---
abstract: "Economists tend to represent learning as a procedure for estimating the parameters of the \"correct\" econometric model. We extend this approach by assuming that agents specify as well as estimate models. Learning thus takes the form of a dynamic process of developing models using an internal language of representation where expectations are formed by forecasting with the best current model. This introduces a distinction between the form and content of the internal models which is particularly relevant for boundedly rational agents. We propose a framework for such model development which use a combination of measures: the error with respect to past data, the complexity of the model, the cost of finding the model and a measure of the model's specificity The agent has to make various trade-offs between them. A utility learning agent is given as an example."
altloc:
- http://www.cpm.mmu.ac.uk/cpmrep03.html
chapter: ~
commentary: ~
commref: ~
confdates: ~
conference: ~
confloc: ~
contact_email: ~
creators_id: []
creators_name:
- family: Moss
given: Scott
honourific: ''
lineage: ''
- family: Edmonds
given: Bruce
honourific: ''
lineage: ''
date: 1994-11
date_type: published
datestamp: 1998-08-07
department: ~
dir: disk0/00/00/05/10
edit_lock_since: ~
edit_lock_until: ~
edit_lock_user: ~
editors_id: []
editors_name: []
eprint_status: archive
eprintid: 510
fileinfo: /style/images/fileicons/application_postscript.png;/510/1/learningA4.ps|/style/images/fileicons/application_pdf.png;/510/5/learning.pdf
full_text_status: public
importid: ~
institution: ~
isbn: ~
ispublished: pub
issn: ~
item_issues_comment: []
item_issues_count: 0
item_issues_description: []
item_issues_id: []
item_issues_reported_by: []
item_issues_resolved_by: []
item_issues_status: []
item_issues_timestamp: []
item_issues_type: []
keywords: 'learning, bounded rationality, modelling, logic, noise, complexity, specificity economics, simulation'
lastmod: 2011-03-11 08:54:01
latitude: ~
longitude: ~
metadata_visibility: show
note: ~
number: ~
pagerange: 5-37
pubdom: FALSE
publication: Cybernetics and Systems
publisher: ~
refereed: TRUE
referencetext: ~
relation_type: []
relation_uri: []
reportno: ~
rev_number: 14
series: ~
source: ~
status_changed: 2007-09-12 16:29:31
subjects:
- comp-sci-art-intel
- comp-sci-mach-learn
- phil-sci
- soc-psy
succeeds: ~
suggestions: ~
sword_depositor: ~
sword_slug: ~
thesistype: ~
title: Modelling Learning as Modelling
type: journalp
userid: 192
volume: 29