2017
DOI: 10.1111/tops.12282
|View full text |Cite
|
Sign up to set email alerts
|

Sculpting Computational‐Level Models

Abstract: In this commentary, I advocate for strict relations between Marr's levels of analysis. Under a strict relationship, each level is exactly implemented by the subordinate level. This yields two benefits. First, it brings consistency for multilevel explanations. Second, similar to how a sculptor chisels away superfluous marble, a modeler can chisel a computational-level model by applying constraints. By sculpting the model, one restricts the (potentially infinitely large) set of possible algorithmic- and implemen… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

0
29
0

Year Published

2017
2017
2024
2024

Publication Types

Select...
5
1

Relationship

0
6

Authors

Journals

citations
Cited by 18 publications
(29 citation statements)
references
References 14 publications
0
29
0
Order By: Relevance
“…Our example is somewhat different from the example cited by Blokpoel (). He discusses Bayesian inverse planning (BIP) as an account of how one might infer an agent's goals from its actions (and knowledge of the probabilistic relations between actions and goals).…”
Section: The Primary Difficulty For Strict Relationsmentioning
confidence: 64%
See 4 more Smart Citations
“…Our example is somewhat different from the example cited by Blokpoel (). He discusses Bayesian inverse planning (BIP) as an account of how one might infer an agent's goals from its actions (and knowledge of the probabilistic relations between actions and goals).…”
Section: The Primary Difficulty For Strict Relationsmentioning
confidence: 64%
“…In other words, van Rooij's argument is that restricting inputs effectively renders tractable some computational‐level theories that would otherwise be intractable. This is a position that we, and Blokpoel (), endorse. However, restricting inputs typically increases the space of potential algorithms because algorithms that might be unreasonable on the full set of inputs may be reasonable when the set of inputs is restricted.…”
Section: An Additional Concernmentioning
confidence: 73%
See 3 more Smart Citations