Linkage Infrastructure, Equipment And Facilities - Grant ID: LE0347079
Funder
Australian Research Council
Funding Amount
$160,000.00
Summary
Surface and strain measurement facilities for the investigation of intelligent CAD approaches. The basis of machine learning approaches is the ability to learn or train a system from data gathered through experiments or experience. A major short coming in the development and application of such methods is the lack of good quantitative data. Here we propose the acquisition of dimensional and strain measurement facilities that will allow the investigation of such methods in the context of manufact ....Surface and strain measurement facilities for the investigation of intelligent CAD approaches. The basis of machine learning approaches is the ability to learn or train a system from data gathered through experiments or experience. A major short coming in the development and application of such methods is the lack of good quantitative data. Here we propose the acquisition of dimensional and strain measurement facilities that will allow the investigation of such methods in the context of manufacturing - in particular sheet metal components for the automotive industry. The facilities will enable a database of dimensional and strain information to be established in support of related manufacturing R&D projects.Read moreRead less
Judgements and Decisions under Ambiguity and Conflict. Little is known about how people make decisions when faced with uncertainties arising from information that is both ambiguous and conflicting, despite the fact that ambiguity and conflict frequently arise in real decision-making situations. In fact, virtually nothing is known about the joint impact of conflict and ambiguity on judgements of risk and uncertainty or on decisional preferences. This project will investigate how perceptions of un ....Judgements and Decisions under Ambiguity and Conflict. Little is known about how people make decisions when faced with uncertainties arising from information that is both ambiguous and conflicting, despite the fact that ambiguity and conflict frequently arise in real decision-making situations. In fact, virtually nothing is known about the joint impact of conflict and ambiguity on judgements of risk and uncertainty or on decisional preferences. This project will investigate how perceptions of uncertainty are jointly affected by conflict and ambiguity in information, develop and test formal models of judgement and decision making under conflict and ambiguity, and examine the joint effects of ambiguity and conflict aversion on decision making.Read moreRead less
Zero-sum thinking: psychological predictors and causes. This project investigates the causes and psychological triggers of zero-sum thinking, the tendency to think that others' gains leave less for oneself. The results will enable negotiators and managers to defuse dysfunctional zero-sum thinking, thereby increasing the chances for cooperation and 'win-win' outcomes.