ACM Home Page
Please provide us with feedback. Feedback
A dialogue mechanism for public argumentation using conversation policies
Full text PdfPdf (306 KB)
Source
International Conference on Autonomous Agents archive
Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems - Volume 1 table of contents
Estoril, Portugal
SESSION: Agent reasoning table of contents
Pages 445-452  
Year of Publication: 2008
ISBN:978-0-9817381-0-9
Authors
Yuqing Tang  City University of New York, New York, NY
Simon Parsons  City University of New York, Brooklyn, NY
Sponsors
ACM: Association for Computing Machinery
AAAI : Association for the Advancement of Artifical Intelligence
Publisher
Bibliometrics
Downloads (6 Weeks): 5,   Downloads (12 Months): 46,   Citation Count: 0
Additional Information:

abstract   references   index terms   collaborative colleagues  

Tools and Actions: Review this Article  

ABSTRACT

In this paper, we propose a flexible dialogue mechanism through which a set of agents can establish a coherent set of public beliefs. Flexibility and coherence are achieved by decomposing the dialogue mechanism into two parts, a backbone protocol and a set of conversation policies. The backbone protocol maintains the set of arguments put forward by the agents, and each agent uses a preagreed argumentation theory to extract the set of public beliefs from the context. The flexibility is achieved by distributing the other functions of the dialogue mechanism among a set of conversation policies, some of which are public and some of which are private to each agent.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
L. Amgoud. A formal framework for handling conflicting desires. In Proceedings of the 7th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2003.
 
2
 
3
 
4
 
5
ASPIC. D1.1 - review on argumentation technology: State of the art, technical and user requirements. Technical report, ASPIC, ASPIC, 2004.
 
6
 
7
 
8
B. Bonet and H. Geffner. Arguing for decisions: A qualitative model of decision making. In Proceedings of the 12th Annual Conference on Uncertainty in Artificial Intelligence, 1996.
 
9
C. Cayrol and M.-C. Lagasquie-Schiex. Graduality in argumentation. In Journal of Artificial Intelligence Research, volume 23, pages 245--297. 2005.
10
 
11
 
12
 
13
 
14
 
15
H. Jakobovits and D. Vermeir. Robust semantics for argumentation frameworks. Journal of Logic and Computation, 9(2):215--261, 1999.
 
16
 
17
P. Krause, S. Ambler, M. Elvang-Gøransson, and J. Fox. A logic of argumentation for reasoning under uncertainty. Computational Intelligence, 11:113--131, 1995.
 
18
 
19
P. McBurney and S. Parsons. Dialogue game protocols. In M.-P. Huget, editor, Communication in Multiagent Systems, volume 2650 of Lecture Notes in Computer Science, pages 269--283. Springer, 2003.
20
 
21
 
22
 
23
 
24
I. Rahwan, P. Moraitis, and C. Reed, editors. Argumentation in Multi-Agent Systems, volume 3366 of Lecture Notes in Computer Science. Springer, 2005.
 
25
 
26
27
 
28
B. Verheij. Rules, Reasons, Arguments. Formal studies of argumentation and defeat. PhD thesis, University of Maastricht, 1996.
 
29
G. Vreeswijk. The feasibility of defeat in defeasible reasoning. In Proceedings of the Second International Conference on the Principles of Knowledge Representation and Reasoning, 1991.
 
30
D. N. Walton and E. C. W. Krabbe. Commitment in Dialogue: Basic Concepts of Interpersonal Reasoning. State University of New York Press, Albany, NY, USA, 1995.
 
31

Collaborative Colleagues:
Yuqing Tang: colleagues
Simon Parsons: colleagues