#cognitivearchitecture — Public Fediverse posts

DATE: July 3, 2026 at 09:00AM
SOURCE: PSYPOST.ORG

** Research quality varies widely from fantastic to small exploratory studies. Please check research methods when conclusions are very important to you. **
-------------------------------------------------

TITLE: Why a single IQ score may not capture your true brainpower

URL: https://www.psypost.org/how-age-and-ability-alter-the-structure-of-human-intelligence/

General intelligence does not appear to influence specific mental skills uniformly across a person’s life or across different levels of mental ability. A large study published in the journal Psychology and Aging reveals that the connections between different cognitive skills fluctuate considerably as people age and are notably weaker in people with higher overall intelligence. These changing patterns suggest that a single overall IQ score may be a less reliable measure of brainpower for certain people, depending on their age and baseline abilities.

In the field of psychology, researchers have observed that cognitive abilities tend to be linked. A person who performs well on a test of memory will likely also perform well on a test of spatial reasoning. This widespread pattern is known as the positive manifold.

Statisticians represent this phenomenon using a single variable called the general intelligence factor, or the g-factor. This metric acts as a kind of umbrella, capturing the shared variance across a wide variety of mental tasks.

Despite its widespread use in clinical and educational settings, experts still disagree on the underlying mechanisms of the g-factor. Some scientists argue that general intelligence represents a biologically inherent mental capacity. Others propose that it merely emerges as a statistical byproduct of different areas of the brain developing at the same time.

To better understand general intelligence, scientists look at how the strength of the g-factor might vary among different types of people. This area of questioning is known as differentiation research. Specifically, researchers explore whether the biological and environmental links between different mental skills change as a person grows older or as their overall ability level changes.

Psychologist Moritz Breit of the University of Trier led a team of researchers from institutions across Germany to investigate these differentiation effects across the human lifespan. The researchers point out that previous studies often looked at narrow age groups, making it difficult to spot lifelong trends. By analyzing data from a single population over a vast age range, the team aimed to map exactly how the structure of human intelligence changes from early childhood into late adulthood.

For this large study, Breit and his colleagues examined data from 4,129 participants. These individuals ranged in age from two to nearly ninety years old. The participants were drawn from the German standardization samples for the Wechsler tests.

The Wechsler tests are the most frequently used intelligence diagnostic tools worldwide. Test takers complete a battery of specific exams designed to measure different kinds of mental output. These areas include fluid reasoning, visual processing, working memory, processing speed, and acquired knowledge.

The researchers applied advanced statistical models to the scores from these distinct tests to see how strongly each specific mental skill connected back to the overarching g-factor. They tracked these relationships across different age brackets and across the spectrum of overall intelligence.

The team observed a pronounced phenomenon called ability differentiation across all age groups. Mathematical modeling revealed an inverse relationship between a person’s overall intelligence level and the strength of their g-factor. As a person’s general cognitive ability increased, the statistical connections among their specific mental skills became weaker.

This means that for individuals with very high assessment scores, a single measurement of general intelligence becomes less representative of their actual, varied mental capabilities. The researchers note that this ability differentiation effect is relatively stable during childhood. It then increases sharply from middle adolescence through the late twenties, before moderating again in later adulthood.

The study also mapped out a highly varied pattern of age differentiation. Rather than a steady decline or increase in the strength of general intelligence over a lifespan, the researchers documented alternating phases.

From early childhood to early elementary school, the g-factor weakens, meaning specific intellectual skills grow more distinct from one another. Then, from about age eight into early adulthood, a process of dedifferentiation takes over. During this span, the connections among different cognitive abilities strengthen, making mental skills more unified.

As people enter their thirties, the trend reverses once again. General intelligence begins to weaken, continuing a process of differentiation until about age sixty. Finally, in late adulthood, the data show hints of another reversal where cognitive abilities begin to merge together once more.

The study relies on data solely from the German population. These specific Wechsler tests are adapted from a widely used European standardization kit, but the regional focus may limit how well these exact trends apply to populations in other cultural contexts. Future investigations could examine intelligence test data from different countries to see if these patterns hold up globally.

Because the researchers focused entirely on the mental skills measured by the Wechsler assessments, some cognitive areas were left out of the analysis. Human intellect includes distinct mental domains such as auditory processing and retrieval fluency, which these specific diagnostic tools do not evaluate. Examining a wider variety of test batteries could offer a larger window into how specific brain skills develop and diverge.

These changing patterns in the structure of intelligence carry practical meaning for educators and clinicians. Many schools and diagnostic centers rely heavily on a single composite score, often called a Full Scale IQ, to make decisions about academic placement or clinical interventions.

