#cognitivemodelling — Public Fediverse posts

Do you remember this question:

How Can Slow Components Think So Fast?

This was the title of the 1988 Spring Symposium on Parallel Models of Intelligence, Stanford, California.
(Note that the pulse rates of biological neurons are several _orders of magnitude_ lower than clock rates of computer processors, even though one cannot be directly compared to the other.)

I think the answer has been known, or strongly suspected, for a long time.
Maybe it was proposed at that symposium itself.

As this BBC article puts it:
«... a leading theory about how our brains deal with visual information called predictive coding. It suggests that our visual system doesn't just passively process features in our surroundings when we look around. Instead, it first predicts what it expects to see by drawing on past experience before it processes discrepancies in the input from our eyes. This allows us to see more quickly.»

Furthermore, using computer models to help understand human cognition has long been one of the goals of cognitive science.

From the BBC:
AI can now 'see' optical illusions. What does it tell us about our own brains?
<https://www.bbc.com/future/article/20251218-how-ai-is-shedding-new-light-on-optical-illusions>

#AI
#ArtificialIntelligence
#CognitiveModeling
#CognitiveModelling
#CognitiveScience

Along with the gactar 0.13.0 release yesterday, I released v0.4.0 of the VS Code extension for it.

This extension provides syntax highlighting, snippets to quickly create an amod file or add productions, and allows you to run gactar directly through VS Code.

https://marketplace.visualstudio.com/items?itemName=asmaloney.gactar

#VSCode #VSCodeExtension #CogSci #CognitiveScience #CognitiveArchitecture #CognitiveModelling #ACTR #OpenSource #Symbolic #SymbolicAI #gactar

Along with the gactar 0.13.0 release yesterday, I released v0.4.0 of the VS Code extension for it.

This extension provides syntax highlighting, snippets to quickly create an amod file or add productions, and allows you to run gactar directly through VS Code.

https://marketplace.visualstudio.com/items?itemName=asmaloney.gactar

#VSCode #VSCodeExtension #CogSci #CognitiveScience #CognitiveArchitecture #CognitiveModelling #ACTR #OpenSource #Symbolic #SymbolicAI #gactar

Along with the gactar 0.13.0 release yesterday, I released v0.4.0 of the VS Code extension for it.

This extension provides syntax highlighting, snippets to quickly create an amod file or add productions, and allows you to run gactar directly through VS Code.

https://marketplace.visualstudio.com/items?itemName=asmaloney.gactar

#VSCode #VSCodeExtension #CogSci #CognitiveScience #CognitiveArchitecture #CognitiveModelling #ACTR #OpenSource #Symbolic #SymbolicAI #gactar

Along with the gactar 0.13.0 release yesterday, I released v0.4.0 of the VS Code extension for it.

This extension provides syntax highlighting, snippets to quickly create an amod file or add productions, and allows you to run gactar directly through VS Code.

https://marketplace.visualstudio.com/items?itemName=asmaloney.gactar

#VSCode #VSCodeExtension #CogSci #CognitiveScience #CognitiveArchitecture #CognitiveModelling #ACTR #OpenSource #Symbolic #SymbolicAI #gactar

🧠 I released v0.13 of my gactar tool for creating & running basic ACT-R models on multiple implementations using a single declarative file format.

ACT-R (Adaptive Control of Thought — Rational) is both a theory of cognition and an implementation of that theory in software.

https://github.com/asmaloney/gactar/releases/tag/v0.13.0

#CogSci #CognitiveScience #CognitiveArchitecture #CognitiveModelling #ACTR #OpenSource #GoLang #Symbolic #SymbolicAI

🧠 I released v0.13 of my gactar tool for creating & running basic ACT-R models on multiple implementations using a single declarative file format.

ACT-R (Adaptive Control of Thought — Rational) is both a theory of cognition and an implementation of that theory in software.

https://github.com/asmaloney/gactar/releases/tag/v0.13.0

#CogSci #CognitiveScience #CognitiveArchitecture #CognitiveModelling #ACTR #OpenSource #GoLang #Symbolic #SymbolicAI

🧠 I released v0.13 of my gactar tool for creating & running basic ACT-R models on multiple implementations using a single declarative file format.

ACT-R (Adaptive Control of Thought — Rational) is both a theory of cognition and an implementation of that theory in software.

https://github.com/asmaloney/gactar/releases/tag/v0.13.0

#CogSci #CognitiveScience #CognitiveArchitecture #CognitiveModelling #ACTR #OpenSource #GoLang #Symbolic #SymbolicAI

🧠 I released v0.13 of my gactar tool for creating & running basic ACT-R models on multiple implementations using a single declarative file format.

ACT-R (Adaptive Control of Thought — Rational) is both a theory of cognition and an implementation of that theory in software.

https://github.com/asmaloney/gactar/releases/tag/v0.13.0

#CogSci #CognitiveScience #CognitiveArchitecture #CognitiveModelling #ACTR #OpenSource #GoLang #Symbolic #SymbolicAI

🧠 I released v0.12 of my gactar tool for creating & running basic ACT-R models on multiple implementations using a single declarative file format.

ACT-R (Adaptive Control of Thought — Rational) is both a theory of cognition and an implementation of that theory in software.

