We study the diffusion of a product in two customer segments where the acceptance level in one segment affects the diffusion rate not only in that same segment, but also in the other. The inter-segment influence can be positive or negative, i.e., the acceptance level of the product in one segment can reinforce or impede its diffusion in the other. The model set-up also applies to the diffusion ...

Imprecision in probability values (represented through credal sets) allows a more realistic modelling of uncertainty in decision problems. Uncertainties often lead to partially ordered preferences and, consequently, different criteria of choice may be taken into account. In this paper, we present an algorithm that evaluates an extended version of influence diagrams, where chance variables repre...

Influence diagrams allow for intuitive and yet precise description of complex situations involving decision making under uncertainty. Unfortunately, most of the problems described by influence diagrams are hard to solve. In this paper we discuss the complexity of approximately solving influence diagrams. We do not assume no-forgetting or regularity, which makes the class of problems we address ...

We show the soundness of automated con­ trol of machine vision systems based on in­ cremental creation and evaluation of a par­ ticular family of influence diagrams that rep­ resent hypotheses of imagery interpretation and possible subsequent processing decisions. In our approach, model-based machine vi­ sion techniques are integrated with hierarchi­ cal Bayesian inference to provide a framewor...

Many multichannel retailers are now offering customers the option to place their orders online and then pick them up from the retailers’ physical stores. As a relatively new type of multichannel retail service, the factors that influence consumers to use “online order/in-store pickup” (OOIP) remains largely unknown. This study uses the Behavioral Reasoning Theory to examine the factors that inf...

To facilitate interactive design, the solutions to configuration problems can be compiled into a decision diagram. We develop three heuristics for reducing the time and space required to do this. These heuristics are based on the distinctive clustered and hierarchical structure of the constraint graphs of configuration problems. The first heuristic attempts to limit the growth in the size of th...

This study tests the hypothesis of linguistic relativity along two lines of research: a) how L2 learners of Chinese and English, respectively, syntactically package semantic components for caused motion (cause, manner, path) in an experimental situation in which they are asked to describe video clips showing caused motion events to an imagery addressee, and b) how monolingual native speakers of...

Purpose: This paper seeks to answer two research questions which are " What are key factors which influence Chinese to adopt mobile technology? " and " Do these key factors differ from factors which are identified from Western context? " Design/methodology: The findings from a pilot study with 45 in-depth interviews are used to develop questionnaires and test across 800 residents from the three...

This paper exposes the results of our participation in INEX’06. Two runs were submitted to the Ad Hoc Thorough track obtained with Garnata, our Information Retrieval system for structured documents. We have implemented two different models based on Influence Diagrams, the SID and CID models. The result of this first participation has been very poor. In the paper, we describe the models, the sys...

Influence diagrams serve as a powerful tool for modelling symmetric decision problems. When solving an influence diagram we de­ termine a set of strategies for the decisions involved. A strategy for a decision variable is in principle a function over its past. How­ ever, some of the past may be irrelevant for the decision, and for computational reasons it is important not to deal with redundant...