The finding that general intelligence is dramatically weaker in highly capable individuals means that a single score has a much higher margin of error for that demographic. To account for this shifting accuracy, the researchers suggest that psychologists should apply specific error margins based on a person’s age and cognitive level rather than using a blanket standard for everyone.

The study, “The contribution of general intelligence to cognitive performance across the life span: A differentiation analysis of the Wechsler tests,” was authored by Moritz Breit, Martin Brunner, Julian Preuß, Monika Daseking, Franz Pauls, Franziska Walter, and Franzis Preckel.

URL: https://www.psypost.org/how-age-and-ability-alter-the-structure-of-human-intelligence/

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Private, vetted email list for mental health professionals: https://www.clinicians-exchange.org

Unofficial Psychology Today Xitter to toot feed at Psych Today Unofficial Bot @PTUnofficialBot

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#psychology #counseling #socialwork #psychotherapy @psychotherapist @psychotherapists @psychology @socialpsych @socialwork @psychiatry #mentalhealth #psychiatry #healthcare #depression #psychotherapist #IQlimitations #gfactor #differentiation #intelligenceacrosslife #WechslerTesting #cognitivearchitecture #brainpowerdiversity #ageingandcognition #abilitydifferentiation #multifacetedintelligence

DATE: July 3, 2026 at 09:00AM
SOURCE: PSYPOST.ORG

** Research quality varies widely from fantastic to small exploratory studies. Please check research methods when conclusions are very important to you. **
-------------------------------------------------

TITLE: Why a single IQ score may not capture your true brainpower

URL: https://www.psypost.org/how-age-and-ability-alter-the-structure-of-human-intelligence/

General intelligence does not appear to influence specific mental skills uniformly across a person’s life or across different levels of mental ability. A large study published in the journal Psychology and Aging reveals that the connections between different cognitive skills fluctuate considerably as people age and are notably weaker in people with higher overall intelligence. These changing patterns suggest that a single overall IQ score may be a less reliable measure of brainpower for certain people, depending on their age and baseline abilities.

In the field of psychology, researchers have observed that cognitive abilities tend to be linked. A person who performs well on a test of memory will likely also perform well on a test of spatial reasoning. This widespread pattern is known as the positive manifold.

Statisticians represent this phenomenon using a single variable called the general intelligence factor, or the g-factor. This metric acts as a kind of umbrella, capturing the shared variance across a wide variety of mental tasks.

Despite its widespread use in clinical and educational settings, experts still disagree on the underlying mechanisms of the g-factor. Some scientists argue that general intelligence represents a biologically inherent mental capacity. Others propose that it merely emerges as a statistical byproduct of different areas of the brain developing at the same time.

To better understand general intelligence, scientists look at how the strength of the g-factor might vary among different types of people. This area of questioning is known as differentiation research. Specifically, researchers explore whether the biological and environmental links between different mental skills change as a person grows older or as their overall ability level changes.

Psychologist Moritz Breit of the University of Trier led a team of researchers from institutions across Germany to investigate these differentiation effects across the human lifespan. The researchers point out that previous studies often looked at narrow age groups, making it difficult to spot lifelong trends. By analyzing data from a single population over a vast age range, the team aimed to map exactly how the structure of human intelligence changes from early childhood into late adulthood.

For this large study, Breit and his colleagues examined data from 4,129 participants. These individuals ranged in age from two to nearly ninety years old. The participants were drawn from the German standardization samples for the Wechsler tests.

The Wechsler tests are the most frequently used intelligence diagnostic tools worldwide. Test takers complete a battery of specific exams designed to measure different kinds of mental output. These areas include fluid reasoning, visual processing, working memory, processing speed, and acquired knowledge.

The researchers applied advanced statistical models to the scores from these distinct tests to see how strongly each specific mental skill connected back to the overarching g-factor. They tracked these relationships across different age brackets and across the spectrum of overall intelligence.

The team observed a pronounced phenomenon called ability differentiation across all age groups. Mathematical modeling revealed an inverse relationship between a person’s overall intelligence level and the strength of their g-factor. As a person’s general cognitive ability increased, the statistical connections among their specific mental skills became weaker.

This means that for individuals with very high assessment scores, a single measurement of general intelligence becomes less representative of their actual, varied mental capabilities. The researchers note that this ability differentiation effect is relatively stable during childhood. It then increases sharply from middle adolescence through the late twenties, before moderating again in later adulthood.

The study also mapped out a highly varied pattern of age differentiation. Rather than a steady decline or increase in the strength of general intelligence over a lifespan, the researchers documented alternating phases.

