This paper focuses on a dynamic aspect of responsible autonomy, namely, to make intelligent agents be responsible at run time. That is, it considers settings where decision making by agents impinges upon the outcomes perceived by other agents. For an...
While we would like agents that can coordinate with humans, current algorithms such as self-play and population-based training create agents that can coordinate with themselves. Agents that assume their partner to be optimal or similar to them can co...
NFL.com provides a team-by-team breakdown of all the notable NFL players who have already been released/traded since the start of the 2026 offseason or will become free agents when the new league year begins in March.
"Good Morning Football" highlights which NFL free agents they find to be most worthy of a new destination this offseason.
Gregg Rosenthal's ranking of the top 101 free agents of 2026 has arrived! Who are the best available players in this year's class? Which positions appear deepest on the veteran market?
Hypothesis: Although wetting agents have been developed to limit tear film dewetting over contact lenses, systematic analyses correlating wetting agents properties to mechanisms of the tear film destabilization are not readily available. Clarifying...
Although peer prediction markets are widely used in crowdsourcing to aggregate information from agents, they often fail to reward the participating agents equitably. Honest agents can be wrongly penalized if randomly paired with dishonest ones. In th...
A frequent pattern in customer care conversations is the agents responding with appropriate webpage URLs that address users' needs. We study the task of predicting the documents that customer care agents can use to facilitate users' needs. We also in...
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Agent based simulation of social organizations, via the investigation of agents' training and learning tactics and strategies, has been inspired by the ability of humans to learn from social environments which are rich in agents, interactions and par...
This paper presents a new approach to solving N-queen problems, which involves a model of distributed autonomous agents with artificial life (ALife) and a method of representing N-queen constraints in an agent environment. The distributed agents lo...
The rapid evolution of Large Language Model (LLM)-based autonomous agents is reshaping the digital landscape toward an emerging Agentic Web, where increasingly specialized agents must collaborate to accomplish complex tasks. However, existing collabo...
We study a decentralized version of Moving Agents in Formation (MAiF), a variant of Multi-Agent Path Finding aiming to plan collision-free paths for multiple agents with the dual objectives of reaching their goals quickly while maintaining a desired...
mobile device, e.g. Siri. Software agents may be autonomous or work together with other agents or people. Software agents interacting with people (e.g. chatbots
Nov 19, 2024 · As part of agents in Microsoft 365, we’re excited to announce the general availability of agents built in SharePoint today, enabling users to turn SharePoint sites and documents into scoped …
Nov 19, 2024 · As part of agents in Microsoft 365, weâre excited to announce the general availability of agents built in SharePoint today, enabling users to turn SharePoint sites and documents into scoped â¦
Driven by the rapid development of Large Language Models (LLMs), LLM-based agents have been developed to handle various real-world applications, including finance, healthcare, and shopping, etc. It is crucial to ensure the reliability and security of...
Recent advances in Vision-Language Models (VLMs) have propelled embodied agents by enabling direct perception, reasoning, and planning task-oriented actions from visual inputs. However, such vision-driven embodied agents open a new attack surface: vi...
2 days ago · With this new capability, teams can assign work to Atlassian Rovo and third-party agents in Jira, iterate with agents in comments, and embed them directly into their workflows.
21 hours ago · Atlassian has launched an open beta of agents in Jira, allowing teams to assign work to AI agents, collaborate through comments, and embed them into workflows. The company is also …