Heuristic planning for hybrid systems

TY - CHAP

T1 - Heuristic planning for hybrid systems

AU - Piotrowski, Wiktor

AU - Fox, Maria

AU - Long, Derek

AU - Magazzeni, Daniele

AU - Mercorio, Fabio

PY - 2016

Y1 - 2016

N2 - Planning in hybrid systems has been gaining research interest in the Artificial Intelligence community in recent years. Hybrid systems allow for a more accurate representation of real world problems, though solving them is very challenging due to complex system dynamics and a large model feature set. We developed DiNo, a new planner designed to tackle problems set in hybrid domains. DiNo is based on the discretise and validate approach and uses the novel Staged Relaxed Planning Graph+ (SRPG+) heuristic.

AB - Planning in hybrid systems has been gaining research interest in the Artificial Intelligence community in recent years. Hybrid systems allow for a more accurate representation of real world problems, though solving them is very challenging due to complex system dynamics and a large model feature set. We developed DiNo, a new planner designed to tackle problems set in hybrid domains. DiNo is based on the discretise and validate approach and uses the novel Staged Relaxed Planning Graph+ (SRPG+) heuristic.

UR - http://www.scopus.com/inward/record.url?scp=85007188951&partnerID=8YFLogxK

M3 - Conference paper

AN - SCOPUS:85007188951

SN - 9781577357605

SP - 4254

EP - 4255

BT - 30th AAAI Conference on Artificial Intelligence, AAAI 2016

PB - AAAI Press

T2 - 30th AAAI Conference on Artificial Intelligence, AAAI 2016

Y2 - 12 February 2016 through 17 February 2016

ER -