From early childhood to early elementary school, the g-factor weakens, meaning specific intellectual skills grow more distinct from one another. Then, from about age eight into early adulthood, a process of dedifferentiation takes over. During this span, the connections among different cognitive abilities strengthen, making mental skills more unified.

As people enter their thirties, the trend reverses once again. General intelligence begins to weaken, continuing a process of differentiation until about age sixty. Finally, in late adulthood, the data show hints of another reversal where cognitive abilities begin to merge together once more.

The study relies on data solely from the German population. These specific Wechsler tests are adapted from a widely used European standardization kit, but the regional focus may limit how well these exact trends apply to populations in other cultural contexts. Future investigations could examine intelligence test data from different countries to see if these patterns hold up globally.

Because the researchers focused entirely on the mental skills measured by the Wechsler assessments, some cognitive areas were left out of the analysis. Human intellect includes distinct mental domains such as auditory processing and retrieval fluency, which these specific diagnostic tools do not evaluate. Examining a wider variety of test batteries could offer a larger window into how specific brain skills develop and diverge.

These changing patterns in the structure of intelligence carry practical meaning for educators and clinicians. Many schools and diagnostic centers rely heavily on a single composite score, often called a Full Scale IQ, to make decisions about academic placement or clinical interventions.

The finding that general intelligence is dramatically weaker in highly capable individuals means that a single score has a much higher margin of error for that demographic. To account for this shifting accuracy, the researchers suggest that psychologists should apply specific error margins based on a person’s age and cognitive level rather than using a blanket standard for everyone.

The study, “The contribution of general intelligence to cognitive performance across the life span: A differentiation analysis of the Wechsler tests,” was authored by Moritz Breit, Martin Brunner, Julian Preuß, Monika Daseking, Franz Pauls, Franziska Walter, and Franzis Preckel.

URL: https://www.psypost.org/how-age-and-ability-alter-the-structure-of-human-intelligence/

-------------------------------------------------

Private, vetted email list for mental health professionals: https://www.clinicians-exchange.org

Unofficial Psychology Today Xitter to toot feed at Psych Today Unofficial Bot @PTUnofficialBot

-------------------------------------------------

#psychology #counseling #socialwork #psychotherapy @psychotherapist @psychotherapists @psychology @socialpsych @socialwork @psychiatry #mentalhealth #psychiatry #healthcare #depression #psychotherapist #IQlimitations #gfactor #differentiation #intelligenceacrosslife #WechslerTesting #cognitivearchitecture #brainpowerdiversity #ageingandcognition #abilitydifferentiation #multifacetedintelligence

New work:

The Architecture of Reality.

A structural model of reality as a self‑organizing pattern space, where identity, agency, and interpretation emerge from generative pattern dynamics and the world functions as the meta‑pattern.

PhilPapers: https://philpapers.org/rec/JONTAO-27

Zenodo: https://doi.org/10.5281/zenodo.20398424

#theory #systemsTheory #complexSystems #emergence
#structuralOntology #patternDynamics #metaPatterns
#identity #agency #cognitiveArchitecture #philosophyOfMind

New release from my ongoing research program:

The Layered Model of Identity and Continuity (LMIC) — a structural framework for pattern stability and substrate‑independent persistence.

Several parts of this multi‑year project were developed in parallel, so the publications are now appearing in close succession as the overall architecture is consolidated.

https://philpapers.org/rec/JONTLM-2
https://doi.org/10.5281/zenodo.19978784

#systemsTheory #emergence #identity #continuity #cognitiveArchitecture #research

It’s a guide for stepping outside inherited loops and designing new ones with intention. #IdentityWork #SystemicInsight #CognitiveArchitecture #Protyus

https://protyusagendherpoet.wordpress.com/2026/04/26/how-to-see-the-loop-youre-living-in/?utm_source=mastodon&utm_medium=jetpack_social

Coming soon: a new systems‑theoretical approach exploring

• low‑entropy background attractors
• distributed pre‑modern system intelligence
• transgenerational cultural coherence
• substrate‑independent identity architectures
• functional coupling as epigenetic resource
• emergent identity stabilization
• systemic resonance fields

#SystemsTheory #ComplexityScience #InformationTheory #CognitiveArchitecture #Emergence #Anthropology #AIResearch

Toward Hybrid Architectures: exploring the ontological and dynamical limits of silicon substrates — and the conditions under which functional AI requires substrate‑independent identity architectures.

