The Development of an AI Journal Ranking List Based on the Revealed Preference Approach

This study presents a ranking of 179 academic journals in the field of artificial intelligence. For this, the revealed preference approach, also referred to as a citation impact method, was utilized to collect data from Google Scholar. The ranking list was developed based on three relatively novel indices: h-index, g-index, and hc-index. These indices correlated perfectly with one another, and they correlated very strongly with Thomson`s Journal Impact Factors. The presented list may be utilized by scholars who want to demonstrate their research output, various academic committees, librarians and administrators who are not familiar with the AI research domain

A Personalized System for Conversational Recommendations

Searching for and making decisions about information is becoming increasingly difficult as the amount of information and number of choices increases. Recommendation systems help users find items of interest of a particular type, such as movies or restaurants, but are still somewhat awkward to use. Our solution is to take advantage of the complementary strengths of personalized recommendation systems and dialogue systems, creating personalized aides. We present a system -- the Adaptive Place Advisor -- that treats item selection as an interactive, conversational process, with the program inquiring about item attributes and the user responding. Individual, long-term user preferences are unobtrusively obtained in the course of normal recommendation dialogues and used to direct future conversations with the same user. We present a novel user model that influences both item search and the questions asked during a conversation. We demonstrate the effectiveness of our system in significantly reducing the time and number of interactions required to find a satisfactory item, as compared to a control group of users interacting with a non-adaptive version of the system

Implicit prices of indigenous cattle traits in central Ethiopia: Application of revealed and stated preference approaches

The diversity of animal genetic resources has a quasi-public good nature that makes market prices inadequate indicator of its economic worth. Applying the characteristics theory of value, this research estimated the relative economic worth of the attributes of cattle genetic resources in central Ethiopia. Transaction level data were collected over four seasons in a year and choice experiment survey was done in five markets to generate data on both revealed and stated preferences of cattle buyers. Heteroscedasticity efficient estimation and random parameters logit were employed to analyse the data. The results essentially show that attributes related to the subsistence functions of cattle are more valued than attributes that directly influence marketable products of the animals. The findings imply the strong need to invest on improvement of attributes of cattle in the study area that enhance the subsistence functions of cattle that their owners accord higher priority to support their livelihoods than they do to tradable products

Decisions with endogenous frames

We develop a model of decision-making with endogenous frames and contrast the normative implications of our model to those of choice theoretic models in which observed choices are determined by exogenous frames or ancillary conditions. We argue that, frames, though they may be taken as given by the decision-maker at the point when choices are made, matter for both welfare and policy purposes

Identity and affect in design cognition

Much Design Research effort has been afforded to investigating how designers think and what they do; often in the form of protocol analysis. These investigations have mainly focused on how designers influence material culture however, little attention has been paid to another line of enquiry; that is how the act of designing affects the individual undertaking the work and the role of social psychological phenomena e.g. attitudes, evaluations, emotions, impressions, motivations and social behaviour - on design activity. This interplay of affect between design activity and a designer’s social psychological behaviour is a complex two way process that warrants further investigation. Our research agenda focuses on the individual undertaking design activity and asks how does designing affect the designer and their behaviour? In this paper two issues are addressed: 1. The immediate effects of design activity on the designer 2. The role of self-concept in design cognition These two issues are investigated through a series of experiments carried out under semi-controlled conditions using several forms of observation and novel self-concept inventories. This paper draws attention to the need to consider self-concept and affect in design cognition and introduces the idea of design identity, which is uniquely different to the concept of design experience often quoted in the literature. This is an area of the ongoing research agenda within the Department of Design and Technology, Loughborough University, UK. Keywords: Design Activity; Design Behaviour; Psychology of Design; Self-Concept; Immediate Effects</p

Individualized Rank Aggregation using Nuclear Norm Regularization

In recent years rank aggregation has received significant attention from the machine learning community. The goal of such a problem is to combine the (partially revealed) preferences over objects of a large population into a single, relatively consistent ordering of those objects. However, in many cases, we might not want a single ranking and instead opt for individual rankings. We study a version of the problem known as collaborative ranking. In this problem we assume that individual users provide us with pairwise preferences (for example purchasing one item over another). From those preferences we wish to obtain rankings on items that the users have not had an opportunity to explore. The results here have a very interesting connection to the standard matrix completion problem. We provide a theoretical justification for a nuclear norm regularized optimization procedure, and provide high-dimensional scaling results that show how the error in estimating user preferences behaves as the number of observations increase

Decisions with Endogenous Frames

This paper contrasts the normative implications of a model of decisionmaking with endogenous frames to those of choice theoretic models of Bernheim and Rangel (2007, 2009) and Rubinstein and Salant (2008) in which observed choices are determined by exogenous frames or ancillary conditions. We argue that frames, though exogenous to the individual at the point when choices are made, matter for welfare purposes.Decisions, choice, frames, standard, behavioral, welfare