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Generalized commitment alignment

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Generalized commitment alignment. / Chopra, Amit K.; Singh, Munindar P.
Proceedings of the 14th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2015). ed. / Rafael H. Bordini; Edith Elkind; Gerhard Weiss; Pinar Yolum. IFAAMAS, 2015. p. 453-461.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Harvard

Chopra, AK & Singh, MP 2015, Generalized commitment alignment. in RH Bordini, E Elkind, G Weiss & P Yolum (eds), Proceedings of the 14th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2015). IFAAMAS, pp. 453-461. <http://www.aamas2015.com/en/AAMAS_2015_USB/aamas/p453.pdf>

APA

Chopra, A. K., & Singh, M. P. (2015). Generalized commitment alignment. In R. H. Bordini, E. Elkind, G. Weiss, & P. Yolum (Eds.), Proceedings of the 14th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2015) (pp. 453-461). IFAAMAS. http://www.aamas2015.com/en/AAMAS_2015_USB/aamas/p453.pdf

Vancouver

Chopra AK, Singh MP. Generalized commitment alignment. In Bordini RH, Elkind E, Weiss G, Yolum P, editors, Proceedings of the 14th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2015). IFAAMAS. 2015. p. 453-461

Author

Chopra, Amit K. ; Singh, Munindar P. / Generalized commitment alignment. Proceedings of the 14th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2015). editor / Rafael H. Bordini ; Edith Elkind ; Gerhard Weiss ; Pinar Yolum. IFAAMAS, 2015. pp. 453-461

Bibtex

@inproceedings{193e788a77c744888ab100c2c980d38d,
title = "Generalized commitment alignment",
abstract = "The interoperability of interacting components means that their expectations of each other remain in agreement. A commitment captures what one agent (its creditor) may expect from another agent (its debtor). Chopra and Singh (C&S) motivate commitment alignment as a meaning-based form of interoperation and show how to ensure alignment among agents despite asynchrony. Although C&S{\textquoteright}s approach demonstrates the key strengths of relying on commitment semantics, it suffers from key shortcomings, which limit its applicability in practice. One, C&S do not model commitments properly, causing unacceptable interference between commitments in different transactions. Two, they require that the communication infrastructure guarantee first-in first-out (FIFO) delivery of messages for every agent-agent channel. Three, C&S guarantee alignment only in quiescent states (where no messages are in transit); however, such states may never obtain in enactments of real systems. Our approach retains and enhances C&S{\textquoteright}s key strengths and avoids their shortcomings by providing a declarative semantics-based generalized treatment of alignment. Specifically, we (1) motivate a declarative notion of alignment relevant system states termed completeness; (2) prove that it coincides with alignment; and (3) provide the computations by which a system of agents provably progresses toward alignment assuming eventual delivery of messages.",
keywords = "Interoperability , Commitments, Protocols, Transactions",
author = "Chopra, {Amit K.} and Singh, {Munindar P.}",
year = "2015",
month = may,
language = "English",
pages = "453--461",
editor = "Bordini, {Rafael H.} and Edith Elkind and Gerhard Weiss and Pinar Yolum",
booktitle = "Proceedings of the 14th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2015)",
publisher = "IFAAMAS",

}

RIS

TY - GEN

T1 - Generalized commitment alignment

AU - Chopra, Amit K.

AU - Singh, Munindar P.

PY - 2015/5

Y1 - 2015/5

N2 - The interoperability of interacting components means that their expectations of each other remain in agreement. A commitment captures what one agent (its creditor) may expect from another agent (its debtor). Chopra and Singh (C&S) motivate commitment alignment as a meaning-based form of interoperation and show how to ensure alignment among agents despite asynchrony. Although C&S’s approach demonstrates the key strengths of relying on commitment semantics, it suffers from key shortcomings, which limit its applicability in practice. One, C&S do not model commitments properly, causing unacceptable interference between commitments in different transactions. Two, they require that the communication infrastructure guarantee first-in first-out (FIFO) delivery of messages for every agent-agent channel. Three, C&S guarantee alignment only in quiescent states (where no messages are in transit); however, such states may never obtain in enactments of real systems. Our approach retains and enhances C&S’s key strengths and avoids their shortcomings by providing a declarative semantics-based generalized treatment of alignment. Specifically, we (1) motivate a declarative notion of alignment relevant system states termed completeness; (2) prove that it coincides with alignment; and (3) provide the computations by which a system of agents provably progresses toward alignment assuming eventual delivery of messages.

AB - The interoperability of interacting components means that their expectations of each other remain in agreement. A commitment captures what one agent (its creditor) may expect from another agent (its debtor). Chopra and Singh (C&S) motivate commitment alignment as a meaning-based form of interoperation and show how to ensure alignment among agents despite asynchrony. Although C&S’s approach demonstrates the key strengths of relying on commitment semantics, it suffers from key shortcomings, which limit its applicability in practice. One, C&S do not model commitments properly, causing unacceptable interference between commitments in different transactions. Two, they require that the communication infrastructure guarantee first-in first-out (FIFO) delivery of messages for every agent-agent channel. Three, C&S guarantee alignment only in quiescent states (where no messages are in transit); however, such states may never obtain in enactments of real systems. Our approach retains and enhances C&S’s key strengths and avoids their shortcomings by providing a declarative semantics-based generalized treatment of alignment. Specifically, we (1) motivate a declarative notion of alignment relevant system states termed completeness; (2) prove that it coincides with alignment; and (3) provide the computations by which a system of agents provably progresses toward alignment assuming eventual delivery of messages.

KW - Interoperability

KW - Commitments

KW - Protocols

KW - Transactions

M3 - Conference contribution/Paper

SP - 453

EP - 461

BT - Proceedings of the 14th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2015)

A2 - Bordini, Rafael H.

A2 - Elkind, Edith

A2 - Weiss, Gerhard

A2 - Yolum, Pinar

PB - IFAAMAS

ER -