We are all aware of political imperatives towards e-government and public participation which, together with pressures from the information and communications industry to sell their wares, mean that e-participation and e-democracy are coming, and coming fast, whether or not the processes involved are meaningful and valid. Indeed, the bulk of research in the field concentrates mainly on technologies to facilitate or automate standard democratic instruments. Typical examples include technologies of e-voting, which essentially refer only to facilitating voting through electronic means, and...
We are all aware of political imperatives towards e-government and public participation which, together with pressures from the information and com...
The axiomatic foundations of the Bayesian approach to decision making assurne precision in the decision maker's judgements. In practicc, dccision makers often provide only partial and/or doubtful information. We unify and expand results to deal with those cases introducing a general framework for sensitivity analysis in multi-objective decision making. We study first decision making problems under partial information. We provide axioms leading to modelling preferences by families of value functions, in problems under certainty, and moJelling beliefs by families of probability distributions...
The axiomatic foundations of the Bayesian approach to decision making assurne precision in the decision maker's judgements. In practicc, dccision make...
Robust Bayesian analysis aims at overcoming the traditional objection to Bayesian analysis of its dependence on subjective inputs, mainly the prior and the loss. Its purpose is the determination of the impact of the inputs to a Bayesian analysis (the prior, the loss and the model) on its output when the inputs range in certain classes. If the impact is considerable, there is sensitivity and we should attempt to further refine the information the incumbent classes available, perhaps through additional constraints on and/ or obtaining additional data; if the impact is not important, robustness...
Robust Bayesian analysis aims at overcoming the traditional objection to Bayesian analysis of its dependence on subjective inputs, mainly the prior an...
We are all aware of political imperatives towards e-government and public participation which, together with pressures from the information and communications industry to sell their wares, mean that e-participation and e-democracy are coming, and coming fast, whether or not the processes involved are meaningful and valid. Indeed, the bulk of research in the field concentrates mainly on technologies to facilitate or automate standard democratic instruments. Typical examples include technologies of e-voting, which essentially refer only to facilitating voting through electronic means, and...
We are all aware of political imperatives towards e-government and public participation which, together with pressures from the information and com...
A relatively new area of research, adversarial risk analysis (ARA) informs decision making when there are intelligent opponents and uncertain outcomes. Adversarial Risk Analysis develops methods for allocating defensive or offensive resources against intelligent adversaries. Many examples throughout illustrate the application of the ARA approach to a variety of games and strategic situations.
The book shows decision makers how to build Bayesian models for the strategic calculation of their...
Flexible Models to Analyze Opponent Behavior
A relatively new area of research, adversarial risk analysis (ARA) informs de...
