Cobot in LambdaMOO: An Adaptive Social Statistics Agent-Reference-Cited by-同舟云学术

Cobot in LambdaMOO: An Adaptive Social Statistics Agent

Published:2006-05-10 Issue:3 Volume:13 Page:327-354
ISSN:1387-2532
Container-title:Autonomous Agents and Multi-Agent Systems
language:en
Short-container-title:Auton Agent Multi-Agent Syst

Author:

Isbell Charles Lee,Kearns Michael,Singh Satinder,Shelton Christian R.,Stone Peter,Kormann Dave

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence

Link

http://link.springer.com/content/pdf/10.1007/s10458-006-0005-z.pdf

Reference30 articles.

1. Barbuceanu, M., Fox, M.S. (1995). The architecture of an agent building shell. In M. Wooldridge, J. P. Mueller & M. Tambe (Eds), Intelligent agents II: Agent theories, architectures and languages, Vol. 1037 of Lecture Notes in Artificial Intelligence (pp. 235–250). Springer Verlag.

2. Bates J. (1994). The role of emotion in believable agents. Communications of the ACM 37(7): 122–125.

3. Brooks R.A. (1986). A robust layered control system for a mobile robot. IEEE Journal of robotics and automation 1(1): 14–23.

4. Brooks R.A. (1991). Intelligence without representation. Artificial Intelligence 47: 139–159.

5. Cherny L. (1999). Conversation and Community: Discourse in a Social MUD, CLFI Publications.

Cited by 26 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Socially situated artificial intelligence enables learning from human interaction;Proceedings of the National Academy of Sciences;2022-09-19

2. Interactive Machine Learning on Edge Devices With User-in-the-Loop Sample Recommendation;IEEE Access;2022

3. New Approach in Human-AI Interaction by Reinforcement-Imitation Learning;Applied Sciences;2021-03-30

4. Interactive Reinforcement Learning for Autonomous Behavior Design;Human–Computer Interaction Series;2021

5. Multi-Channel Interactive Reinforcement Learning for Sequential Tasks;Frontiers in Robotics and AI;2020-09-24