Optimal Reasoning of Goals in Agent-Oriented Systems
| dc.contributor.author | Muniyappa Gounder Subramanian, Chitra | |
| dc.contributor.supervisor | Dr Aneesh Krishna | en_US |
| dc.date.accessioned | 2017-12-19T01:07:38Z | |
| dc.date.available | 2017-12-19T01:07:38Z | |
| dc.date.issued | 2017 | |
| dc.identifier.uri | http://hdl.handle.net/20.500.11937/59650 | |
| dc.description.abstract |
This thesis proposed a novel fuzzy-based approach for quantitative reasoning of goals in the i* framework for early requirements engineering. The fuzzy-based quantitative approach is extended by using an operation research technique namely optimisation. Furthermore, a novel approach based on game theory to manage requirements of a conflicting nature has been proposed. A tool has been developed to implement the proposed approaches and it was evaluated against OpenOME, an existing tool for the i* framework. | en_US |
| dc.publisher | Curtin University | en_US |
| dc.title | Optimal Reasoning of Goals in Agent-Oriented Systems | en_US |
| dc.type | Thesis | en_US |
| dcterms.educationLevel | PhD | en_US |
| curtin.department | Department of Computing | en_US |
| curtin.accessStatus | Open access | en_US |
| curtin.faculty | Science and Engineering | en_US |