This release fixes issues, adds some capabilities to the language, & adds some new command-line tools.

https://github.com/asmaloney/gactar/releases/tag/v0.12.0

#CogSci #CognitiveScience #CognitiveArchitecture #CognitiveModelling #ACTR #OpenSource #GoLang

🧠 I released v0.12 of my gactar tool for creating & running basic ACT-R models on multiple implementations using a single declarative file format.

ACT-R (Adaptive Control of Thought — Rational) is both a theory of cognition and an implementation of that theory in software.

This release fixes issues, adds some capabilities to the language, & adds some new command-line tools.

https://github.com/asmaloney/gactar/releases/tag/v0.12.0

#CogSci #CognitiveScience #CognitiveArchitecture #CognitiveModelling #ACTR #OpenSource #GoLang

For any cognitive science people out there in the Mastiverse who are into *symbolic*, I've just updated my mirror of Lisp ACT-R on GitHub to **7.27.7 **from 19 July 2022.

https://github.com/asmaloney/ACT-R

(For non-CogSci people, ACT-R (Adaptive Control of Thought — Rational) is both a theory of cognition and an implementation of that theory in software.)

#CogSci #CognitiveScience #CognitiveArchitecture #CognitiveModelling #ACTR #OldSchoolAI #Lisp

Open Position 2: Post-Doc (4 Jahre) in der Allgemeinen Psychologie zu besetzen: https://t1p.de/hx6i7. #openScience, #bayesian statistics, and/or #cognitiveModelling are an asset. Teaching language is German, at least after one year. In the first year, English is possible.
#jobOffer, #stellenAngebot

Open Position 1: Post-Doc als Akademische Rätin / Akademischer Rat auf Zeit in der Allgemeinen Psychologie zu besetzen: https://t1p.de/5cpqg . #openScience, #bayesian statistics, and/or #cognitiveModelling are an asset. Teaching language is German, at least after one year. In the first year, English is possible.
#jobOffer, #stellenAngebot

🧠 I released v0.11 of my gactar tool for creating & running basic ACT-R models on multiple implementations using a single declarative file format.

ACT-R (Adaptive Control of Thought — Rational) is both a theory of cognition and an implementation of that theory in software.

This release changes it to a command-style cli & adds colour to the command-line output.

https://github.com/asmaloney/gactar

#CogSci #CognitiveScience #CognitiveArchitecture #CognitiveModelling #ACTR #OldSchoolAI #OpenSource #GoLang

OK.

#chatgpt #ddm #cognitivemodelling #stan

Lieto, Antonio, Lebiere, Christian, & Oltramari, Alessandro (2018). The knowledge level in cognitive architectures: Current limitations and possible developments. Cognitive Systems Research, 48, 39-55.

https://doi.org/10.1016/j.cogsys.2017.05.001

#knowledgerepresentation #knowledgeprocessing #semanticmemory #cognitivearchitectures #cognitivesystems #ArtificialIntelligence #cognitivemodelling #computationalcognitivescience #AI

H2: I have also dealt with the problem of #commonsensereasoning by proposing, with G. Pozzato, the #logic TCL (typicality-based compositional logic) the first logic-based account able to model - with a unique formalism - the problem of both human-like NOUN-NOUN commonsense conceptual combination & the one of #conceptualblending. TCL has been applied to applications ranging from #cognitivemodelling to #computationalcreativity & #recommendersystems.

Info @: https://www.antoniolieto.net/tcl_logic.htm

H2: I have also dealt with the problem of #commonsensereasoning by proposing, with G. Pozzato, the #logic TCL (typicality-based compositional logic) the first logic-based account able to model - with a unique formalism - the problem of both human-like NOUN-NOUN commonsense conceptual combination & the one of #conceptualblending. TCL has been applied to applications ranging from #cognitivemodelling to #computationalcreativity & #recommendersystems.

Info @: https://www.antoniolieto.net/tcl_logic.htm

H2: I have also dealt with the problem of #commonsensereasoning by proposing, with G. Pozzato, the #logic TCL (typicality-based compositional logic) the first logic-based account able to model - with a unique formalism - the problem of both human-like NOUN-NOUN commonsense conceptual combination & the one of #conceptualblending. TCL has been applied to applications ranging from #cognitivemodelling to #computationalcreativity & #recommendersystems.

Info @: https://www.antoniolieto.net/tcl_logic.htm

H2: I have also dealt with the problem of #commonsensereasoning by proposing, with G. Pozzato, the #logic TCL (typicality-based compositional logic) the first logic-based account able to model - with a unique formalism - the problem of both human-like NOUN-NOUN commonsense conceptual combination & the one of #conceptualblending. TCL has been applied to applications ranging from #cognitivemodelling to #computationalcreativity & #recommendersystems.

Info @: https://www.antoniolieto.net/tcl_logic.htm

H2: I have also dealt with the problem of #commonsensereasoning by proposing, with G. Pozzato, the #logic TCL (typicality-based compositional logic) the first logic-based account able to model - with a unique formalism - the problem of both human-like NOUN-NOUN commonsense conceptual combination & the one of #conceptualblending. TCL has been applied to applications ranging from #cognitivemodelling to #computationalcreativity & #recommendersystems.

Info @: https://www.antoniolieto.net/tcl_logic.htm