Temporal planning with semantic attachment of non-linear monotonic continuous behaviours

Josef Bajada; Maria Fox; Derek Long

Temporal planning with semantic attachment of non-linear monotonic continuous behaviours

Josef Bajada, Maria Fox, Derek Long

Department of Informatics

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

9 Citations (Scopus)

Abstract

Non-linear continuous change is common in realworld problems, especially those that model physical systems. We present an algorithm which builds upon existent temporal planning techniques based on linear programming to approximate non-linear continuous monotonic functions. These are integrated through a semantic attachment mechanism, allowing external libraries or functions that are difficult to model in native PDDL to be evaluated during the planning process. A new planning system implementing this algorithm was developed and evaluated. Results show that the addition of this algorithm to the planning process can enable it to solve a broader set of planning problems.

Original language	English
Title of host publication	IJCAI International Joint Conference on Artificial Intelligence
Publisher	International Joint Conferences on Artificial Intelligence
Pages	1523-1529
Number of pages	7
Volume	2015-January
ISBN (Print)	9781577357384
Publication status	Published - 2015
Event	24th International Joint Conference on Artificial Intelligence, IJCAI 2015 - Buenos Aires, Argentina Duration: 25 Jul 2015 → 31 Jul 2015

Conference

Conference	24th International Joint Conference on Artificial Intelligence, IJCAI 2015
Country/Territory	Argentina
City	Buenos Aires
Period	25/07/2015 → 31/07/2015

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http://ijcai.org/papers15/Papers/IJCAI15-218.pdf

Cite this

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title = "Temporal planning with semantic attachment of non-linear monotonic continuous behaviours",

abstract = "Non-linear continuous change is common in realworld problems, especially those that model physical systems. We present an algorithm which builds upon existent temporal planning techniques based on linear programming to approximate non-linear continuous monotonic functions. These are integrated through a semantic attachment mechanism, allowing external libraries or functions that are difficult to model in native PDDL to be evaluated during the planning process. A new planning system implementing this algorithm was developed and evaluated. Results show that the addition of this algorithm to the planning process can enable it to solve a broader set of planning problems.",

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booktitle = "IJCAI International Joint Conference on Artificial Intelligence",

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Bajada, J , Fox, M & Long, D 2015, Temporal planning with semantic attachment of non-linear monotonic continuous behaviours. in IJCAI International Joint Conference on Artificial Intelligence. vol. 2015-January, International Joint Conferences on Artificial Intelligence, pp. 1523-1529, 24th International Joint Conference on Artificial Intelligence, IJCAI 2015, Buenos Aires, Argentina, 25/07/2015. <http://ijcai.org/papers15/Papers/IJCAI15-218.pdf>

Temporal planning with semantic attachment of non-linear monotonic continuous behaviours. / Bajada, Josef ; Fox, Maria ; Long, Derek.
IJCAI International Joint Conference on Artificial Intelligence. Vol. 2015-January International Joint Conferences on Artificial Intelligence, 2015. p. 1523-1529.

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

TY - CHAP

T1 - Temporal planning with semantic attachment of non-linear monotonic continuous behaviours

AU - Bajada, Josef

AU - Fox, Maria

AU - Long, Derek

PY - 2015

Y1 - 2015

N2 - Non-linear continuous change is common in realworld problems, especially those that model physical systems. We present an algorithm which builds upon existent temporal planning techniques based on linear programming to approximate non-linear continuous monotonic functions. These are integrated through a semantic attachment mechanism, allowing external libraries or functions that are difficult to model in native PDDL to be evaluated during the planning process. A new planning system implementing this algorithm was developed and evaluated. Results show that the addition of this algorithm to the planning process can enable it to solve a broader set of planning problems.

AB - Non-linear continuous change is common in realworld problems, especially those that model physical systems. We present an algorithm which builds upon existent temporal planning techniques based on linear programming to approximate non-linear continuous monotonic functions. These are integrated through a semantic attachment mechanism, allowing external libraries or functions that are difficult to model in native PDDL to be evaluated during the planning process. A new planning system implementing this algorithm was developed and evaluated. Results show that the addition of this algorithm to the planning process can enable it to solve a broader set of planning problems.

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M3 - Chapter

AN - SCOPUS:84949751762

SN - 9781577357384

VL - 2015-January

SP - 1523

EP - 1529

BT - IJCAI International Joint Conference on Artificial Intelligence

PB - International Joint Conferences on Artificial Intelligence

T2 - 24th International Joint Conference on Artificial Intelligence, IJCAI 2015

Y2 - 25 July 2015 through 31 July 2015

ER -

Temporal planning with semantic attachment of non-linear monotonic continuous behaviours

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