Markovian processes have long been used to model stochastic environments. Reinforcement learning has emerged as a framework to solve sequential planning and decision-making proble...
Computer systems increasingly carry out tasks in mixed networks, that is in group settings in which they interact both with other computer systems and with people. Participants in...
Ya'akov Gal, Barbara J. Grosz, Sarit Kraus, Avi Pf...
paper, we present an abstract formal model of decision-making in a social setting that covers all aspects of the process, from recognition of a potential for cooperation through t...
Pietro Panzarasa, Nicholas R. Jennings, Timothy J....
: Mobile technology appears promising as a method to promote group performance in circumstances dependent on time, but not member proximity. However, the success of mobile technolo...
: In this paper, we present a supply chain network model with multiple tiers of decision-makers, consisting, respectively, of manufacturers, distributors, and retailers, who can co...
Previous research indicates that the human decision-making process is somewhat nonlinear and that nonlinear models would be more suitable than linear models for developing advance...
Mixed-initiative planning is one approach to building an intelligent decision-making environment. A mixedinitiative system shares decision-making responsibility with the user such...
Modelling human interaction and decision-making within a simulation presents a particular challenge. This paper describes a methodology that is being developed known as `knowledge...
Stewart Robinson, Thanos Alifantis, Robert Hurrion...
One resource playing a critical role in electronically supported decision-making groups is the facilitator. Facilitation is a complex task, encompassing social abilities, pre-meet...
The effective management of knowledge is critical for organizations that are striving to gain or maintain a competitive advantage and that are in the process of re-structuring for...