Designing a virtual agent architecture that comprises collaboration between the agents and human users remains a challenging issue due to differences in beliefs, ways of reasoning and the abilities used to achieve the common goal. Allowing the agent and human to communicate verbally and non-verbally while achieving the collaborative task, further increases the difficulty of the challenge. In this paper, we present an overview of existing research involving collaborative agents in virtual environments and extend our Multi-Agent Collaborative VIrtuaL Learning Environment (MACVILLE) agent architecture to handle two-way human-agent collaboration. A scenario is provided.
%0 Book Section
%1 HannaRichards13p70
%A Hanna, Nader
%A Richards, Deborah
%B Cognitive Agents for Virtual Environments
%C Berlin
%D 2013
%E Dignum, Frank
%E Brom, Cyril
%E Hindriks, Koen
%E Beer, Martin
%E Richards, Deborah
%I Springer
%K 01624 springer paper ai user interface agent interaction dialog architecture middleware learn
%N 7764
%P 70--88
%R 10.1007/978-3-642-36444-0_5
%T A Collaborative Agent Architecture with Human-Agent Communication Model
%X Designing a virtual agent architecture that comprises collaboration between the agents and human users remains a challenging issue due to differences in beliefs, ways of reasoning and the abilities used to achieve the common goal. Allowing the agent and human to communicate verbally and non-verbally while achieving the collaborative task, further increases the difficulty of the challenge. In this paper, we present an overview of existing research involving collaborative agents in virtual environments and extend our Multi-Agent Collaborative VIrtuaL Learning Environment (MACVILLE) agent architecture to handle two-way human-agent collaboration. A scenario is provided.
@incollection{HannaRichards13p70,
abstract = {Designing a virtual agent architecture that comprises collaboration between the agents and human users remains a challenging issue due to differences in beliefs, ways of reasoning and the abilities used to achieve the common goal. Allowing the agent and human to communicate verbally and non-verbally while achieving the collaborative task, further increases the difficulty of the challenge. In this paper, we present an overview of existing research involving collaborative agents in virtual environments and extend our Multi-Agent Collaborative {VIrtuaL} Learning Environment (MACVILLE) agent architecture to handle two-way human-agent collaboration. A scenario is provided.},
added-at = {2017-04-01T21:39:49.000+0200},
address = {Berlin},
author = {Hanna, Nader and Richards, Deborah},
biburl = {https://www.bibsonomy.org/bibtex/22bf23db7a43214a7ef8caac33dc29009/flint63},
booktitle = {Cognitive Agents for Virtual Environments},
crossref = {DignumBromEtAl2013},
doi = {10.1007/978-3-642-36444-0_5},
editor = {Dignum, Frank and Brom, Cyril and Hindriks, Koen and Beer, Martin and Richards, Deborah},
file = {SpringerLink:2013/HannaRichards13p70.pdf:PDF},
groups = {public},
interhash = {64a59ee11fc5481b3c9826b7b185b334},
intrahash = {2bf23db7a43214a7ef8caac33dc29009},
keywords = {01624 springer paper ai user interface agent interaction dialog architecture middleware learn},
number = 7764,
pages = {70--88},
publisher = {Springer},
series = {Lecture Notes in Artificial Intelligence},
timestamp = {2017-07-13T17:38:47.000+0200},
title = {A Collaborative Agent Architecture with Human-Agent Communication Model},
username = {flint63},
year = 2013
}