We study collective helping behavior and bystander effects in a coevolving helping network model. A node and a link of the network represents an agent who renders or receives help and a friendly relation between agents, respectively. A helping trial...
Clandestine HUMINT asset recruiting, also known as agent cultivation, refers to the recruitment of human agents, commonly known as spies, who work for
A seed treatment is a treatment of the seed with either chemical agents or biological or by physical methods, usually done to provide protection to the
Deep learning has been widely used in the perception (e.g., 3D object detection) of intelligent vehicle driving. Due to the beneficial Vehicle-to-Vehicle (V2V) communication, the deep learning based features from other agents can be shared to the ego...
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We present a simple game which mimics the complex dynamics found in most natural and social systems. Intelligent players modify their strategies periodically, depending on their performances. We propose that the agents use hybridized one-point gene...
https://x.com/YourAnonCentral/status/2016665863051702312?t=6P0tdGHGC6V6p_U8HtipwA&s=19...
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Progress ® Agentic RAG platform is a high-value SaaS solution that automatically indexes files and documents to fuel diverse use cases with LLMs and AI Agents, ensuring high-quality outputs through …
Human-robot teaming offers great potential because of the opportunities to combine strengths of heterogeneous agents. However, one of the critical challenges in realizing an effective human-robot team is efficient information exchange - both from the...
\> The records viewed by ProPublica list Ochoa, 43, and Gutierrez, 35, as the shooters during the deadly encounter last weekend that left Pretti dead and ignited massive protests and calls for crim...
In classic reinforcement learning algorithms, agents make decisions at discrete and fixed time intervals. The duration between decisions becomes a crucial hyperparameter, as setting it too short may increase the problem's difficulty by requiring the...
We investigate the design of mechanisms to incentivize high quality in crowdsourcing environments with strategic agents, when entry is an endogenous, strategic choice. Modeling endogenous entry in crowdsourcing is important because there is a nonzero...
The SWE-Bench Verified leaderboard is approaching saturation, with the top system achieving 78.80%. However, we show that this performance is inflated. Our re-evaluation reveals that one in five "solved" patches from the top-30 agents are semanticall...
The connection between contradictory public opinions, heterogeneous believes and the emergence of democratic or dictatorial extremism is studied extending our former two state dynamic opinion model. Agents are attached to a social-cultural class. A...
Problem: This paper addresses the design of an intelligent software system for the IC (incident commander) of a team in order to coordinate actions of agents (field units or robots) in the domain of emergency/crisis response operations. Objective: Th...
We’re driven to be the premier underwriter for agents. We’re moving full speed ahead to create a better experience for you and your customers. Watch our video to learn more about what having Stewart as …
Reinforcement learning project with a track environment (rendered with matplotlib) for simulated cars. Implementation of different RL agents (Q-learning, SARSA, DDPG) using keras-rl. (⭐ 2)
# AI Weekly Rundown From October 06th to October 12th, 2025: https://preview.redd.it/7t45ryklvkuf1.png?width=3000&format=png&auto=webp&s=5f50b4a60b2104c2e440bfc3d280ba27f1860901 ? I...
# AI Weekly Rundown From October 06th to October 12th, 2025: https://preview.redd.it/jj9y86m7xkuf1.png?width=1080&format=png&auto=webp&s=246ff9136b5b4ba87a3ca543c2f82e2fb900f8eb # Listen...