Smog, Cognition and Real-World Decision-Making

Regulatory decision-making meets the real world.

As patient input in drug development increases and new data sources are tapped, regulators need to organize and ensure the quality of data to inform decision-making.

Decision Making in Uncertain Real-World Domains

DTGolog, a decision-theoretic agent programming language based on the situation calculus, was proposed to ease some of the computational difficulties associated with Markov Decision Processes (MDPs) by using natural ordering constraints on execution of actions. Using DTGolog, domain specific constraints on a set of policies can be expressed in a high-level program to reduce significantly comput...

Making Real-World Evidence More Useful for Decision Making.

Extending the Reach of Augmented Cognition To Real-World Decision Making Tasks

The focus of this paper is on the critical challenge of bridging the gap between psychophysiological sensor data and the inferred cognitive states of users. It is argued that a more robust behavioral data collection foundation will facilitate accurate inferences about the state of the user so that an appropriate mitigation strategy, if needed, can be applied. The argument for such a foundation ...

Real World EPD Considerations for Seedstock and Commercial Decision-Making

Predictive Heuristics for Decision-Making in Real-World Environments

In this paper we consider the issue of endowing an AGI system with decision-making capabilities for operation in real-world environments or those of comparable complexity. While action-selection is a critical function of any AGI system operating in the real-world, very few applicable theories or methodologies exist to support such functionality, when all necessary factors are taken into account...