The University of Southampton
University of Southampton Institutional Repository

Modal specifications for composition of agent behaviors

Modal specifications for composition of agent behaviors
Modal specifications for composition of agent behaviors

The goal of the behavior composition problem is to build a complex target behavior using several agent behaviors. We propose two extensions to the framework where agent behaviors are modeled by finite transition system and where the composition is done by coordinating the actions of the agents. The first extension is done by making the composition indirect: instead of choosing the actions of the agent, the composition is done by a controller issuing sets of instructions at each step. This allows to model problems where the agents behaviors are not fully controllable. The second extension is the use of modal specifications as a goal for the composition. These specifications express (infinite) sets of acceptable behaviors. We give an algorithm to solve the extended composition problem and we show that these two extensions retain the important properties of the initial framework and that the synthesis algorithm keep the same complexity.

Automated planning, Behavior composition
437-444
SciTePress
Farhat, Hikmat
4b7583f4-d03c-425e-a65a-82c0e157e7e6
Feuillade, Guillaume
ae3cc34f-6878-4d69-b692-23d796cfcc81
Farhat, Hikmat
4b7583f4-d03c-425e-a65a-82c0e157e7e6
Feuillade, Guillaume
ae3cc34f-6878-4d69-b692-23d796cfcc81

Farhat, Hikmat and Feuillade, Guillaume (2014) Modal specifications for composition of agent behaviors. In ICAART 2014 - Proceedings of the 6th International Conference on Agents and Artificial Intelligence. vol. 1, SciTePress. pp. 437-444 . (doi:10.5220/0004817804370444).

Record type: Conference or Workshop Item (Paper)

Abstract

The goal of the behavior composition problem is to build a complex target behavior using several agent behaviors. We propose two extensions to the framework where agent behaviors are modeled by finite transition system and where the composition is done by coordinating the actions of the agents. The first extension is done by making the composition indirect: instead of choosing the actions of the agent, the composition is done by a controller issuing sets of instructions at each step. This allows to model problems where the agents behaviors are not fully controllable. The second extension is the use of modal specifications as a goal for the composition. These specifications express (infinite) sets of acceptable behaviors. We give an algorithm to solve the extended composition problem and we show that these two extensions retain the important properties of the initial framework and that the synthesis algorithm keep the same complexity.

This record has no associated files available for download.

More information

Published date: 1 January 2014
Venue - Dates: 6th International Conference on Agents and Artificial Intelligence, ICAART 2014, , Angers, Loire Valley, France, 2014-03-06 - 2014-03-08
Keywords: Automated planning, Behavior composition

Identifiers

Local EPrints ID: 492306
URI: http://eprints.soton.ac.uk/id/eprint/492306
PURE UUID: 47c2de9f-f4c2-427d-a92b-1cb3bb622264
ORCID for Hikmat Farhat: ORCID iD orcid.org/0000-0002-5043-227X

Catalogue record

Date deposited: 23 Jul 2024 17:13
Last modified: 24 Jul 2024 02:06

Export record

Altmetrics

Contributors

Author: Hikmat Farhat ORCID iD
Author: Guillaume Feuillade

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×