We consider an agent who has to repeatedly make choices in an uncertain and changing environment, who has full information of the past, who discounts future payoffs, but who has no prior. We provide a learning algorithm that performs almost as well as the best of a given finite number of experts or benchmark strategies and does so at any point in time, provided the agent is sufficiently patient...

Dimensional analysis, for multi-criteria decision making, is a mathematical method that includes diverse heterogeneous criteria into a single dimensionless index. Dimensional Analysis, in its current definition, presents the drawback to manipulate fuzzy information commonly presented in a multi-criteria decision making problem. To overcome such limitation, we propose two dimensional analysis ba...

from Macromedia Inc., as well as grants from Telus Communications Inc. and the University of Alberta through its Social Science Research Program. The authors thank Terry Elrod for his valuable assistance, V. J. Carey for making available his S-Plus function for fitting GEE models, Barry Ard for his programming assistance, and Adam Finn, Julie Irwin, as well as the Editor, the Area Editor, and t...

This paper presents a multiagent architecture and algorithms for collaborative, self-organizing learning in distributed, heterogeneous and dynamic business systems, where the participating agents have local, incomplete knowledge about the whole business transaction. The agents are self-organized for integrating their individual learning based on the business context. This is illustrated by a su...

Teachers Participating in Professional Learning Activities: The Role of Personal, Organizational, and Administrative Factors   M. AhmadYoosofi* H. Motaharinejaad, Ph.D. ** H. Aazari, Ph.D. ***   To help with the improvement in professional learning of teachers the opinions of 190 elementary school teachers on developmental leadership, cooperation among teachers, internalization ...

Stochasticity pervades life at the cellular level. Cells receive stochastic signals, perform detection and transduction with stochastic biochemistry, and grow and die in stochastic environments. Here we review progress in going from the molecular details to the information-processing strategies cells use in their decision-making. Such strategies are fundamentally influenced by stochasticity. We...

Results of game theory are often the keys to decisions of economical and political executives. They are also used to create internal tools of many decision making software. For example, coordination games may be cooperative games, when the players choose the strategies by a consensus decision making process, and game trees are used to represent some key cooperative games. Our theory of cooperat...

Recent studies suggest that cooperative decision-making in one-shot interactions is a history-dependent dynamic process: promoting intuition versus deliberation typically has a positive effect on cooperation (dynamism) among people living in a cooperative setting and with no previous experience in economic games on cooperation (history dependence). Here, we report on a laboratory experiment exp...

Recent years we can hear a lot about cooperative decision-making, group or collaborative decision-making. These types of decisions are the consequences of developed working conditions: geographical dispersion, team working, and concurrent working. In the article we present two research works concerning two different collective decision situations: face-to-face decision-making and synchronous di...