EXCALIBUR Adaptive Constraint-Based Agents in Artificial Environments |
[APPLICATION] | [Orc Quest Revisited] [Domain-Independent Planning] [Conclusion] |
[ Please note: The project has been discontinued as of May 31, 2005 and is superseded by the projects of the ii Labs. There won't be further updates to these pages. ] |
(Related publications: [PUBLink] [PUBLink])
Section [Resources] introduced the Orc Quest example, a solution of which is presented in this section. The problem was defined as:
STATEVARS: Duration, Pain, Performers
INIT: Duration = 0, Pain = 0, Performers = 0
ACTION catch_only_one:
Duration += 2, Pain += 1, Performers += 1
ACTION catch_a_group:
Duration += 5, Pain += 4, Performers += 3
ACTION deliver_humans:
Duration += 1, Pain -= 11, Performers -= 10
The planning goal is a multi-objective one. The goal criteria are:
GOAL:
Satisfaction Criterion: Performers >= 5
Primary Optimization Criterion: min(Pain)
Secondary Optimization Criterion: min(Duration)
[APPLICATION] | [Orc Quest Revisited] [Domain-Independent Planning] [Conclusion] |
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Last update:
May 20, 2001 by Alexander Nareyek