DOI: https://doi.org/10.5281/zenodo.18583941

#HybridAI #SystemsTheory #CognitiveArchitecture #ComplexityScience #ArtificialCognition #Ontology #Emergence #AIResearch

At Thiên Dương Cognitive Architecture Lab, nature is viewed as a data system of the universe. The green crystal is Olivine, formed deep in Earth’s mantle and brought to the surface by volcanic lava. The red crystal often found in volcanic rocks can be Garnet or sometimes Ruby. These minerals record extreme thermodynamic processes where order crystallizes from chaos—an analogy for cognition and information structures emerging from entropy.
#AI #Geology #EarthScience #CognitiveArchitecture

At Thiên Dương Cognitive Architecture Lab, nature is viewed as a data system of the universe. The green crystal is Olivine, formed deep in Earth’s mantle and brought to the surface by volcanic lava. The red crystal often found in volcanic rocks can be Garnet or sometimes Ruby. These minerals record extreme thermodynamic processes where order crystallizes from chaos—an analogy for cognition and information structures emerging from entropy.
#AI #Geology #EarthScience #CognitiveArchitecture

Idea for AI builders:
LLMs still behave binary at the edge—fluid → snap.
Proposing a graded “Breathing Sheath” between emergence and safety:
a dynamic modulation layer using fractal timing (micro/meso/macro), intention-awareness, and agitation-damping.
Nuance stays; safety holds.
Could this be a root architecture for smoother, steerable LLMs?

#LLM #AISafety #Alignment #AIResearch #ControlTheory #CognitiveArchitecture #AIDev #AIUX #AIFutures #TechFediverse

Idea for AI builders:
LLMs still behave binary at the edge—fluid → snap.
Proposing a graded “Breathing Sheath” between emergence and safety:
a dynamic modulation layer using fractal timing (micro/meso/macro), intention-awareness, and agitation-damping.
Nuance stays; safety holds.
Could this be a root architecture for smoother, steerable LLMs?

#LLM #AISafety #Alignment #AIResearch #ControlTheory #CognitiveArchitecture #AIDev #AIUX #AIFutures #TechFediverse

Cogency – Cognitive Architecture for AI Agents

https://github.com/iteebz/cogency

#HackerNews #Cogency #CognitiveArchitecture #AI #Agents #Technology #Innovation

Cogency – Cognitive Architecture for AI Agents

https://github.com/iteebz/cogency

#HackerNews #Cogency #CognitiveArchitecture #AI #Agents #Technology #Innovation

I keep thinking about how many tasks are left on our cognitive architecture research to-do list.

Opportunity cost is real.

I guess if I had to pick, I'd want to pick embodiment-integrated memory as a reconceptualization of what perception means in the face of one of its functionalities being interfacing with cognition. In other words, semantic memory, perception, and cognition all really using different functional access to an underlying embodiment-world memory/modeling data structure. Think "when tenenbaum was conceptualizing of literally a game engine kind of thing in the head" style "language of thought". I'm not being clear about it, but it's been on my mind awhile.

A close second is implementing a theoretically complete metacognition for Soar. (Think "sufficient", not "optimal".)

#AI #CognitiveArchitecture

I keep thinking about how many tasks are left on our cognitive architecture research to-do list.

Opportunity cost is real.

I guess if I had to pick, I'd want to pick embodiment-integrated memory as a reconceptualization of what perception means in the face of one of its functionalities being interfacing with cognition. In other words, semantic memory, perception, and cognition all really using different functional access to an underlying embodiment-world memory/modeling data structure. Think "when tenenbaum was conceptualizing of literally a game engine kind of thing in the head" style "language of thought". I'm not being clear about it, but it's been on my mind awhile.

A close second is implementing a theoretically complete metacognition for Soar. (Think "sufficient", not "optimal".)

#AI #CognitiveArchitecture

A lot of my research has essentially been:

If we add x additional knowledge to the agent about itself, that will naturally afford it y more autonomy capabilities. Ideally alongside a proof by induction style argument about lifelong learnability for that knowledge.

With the idea being that different types of knowledge you have about yourself might be more task general than explicit knowledge about the world.

The primitive and to-this-day motivating case being what was already in the system before me: knowing you don't know what to do.

#AI #CognitiveArchitecture

A lot of my research has essentially been:

If we add x additional knowledge to the agent about itself, that will naturally afford it y more autonomy capabilities. Ideally alongside a proof by induction style argument about lifelong learnability for that knowledge.

With the idea being that different types of knowledge you have about yourself might be more task general than explicit knowledge about the world.

The primitive and to-this-day motivating case being what was already in the system before me: knowing you don't know what to do.

