We review the agent-based models (ABM) on social physics including econophysics. The ABM consists of agent, system space, and external environment. The agent is autonomous and decides his/her behavior by interacting with the neighbors or the external...
In this paper, we contribute a multi-faceted study into Pavlovian signalling -- a process by which learned, temporally extended predictions made by one agent inform decision-making by another agent. Signalling is intimately connected to time and timi...
The current evolution of artificial intelligence introduces a paradigm shift toward agentic AI built upon multi-agent systems (MAS). Agent communications serve as a key to effective agent interactions in MAS and thus have a significant impact on the...
To act as an agent or representative for: Who will agent your next book? To act as an agent or representative. [Middle English, from Latin agēns, agent-, present participle of agere, to do; see ag- …
To act as an agent or representative for: Who will agent your next book? To act as an agent or representative. [Middle English, from Latin agēns, agent-, present participle of agere, to do; see ag- …
A data curator would like to collect data from privacy-aware agents. The collected data will be used for the benefit of all agents. Can the curator incentivize the agents to share their data truthfully? Can he guarantee that truthful sharing will be...
Jan 1, 2011 · Featured Topics MuleSoft AI Get Started with Agent Fabric Get Started with Agent Networks Importing Agentforce Agents Adding a Flex Gateway Agent or Tool Instance Agent …
Feb 21, 2025 · I trying to use the openssh ssh agent systemd user service on Ubuntu 24.04. Starting from Ubuntu 16.10 and onwards, the openssh-client package contains a ssh-agent.service user …
Research and development (R&D) is crucial for the enhancement of industrial productivity, especially in the AI era, where the core aspects of R&D are mainly focused on data and models. We are committed to automating these high-value generic R&D processes through R&D-Agent, which…
What are the types of agents in AI? AI agents can be categorized in various ways based on their capabilities, roles, and environments. Here are some key categories of agents: There are...
Continuously updated paper list on advancements in Data Agents. Companion repo to our paper "A Survey of Data Agents: Emerging Paradigm or Overstated Hype?" (⭐ 407)
Multi-agent systems face a fundamental architectural flaw: agent identity is bound to network location. When agents migrate between providers, scale across instances, or federate across organizations, URI-based identity schemes break references, frag...
Econometrics AI Agent: A specialized LLM-driven agent for automating complex econometric analysis with zero-shot learning, outperforming general AI in expert tasks. ? (⭐ 308)
As LLM-based agents exhibit exceptional capabilities in addressing complex problems, there is a growing focus on developing coding agents to tackle increasingly sophisticated tasks. Despite their promising performance, these coding agents often produ...
A production-ready FastAPI template for building AI agent applications with LangGraph integration. This template provides a robust foundation for building scalable, secure, and maintainable AI agent services. (⭐ 2018)