely: a widespread common sense belief that letting anyone else have authority over you is morally suspect. Given such a belief, a warlord will have a hard time building any following at all, and their opponents will have an easy time getting their supporters to defect. In fact, we're already partway there, relative to the situation a couple hundred years ago. At that time, someone could claim "you need to obey my orders and fight and die for me because the Queen was my mother" and that was actually a quite successful strategy. Nowadays, this strategy is only still working in a few isolated places, and the idea that one could *start a new monarchy* or even resurrect a defunct one seems absurd. So why can't that same transformation from "this is just how the world works" to "haha, how did anyone ever believe *that*? also happen to nationalism in general? I don't see an obvious reason why not.
Now I think one popular counterargument to this is: if you think non-state societies can win out with these tactics, why didn't they work for American tribes in the face of the European colonizers? (Or insert your favorite example of colonialism here.) I think I can imagine a variety of reasons, from the fact that many of those societies didn't try this tactic (and/or were hierarchical themselves), to the impacts of disease weakening those societies pre-contact, to the fact that with much-greater communication and education possibilities it might work better now, to the fact that most of those tribes are *still* around, and a future in which they persist longer than the colonist ideologies actually seems likely to me, despite the fact that so much cultural destruction has taken place. In fact, if the modern day descendants of the colonized tribes sow the seeds of a future society free of colonialism, that's the ultimate demonstration of the futility of hierarchical domination (I just read "Theory of Water" by Leanne Betasamosake Simpson).
I guess the TL;DR on this is: what if nationalism is actually as futile as monarchy, and we're just unfortunately living in the brief period during which it is ascendant?

Apache Flink is uniquely positioned to serve as the backbone for AI agents, equipping them with the powerful new tool of stream processing. At Berlin Buzzword 2025, Steffen Hoellinger discussed how Flink jobs can be transformed into “Agents”—autonomous, goal-driven entities that dynamically interact with data streams, trigger actions, and adapt their behaviour based on real-time insights.
Watch the full session: #bbuzz returns on 7-9 June 2026: https://tickets.plainschwarz.com/bbuzz26/c/8Hvk0ZvJA/

MPC strategies for density profile control with pellet fueling in nuclear fusion tokamaks under uncertainty
Christopher A. Orrico, Hari Prasad Varadarajan, Matthijs van Berkel, Lennard Ceelen, Thomas O. S. J. Bosman, W. P. M. H. Heemels, Dinesh Krishnamoorthy
https://arxiv.org/abs/2510.04784

MPC strategies for density profile control with pellet fueling in nuclear fusion tokamaks under uncertainty
Control of the density profile based on pellet fueling for the ITER nuclear fusion tokamak involves a multi-rate nonlinear system with safety-critical constraints, input delays, and discrete actuators with parametric uncertainty. To address this challenging problem, we propose a multi-stage MPC (msMPC) approach to handle uncertainty in the presence of mixed-integer inputs. While the scenario tree of msMPC accounts for uncertainty, it also adds complexity to an already computationally intensive …

NewtonBench: Benchmarking Generalizable Scientific Law Discovery in LLM Agents
Tianshi Zheng, Kelvin Kiu-Wai Tam, Newt Hue-Nam K. Nguyen, Baixuan Xu, Zhaowei Wang, Jiayang Cheng, Hong Ting Tsang, Weiqi Wang, Jiaxin Bai, Tianqing Fang, Yangqiu Song, Ginny Y. Wong, Simon See
https://arxiv.org/abs/2510.07172

NewtonBench: Benchmarking Generalizable Scientific Law Discovery in LLM Agents
Large language models are emerging as powerful tools for scientific law discovery, a foundational challenge in AI-driven science. However, existing benchmarks for this task suffer from a fundamental methodological trilemma, forcing a trade-off between scientific relevance, scalability, and resistance to memorization. Furthermore, they oversimplify discovery as static function fitting, failing to capture the authentic scientific process of uncovering embedded laws through the interactive explora…