Artificial intelligence and human decision making

Decision support: a matter of information supply and demand

“…It is the enlightened selection and the accurate capture of the critical indicators most useful to the business managers, within the organisation's currently available data sources, which is problematic. Pomerol (1997) differentiates between the 'diagnosis' and the 'look ahead' aspects of the decision process. Diagnosis relates to the current state, which is known with some certainty.…”

“…newell and Simon (1972) use the term "heuristic search method" to describe a mental model of search formulation for solving numerical, logical and other kinds of cognitive problems, and they suggest the effectiveness of particular heuristics as a function of the structure of the decision problem. Heuristic search is considered as 'what-if' analysis, which is regularly used to perform either sensitivity analysis or robustness analysis when comparing input variables for decision outcome exploration (Pomerol, 1997). The decision maker's evaluation of the outcome set incorporates their own heuristics and preferences.…”

Reducing myopic behavior in FMS control: A semi-heterarchical simulation–optimization approach

“…To do so, decisional entities usually put together some planning, which is the sequence of actions or sub-actions that will leads from their current state to the objective (Pomerol, 1997). A decisional entity is also socially myopic due to its finite computation capabilities to construct such planning.…”

An Objective Function Based on Fuzzy Preferences in Dynamic Decision Making

“…In this paper, we use the sequence of weights {w i t } T t=0 in (15) rather than the sequence of weights {w i t } n+T −1 t=0 in (9). The following equation gives a computation rule regarding capacities.…”