Analyzing Political Decision Making from an Information-Processing Perspective: JESSE

Sylvan, Donald A.; Goel, Ashok K.; Chandrasekaran, B.

doi:10.2307/2111512

Cited by 23 publications

(8 citation statements)

References 28 publications

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“…JESSE, a computational model of Japanese energy policy making (Sylvan, Goel, and Chandrasekaran 1990) explicitly integrates cognitive and political factors. How, within political constraints, does the decision-making system interpret a situation and select a stored plan of action?…”

Section: Computational Modeling In International Relationsmentioning

confidence: 99%

POLI: An Expert System Model of U.S. Foreign Policy Belief Systems

Taber

1992

Am Polit Sci Rev

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One of the more fruitful systematic approaches to the study of foreign policy views nations as information processors and explains foreign policy as a function of information and processing thereon. Much of such processing depends on the prior beliefs of decision makers, but for a variety of reasons these systems of prior beliefs are very difficult to analyze using “standard” empirical and modeling techniques. Computational modeling, including expert system technology, provides an alternative methodology that allows such analysis. I present Policy Arguer (POLI), an expert system model of U.S. foreign policy making in Asia. Poli has been very successful in reproducing actual U.S. responses to events in Asia from the 1950s. More important, POLI recreates policy debate in the form of the arguments and counterarguments used to justify policy alternatives. The model explains foreign policy outputs in terms of a complete process from foreign policy beliefs, through debate, to choice.

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Section: Computational Modeling In International Relationsmentioning

confidence: 99%

POLI: An Expert System Model of U.S. Foreign Policy Belief Systems

Taber

1992

Am Polit Sci Rev

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“…The combination of an overall preference for integrating public works and differences in spatio-temporal rehabilitation strategies causes the involved decision-makers to make compromises about whether, where and when they cooperate. This implies decision-making is based on negotiations between different stakeholders in addition to the data (Allison, 1971;Lindblom & Woodhouse, 1993;Stone, 1988;Sylvan, Goel, & Chandrasekaran, 1990).…”

Section: Introductionmentioning

confidence: 99%

A gaming approach to networked infrastructure management

Riel

Post

Langeveld

et al. 2016

Structure and Infrastructure Engineering

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Operational decision-making processes for networked infrastructure management often occur as a multiactor planning problem, implying these are based on negotiations between different stakeholders in addition to available system quality information. As such, does more accurate data about actual structural condition lead to other or better decision-making? A serious game is introduced, Maintenance in Motion, aiming at investigating the influence of information quality on rehabilitation decisions, for single-and multi-actor decision-making. Players manage drinking water, gas, sewer and street infrastructures. They are to balance their individual goal, cost-effectiveness, with their team utility, increasing overall infrastructure quality to minimise failure while minimising overall public costs. The game design, calibration and solution space are presented. this is an Open access article distributed under the terms of the creative commons attribution-noncommercial-noderivatives License (http://creativecommons.org/ licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited, and is not altered, transformed, or built upon in any way.

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“…The combination of an overall preference for integrating public works and differences in spatial-temporal rehabilitation demands causes the involved decision-makers to make compromises about whether, where and when they rehabilitate simultaneously, in the light of their organisational strategies and preferences. This implies decision-making is often based on negotiations between different stakeholders in addition to available information about infrastructure condition (Allison, 1971;Lindblom & Woodhouse, 1993;Stone, 1988;Sylvan, Goel, & Chandrasekaran, 1990). This may be considered logical, because the best strategy per actor depends on the choices of others in multi-actor settings.…”

Section: Introductionmentioning

confidence: 99%

The influence of information quality on decision-making for networked infrastructure management

Riel

Langeveld

Herder

et al. 2016

Structure and Infrastructure Engineering

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The influence of information quality on decision-making for networked infrastructure management Wouter van Riel a , Jeroen Langeveld a,b , Paulien Herder c and François Clemens a,d a faculty of civil engineering and geosciences, Section Sanitary engineering, delft university of technology, delft, the netherlands; b Partners4urbanWater, nijmegen, the netherlands; c faculty of technology, Section energy and Industry, Policy and Management, delft university of technology, delft, the netherlands; d deltares, delft, the netherlands ABSTRACT Operational decision processes for networked infrastructure management often occur as a multi-actor planning problem, implying these are partly based on negotiations between different stakeholders. The starting point for negation for each stakeholder is the available information about the structural condition of his infrastructure. In this respect, this leads to the question: 'does more accurate data about actual structural condition lead to other or better decision-making?' A serious game is introduced, 'Maintenance in Motion' , aiming at investigating the influence of information quality about structural condition on replacement decisions, for single and multi-actor decision-making. Players are challenged to balance their individual goal, cost-effectiveness, with their team utility, increasing overall infrastructure quality to minimise failure while minimising overall public costs. Results show that if players are presented with perfect instead of imperfect information, in a single player environment, they played more cost-effectively. The availability of perfect instead of imperfect information about object state hardly changes game outcome in terms of team utility. It means collaborative choices for team utility are primarily based on negotiations that lead to compromises, instead of analytical reasoning as a group. This indicates that efforts in improving decisionmaking by improving information quality are only partly effective.

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Analyzing Political Decision Making from an Information-Processing Perspective: JESSE

Cited by 23 publications

References 28 publications

POLI: An Expert System Model of U.S. Foreign Policy Belief Systems

POLI: An Expert System Model of U.S. Foreign Policy Belief Systems

A gaming approach to networked infrastructure management

The influence of information quality on decision-making for networked infrastructure management

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