Interfacing Belief-Desire-Intention Agent Systems with Geometric Reasoning for Robotics and Manufacturing

Lavindra de Silva; Felipe Meneguzzi; David Sanderson; Jack C Chaplin; Otto J Bakker; Nikolas Antzoulatos; Svetan Ratchev

doi:10.1007/978-3-319-30337-6_17

Interfacing Belief-Desire-Intention Agent Systems with Geometric Reasoning for Robotics and Manufacturing

Lavindra de Silva, Felipe Meneguzzi, David Sanderson, Jack C Chaplin, Otto J Bakker, Nikolas Antzoulatos, Svetan Ratchev

Computing Science

Research output: Chapter in Book/Report/Conference proceeding › Chapter

1 Citation (Scopus)

Abstract

Unifying the symbolic and geometric representations and algorithms used in AI and robotics is an important challenge for both fields. We take a small step in this direction by presenting an interface between geometric reasoning and a popular class of agent systems, in a way that uses some of the agent’s available constructs and semantics. We then describe how certain kinds of information can be extracted from the geometric model of the world and used in agent reasoning. We motivate our concepts and algorithms within the context of a real-world production system.

Original language	English
Title of host publication	Service Orientation in Holonic and Multi-Agent Manufacturing
Publisher	Springer
Pages	179-188
Number of pages	10
ISBN (Electronic)	978-3-319-30337-6
ISBN (Print)	978-3-319-30335-2
DOIs	https://doi.org/10.1007/978-3-319-30337-6_17
Publication status	Published - 2016

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title = "Interfacing Belief-Desire-Intention Agent Systems with Geometric Reasoning for Robotics and Manufacturing",

abstract = "Unifying the symbolic and geometric representations and algorithms used in AI and robotics is an important challenge for both fields. We take a small step in this direction by presenting an interface between geometric reasoning and a popular class of agent systems, in a way that uses some of the agent{\textquoteright}s available constructs and semantics. We then describe how certain kinds of information can be extracted from the geometric model of the world and used in agent reasoning. We motivate our concepts and algorithms within the context of a real-world production system.",

author = "{de Silva}, Lavindra and Felipe Meneguzzi and David Sanderson and Chaplin, {Jack C} and Bakker, {Otto J} and Nikolas Antzoulatos and Svetan Ratchev",

note = "Acknowledgements We thank Amit Kumar Pandey and the reviewers for useful feedback. Felipe thanks CNPq for support within grant no. 306864/2013-4 under the PQ fellowship and 482156/2013-9 under the Universal project programs. The other authors are grateful for support from the Evolvable Assembly Systems EPSRC project (EP/K018205/1), and the PRIME EU FP7 project (Grant Agreement: 314762).",

year = "2016",

doi = "10.1007/978-3-319-30337-6_17",

language = "English",

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T1 - Interfacing Belief-Desire-Intention Agent Systems with Geometric Reasoning for Robotics and Manufacturing

AU - de Silva, Lavindra

AU - Meneguzzi, Felipe

AU - Sanderson, David

AU - Chaplin, Jack C

AU - Bakker, Otto J

AU - Antzoulatos, Nikolas

AU - Ratchev, Svetan

N1 - Acknowledgements We thank Amit Kumar Pandey and the reviewers for useful feedback. Felipe thanks CNPq for support within grant no. 306864/2013-4 under the PQ fellowship and 482156/2013-9 under the Universal project programs. The other authors are grateful for support from the Evolvable Assembly Systems EPSRC project (EP/K018205/1), and the PRIME EU FP7 project (Grant Agreement: 314762).

PY - 2016

Y1 - 2016

N2 - Unifying the symbolic and geometric representations and algorithms used in AI and robotics is an important challenge for both fields. We take a small step in this direction by presenting an interface between geometric reasoning and a popular class of agent systems, in a way that uses some of the agent’s available constructs and semantics. We then describe how certain kinds of information can be extracted from the geometric model of the world and used in agent reasoning. We motivate our concepts and algorithms within the context of a real-world production system.

AB - Unifying the symbolic and geometric representations and algorithms used in AI and robotics is an important challenge for both fields. We take a small step in this direction by presenting an interface between geometric reasoning and a popular class of agent systems, in a way that uses some of the agent’s available constructs and semantics. We then describe how certain kinds of information can be extracted from the geometric model of the world and used in agent reasoning. We motivate our concepts and algorithms within the context of a real-world production system.

U2 - 10.1007/978-3-319-30337-6_17

DO - 10.1007/978-3-319-30337-6_17

M3 - Chapter

SN - 978-3-319-30335-2

SP - 179

EP - 188

BT - Service Orientation in Holonic and Multi-Agent Manufacturing

PB - Springer

ER -

Interfacing Belief-Desire-Intention Agent Systems with Geometric Reasoning for Robotics and Manufacturing

Abstract

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