Stated Choice Experiments with Complex Ecosystem Changes: The Effect of Information Formats on Estimated Variances and Choice Parameters

Stated choice experiments about ecosystem changes involve complex information. This study examines whether the format in which ecosystem information is presented to respondents affects stated choice outcomes. Our analysis develops a utility-maximizing model to describe respondent behavior. The model shows how alternative questionnaire formats alter respondents’ use of filtering heuristics and result in differences in preference estimates. Empirical results from a large-scale stated choice experiment confirm that different format presentations of the same information lead to different preference parameter estimates and error variances. A tabular format results in choice parameter estimates with statistically smaller variances than parameters estimated from data obtained with a text-based format. A text-based format also appears to induce greater use of decision heuristics than does a tabular format.choice experiments, heuristics, stated preference, valuation, web surveys, wetland mitigation, Crop Production/Industries, Demand and Price Analysis,

The safety case and the lessons learned for the reliability and maintainability case

This paper examine the safety case and the lessons learned for the reliability and maintainability case

Three Modern Roles for Logic in AI

We consider three modern roles for logic in artificial intelligence, which are based on the theory of tractable Boolean circuits: (1) logic as a basis for computation, (2) logic for learning from a combination of data and knowledge, and (3) logic for reasoning about the behavior of machine learning systems.Comment: To be published in PODS 202

Bargaining in the shadow of a trial : adding notions of fairness to interest-based negotiation in legal domains

Most negotiation support systems have focused upon the notion of meeting the disputants’ interests. However in the legal domain, Alternative Dispute Resolution often occurs in the shadow of the law. Integrative bargaining neglects the vital issues of justice and power. In this article we address the issue of how to add notions of fairness to interests, through the development of the Family_Mediator system. Family_Mediator is an extension of the Family_Winner system, which advises mediators about potential trade-offs and compensation strategies for divorcing couples

The data warehouse as a means to support knowledge management

: This paper tries to provide a new view on the currently vastly discussed and successfully employed concept of a Data Warehouse. This view presents it in the light of Knowledge Management, i.e. a Data Warehouse can serve as a storage medium for keeping the corporate memory, or at least concerning certain types of data. It helps gaining new knowledge by delivering well integrated data to analysis tools, e.g. On-Line Analytical Processing or Knowledge Discovery in Databases, and thus becomes an important part of Decision Support Systems or Executive Information Systems. In this way a Data Warehouse, storing only data, results in growth of knowledge and may lead to enhance the enterprise 's success. The paper does not claim, that a Data Warehouse is the only thing an enterprise needs to perform successful Knowledge Management. 1 Introduction During the last months several workshops, symposia etc. dealt with a new (or not so new) topic: "Knowledge Management" (KM). The term..

MANAGERIAL DECISION MAKING AUGMENTATION THROUGHOUT INFORMATION SOLUTIONS: THE CONCEPTUAL SYSTEM

The dynamism of the environment where decisions are being performed becomes ever more turbulent. Strategic thinker in order to drive his organization towards success and sustain it on a competitive level must take fast actions and consider vast number of complex factors. This requires deep insight into the organization and fast way of processing data in order to develop possibly unambiguous judgments. Human mind, without any support, would not cope with processing such amount of information what would lead to poor managerial decision. It is known that human requires support of his cognitive thinking processes and current technology harnessed in appropriate way would enable decision maker to perform fast, yet precise decisions that are crucial for enterprise to successfully compete on the turbulent market. This thesis introduces a conceptual system of decision making augmentation. Such system would harness the modern processing power of computers within an ERP based infrastructure to collect data from across the organization and process it accordingly. Processed, grouped, and filtered data would be presented via graphical, interactive, and highly adaptive interface allowing decision maker to quickly analyze data and simulate possible opportunities in order to perform high quality decision making. This concept is built on theory review synthetized in context of the idea; three propositions build a core of the further analysis which at last creates a foundation for the system development. This thesis does not introduce to technical aspects of the system but to an idea of how decision maker and organization could potentially benefit from it.fi=Opinnäytetyö kokotekstinä PDF-muodossa.|en=Thesis fulltext in PDF format.|sv=Lärdomsprov tillgängligt som fulltext i PDF-format