To increase prediction accuracy, novel learning algorithms are required in which agents collaborate to classify new examples while maintaining the privacy of ...
[PDF] Classification of Examples by Multiple Agents with Private Features
www.cs.cmu.edu › modi-iat05
In many multiagent domains where classification tasks arise, agents have private features they are not willing to re- veal to other agents or humans. In this ...
We consider classification tasks where relevant features are distributed among a set of agents and cannot be centralized, for example due to privacy ...
Bibliographic details on Classification of Examples by Multiple Agents with Private Features.
May 1, 2024 · LangGraph is well-suited for creating multi-agent workflows because it allows two or more agents to be connected as a graph.
This study examines a mechanism design problem where the principal can affect the agents' knowledge of a payoff-relevant state.
Nov 19, 2023 · AI agents can be categorized into various types according to their attributes, including their reactivity or proactivity, the nature of their environment.
2 days ago · Explore different types of AI agents, their benefits, examples, use cases, and limitations in this guide. | ProjectPro.
In systems modeling, multi-agent approach is used to simulate the behavior of a complex model. For example, multi-agent approach has been successfully used to ...
Feb 26, 2024 · Agents can be categorized into five types: Simple Reflex agents, Model-based Reflex agents, Goal-based agents, Utility-based agents, and ...