A communication algorithm for teamwork in multi-agent environments
Journal of Applied Non-Classical Logics 19 (4):431-461 (2009)
Abstract
Using a knowledge-based approach, we derive a protocol, MACOM1, for the sequence transmission problem from one agent to a group of agents. The protocol is correct for communication media where deletion and reordering errors may occur. Furthermore, it is shown that after k rounds the agents in the group attain depth k general knowledge about the members of the group and the values of the messages. Then, we adjust this algorithm for multi-agent communication for the process of teamwork. MACOM1 solves the sequence transmission problem from one agent to a group of agents, but does not fully comply with the type of dialogue communication needed for teamwork. The number of messages being communicated per communication between the initiator and the other agents from the group can differ. Furthermore, the teamwork process can require the communication algorithm to handle changes of initiator. We show the adjustments that have to be made to MACOM1 to handle these properties of teamwork. For the new multi-agent communication algorithm, MACOM2, it is shown that the gaining of knowledge required for a successful teamwork process is still guaranteed.Author's Profile
DOI
10.3166/jancl.19.431-461
My notes
Similar books and articles
Multi-agent Justification Logic: communication and evidence elimination. [REVIEW]Bryan Renne - 2012 - Synthese 185 (S1):43-82.
Teamwork in theory and in practice.Natalie Gold - 2004 - In Teamwork: Multi- Disciplinary Perspectives. Palgrave-Macmillan.
Identifying prohibition norms in agent societies.Bastin Tony Roy Savarimuthu, Stephen Cranefield, Maryam A. Purvis & Martin K. Purvis - 2013 - Artificial Intelligence and Law 21 (1):1 - 46.
Incremental Knowledge-acquisition for Complex Multi-agent Environments.Angela Finlayson - forthcoming - Philosophy.
Cognitive science meets multi-agent systems: A prolegomenon.Ron Sun - 2001 - Philosophical Psychology 14 (1):5 – 28.
Escape and intervention in multi-agent systems.G. B. Roest & N. B. Szirbik - 2009 - AI and Society 24 (1):25-34.
Teamwork in the operating theatre: cohesion or confusion?Shabnam Undre, Nick Sevdalis, Andrew N. Healey, Sir Ara Darzi & Charles A. Vincent - 2006 - Journal of Evaluation in Clinical Practice 12 (2):182-189.
Establishing conventional communication systems: Is common knowledge necessary?Dale J. Barr - 2004 - Cognitive Science 28 (6):937-962.
Electronic institutions for B2B: dynamic normative environments. [REVIEW]Henrique Lopes Cardoso & Eugénio Oliveira - 2008 - Artificial Intelligence and Law 16 (1):107-128.
Learning with neighbours: Emergence of convention in a society of learning agents.Roland Mühlenbernd - 2011 - Synthese 183 (S1):87-109.
A multi-agent legal recommender system.Lucas Drumond & Rosario Girardi - 2008 - Artificial Intelligence and Law 16 (2):175-207.
Towards a multi-agent system for regulated information exchange in crime investigations.Pieter Dijkstra, Floris Bex, Henry Prakken & Kees Vey Mestdagdeh - 2005 - Artificial Intelligence and Law 13 (1):133-151.
Analytics
Added to PP
2013-12-25
Downloads
50 (#236,452)
6 months
1 (#448,551)
2013-12-25
Downloads
50 (#236,452)
6 months
1 (#448,551)
Historical graph of downloads
Author's Profile
References found in this work
Reasoning About Knowledge.Ronald Fagin, Joseph Y. Halpern, Yoram Moses & Moshe Vardi - 1995 - MIT Press.
Creating collective intention through dialogue.F. Dignum, B. Dunin-Keplicz & R. Verbrugge - 2001 - Logic Journal of the IGPL 9 (2):289-304.
LTL model checking for security protocols.Alessandro Armando, Roberto Carbone & Luca Compagna - 2009 - Journal of Applied Non-Classical Logics 19 (4):403-429.
A formalisation of violation, error recovery, and enforcement in the bit transmission problem.Alessio Lomuscio & Marek Sergot - 2004 - Journal of Applied Logic 2 (1):93-116.