Author's Keywords: Political Behavior, Election, Political Psychology, Political Cognition, Formal Model, Computational Model, Simulation, Multi-agents Based Simulation	Convention Need a solution for abstract management? All Academic can help! Contact us today to find out how our system can help your annual meeting. Submission - Custom fields, multiple submission types, tracks, audio visual, multiple upload formats, automatic conversion to pdf. Review - Peer Review, Bulk reviewer assignment, bulk emails, ranking, z-score statistics, and multiple worksheets! Reports - Many standard and custom reports generated while you wait. Print programs with participant indexes, event grids, and more! Scheduling - Flexible and convenient grid scheduling within rooms and buildings. Conflict checking and advanced filtering. Communication - Bulk email tools to help your administrators send reminders and responses. Use form letters, a message center, and much more! Management - Search tools, duplicate people management, editing tools, submission transfers, many tools to manage a variety of conference management headaches! Click here for more information.
Association: Name: American Political Science Association URL: http://www.apsanet.org
Citation: URL: http://www.allacademic.com/meta/p59348_index.html Direct Link: HTML Code:

Kim, Sung-youn., Lodge, Milton. and Taber, Charles. "A Computational Model of Political Cognition: The Dynamics of Candidate Evaluation" Paper presented at the annual meeting of the American Political Science Association, Hilton Chicago and the Palmer House Hilton, Chicago, IL, Sep 02, 2004 <Not Available>. 2009-05-26 <http://www.allacademic.com/meta/p59348_index.html>

Kim, S. , Lodge, M. and Taber, C. , 2004-09-02 "A Computational Model of Political Cognition: The Dynamics of Candidate Evaluation" Paper presented at the annual meeting of the American Political Science Association, Hilton Chicago and the Palmer House Hilton, Chicago, IL Online <.PDF>. 2009-05-26 from http://www.allacademic.com/meta/p59348_index.html

Publication Type: Conference Paper/Unpublished Manuscript Review Method: Peer Reviewed Abstract: In this paper, we report on John Q. Public (JQP), a computational model of political judgement which incorporates both cognitive and affective information within an ACT*-like semantic network and integrates campaign events into candidate evaluations. We develop a set of axioms for our underlying theory of information processing, represent those axioms formally as a computer program written in Common Lisp within the ACT-R framework, and test the internal validity of the model through a series of computational experiments. Using the model, we also simulate the empirical dynamics of candidate evaluation over the course of campaign in the 2000 presidential election using NAES (National Annenberg Election Survey) 2000 data. The results from computational experiments show that the single, principled set of cognitive/affective mechanisms programmed into John Q. Public successfully reproduces a set of well-known empirical phenomena found in electoral research and research on political cognition. Specifically, in response to issue and candidate information, JQP reproduces 1) practice, recency, and spreading activation effects on recall, 2) cognitive and attitude priming effects, 3) question order and wording effects, 4) both on-line and memory-based processing, 5) and, most importantly, adjusts its beliefs and attitudes in response to campaign events. The multiple agents based simulation of empirical dynamics of candidate evaluation in the 2000 election show that John Q. Public successfully and simulataneously reproduces the empirical dynamics over the course of campaign across 5 different ideological groups.

Heuristic and Systematic Biased Processing of Political Messages: Effects of Candidate Preference and the Level of Interest in Politics on Attitudes toward Issues

How Media Bias Affects Attitude Change: Studying Individual-Level Effects of Political Commentary on Changing Party Evaluations during the UK Election Campaign in 2005