Concept formation: A complex adaptative approach

Theoria 9 (1):89-108 (1994)
Concept formation is complex cognitive phenomenon which has been only partially modelIed in Cognitive Psychology and AI. Following a detailed and critical evaluation of such models we conclude that their main shortcoming of not being able to explain the nature of the semantics of concepts is because they fail to take into account the role of learning in concept formation. As a radical alternative it is proposed that a more (semantically) complete model would necessarily have to give an account of how concepts are formed as a result of agent-environment interaction, that is mediated by an agents action in its environment and feedback from it. Such a shift in focus renders the investigation of the nature of concept formation as a complex and dynamic adaptive system. In accordance with this shift in perspective we propose and describe a novel methodological approach and a computational model that would support simple concept formation in an autonomous agent, which enables us to investigate concept formation in a more comprehensive manner. Overall we provide a compelling justification of the efficacy of such an ecological approach to the study of concept formation
Keywords No keywords specified (fix it)
Categories (categorize this paper)
DOI theoria19949136
 Save to my reading list
Follow the author(s)
My bibliography
Export citation
Find it on Scholar
Edit this record
Mark as duplicate
Revision history Request removal from index
Download options
PhilPapers Archive

Upload a copy of this paper     Check publisher's policy on self-archival     Papers currently archived: 24,470
External links
Setup an account with your affiliations in order to access resources via your University's proxy server
Configure custom proxy (use this if your affiliation does not provide a proxy)
Through your library
References found in this work BETA

No references found.

Add more references

Citations of this work BETA

No citations found.

Add more citations

Similar books and articles

Monthly downloads

Added to index


Total downloads

29 ( #165,992 of 1,925,556 )

Recent downloads (6 months)

11 ( #82,397 of 1,925,556 )

How can I increase my downloads?

My notes
Sign in to use this feature

Start a new thread
There  are no threads in this forum
Nothing in this forum yet.