Work

Modeling Idea Generation Sequences Using Hidden Markov Models

Year: 2008

Type: article

Abstract: The paper presents computational models for investigating cognitive and socio-cognitive processes in the task of idea generation.We employed Hidden Markov Model (HMM) and its variants to model memory structures and processes in idea generation that have been theorized descriptively but not implemented and tested computationally.Existing algorithms and methods for HMM provide a new path to examine these invisible structures and processes, and the influence of social interactions in brainstorming groups.

Source: eScholarship (California Digital Library)

Author: Hao‐Chuan Wang

Language: English

Topic: Design Education and Practice

Subfield: Mechanical Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: green

Funders: National Science Council, National Taiwan Normal University

OpenAlex ID: W2768220370

FWCI:

Cites: 11

Cited by: 11

Related to: 10