Artificial Intelligence and Law 13 (1):133-151 (2005)

This paper outlines a multi-agent architecture for regulated information exchange of crime investigation data between police forces. Interactions between police officers about information exchange are analysed as negotiation dialogues with embedded persuasion dialogues. An architecture is then proposed consisting of two agents, a requesting agent and a responding agent, and a communication language and protocol with which these agents can interact to promote optimal information exchange while respecting the law. Finally, dialogue policies are defined for the individual agents, specifying their behaviour within a negotiation. Essentially, when deciding to accept or reject an offer or to make a counteroffer, an agent first determines whether it is obligatory or permitted to perform the actions specified in the offer. If permitted but not obligatory, the agent next determines whether it is in his interest to accept the offer.
Keywords No keywords specified (fix it)
Categories (categorize this paper)
DOI 10.1007/s10506-006-9005-1
Edit this record
Mark as duplicate
Export citation
Find it on Scholar
Request removal from index
Revision history

Download options

PhilArchive copy

Upload a copy of this paper     Check publisher's policy     Papers currently archived: 51,447
External links

Setup an account with your affiliations in order to access resources via your University's proxy server
Configure custom proxy (use this if your affiliation does not provide a proxy)
Through your library

References found in this work BETA

Add more references

Citations of this work BETA

No citations found.

Add more citations

Similar books and articles

A Multi-Agent Legal Recommender System.Lucas Drumond & Rosario Girardi - 2008 - Artificial Intelligence and Law 16 (2):175-207.
Dynamics of Control.Jeff Sanders & Matteo Turilli - 2007 - First Joint IEEE/IFIP Symposium on Theoretical Aspects of Software Engineering (TASE '07):440-449.


Added to PP index

Total views
24 ( #407,969 of 2,330,352 )

Recent downloads (6 months)
1 ( #584,494 of 2,330,352 )

How can I increase my downloads?


My notes