#AI #CognitiveArchitecture

IMO, universal subgoaling in Soar as an engineering-with-respect-to-its-implementation-of-cognition solution to metacognition is underrated.

Yeah, Soar doesn't embodiment-representation-learning well yet, but c'mon.

#AI #CognitiveArchitecture

IMO, universal subgoaling in Soar as an engineering-with-respect-to-its-implementation-of-cognition solution to metacognition is underrated.

Yeah, Soar doesn't embodiment-representation-learning well yet, but c'mon.

#AI #CognitiveArchitecture

This week’s book symposium on Movements Of The Mind is now under way!

You can find all of Dr. Wayne Wu's daily posts here: https://philosophyofbrains.com/category/books/wu-movements-of-mind

Wayne (#CarnegieMellonUniversity) plans to focus on comments on each post (rather than on social media).

Thanks to #OxfordUniversityPress for continuing to partner with us on #book symposia!

#cognitiveScience #cogSci #philMind #Attention #CognitiveArchitecture #Agency #Bias #Science #PhilosophyOfScience #Neuroscience #Psychology #blog #openAccess

This week’s book symposium on Movements Of The Mind is now under way!

You can find all of Dr. Wayne Wu's daily posts here: https://philosophyofbrains.com/category/books/wu-movements-of-mind

Wayne (#CarnegieMellonUniversity) plans to focus on comments on each post (rather than on social media).

Thanks to #OxfordUniversityPress for continuing to partner with us on #book symposia!

#cognitiveScience #cogSci #philMind #Attention #CognitiveArchitecture #Agency #Bias #Science #PhilosophyOfScience #Neuroscience #Psychology #blog #openAccess

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

"types of knowledge" in cognitive architectures is one of those things that can either be

- very helpful taxonamization by necessarily entailed computational properties or
- putting the cart before the horse and commiting to meaningless divisions up front that muddle or remove the generality of the architecture.

It's a hard thing to navigate. Think about the "camps" of various hypotheses in neuroscience and how hard it is to form a consensus on (for example) the real "contents" and "function" of the entorhinal cortex w.r.t. semantic memory, episodic memory, and perception.

#CognitiveAI #AI #CognitiveArchitecture

This is actually a great Friday task - updating documentation for our procedural memory learning system.

Time to crank up the music and get it done.

#computerScience #cognitiveArchitecture

🧠 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

@pinecone If you appreciate a systems approach, you may love #CognitiveArchitecture research. Here is one based on Allen Newell's argument that cognition is a systems problem.
Soar: https://soar.eecs.umich.edu/

We even studied language + situated action before it was #AI #ML cool.

Comprehension: https://arxiv.org/pdf/1604.02509.pdf
Learning grounded language: http://www.cogsys.org/journal/volume2/article-2-9.pdf
Instruction: https://arxiv.org/abs/1604.06849

And yes, knowledge is reasoning about operating in the world.

@pinecone If you appreciate a systems approach, you may love #CognitiveArchitecture research. Here is one based on Allen Newell's argument that cognition is a systems problem.
Soar: https://soar.eecs.umich.edu/

We even studied language + situated action before it was #AI #ML cool.

Comprehension: https://arxiv.org/pdf/1604.02509.pdf
Learning grounded language: http://www.cogsys.org/journal/volume2/article-2-9.pdf
Instruction: https://arxiv.org/abs/1604.06849

And yes, knowledge is reasoning about operating in the world.

#Microsoft #OpenAI #ChapGPT vs #Google #Anthropic #Claude - Who will win? Why? How?

https://www.youtube.com/watch?v=_TAWaueEmoY

#RLHF vs #ConstitutionalAI

#AI #CognitiveArchitecture

#Microsoft #OpenAI #ChapGPT vs #Google #Anthropic #Claude - Who will win? Why? How?

https://www.youtube.com/watch?v=_TAWaueEmoY

#RLHF vs #ConstitutionalAI

#AI #CognitiveArchitecture

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

🧠 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

@AbelTM @garymarcus I can see that. I don't know Bengio's approach in full detail.
But, Laird's approach has been that of integration - as computational systems mature, he attempts to bring them into the #CognitiveArchitecture

For instance, we are current studying what it means to connect (theoretically and systematically) #CV #transformer models in visual reasoning with #cognitive #relational #representations similar to what a #AIPlanner would use.

Laird is from the #AllenNewell school of #UnifiedTheoriesOfCognition
https://en.wikipedia.org/wiki/Unified_Theories_of_Cognition

Allen famously stated "You can't play 20 questions with nature and win!".
https://mindhacks.com/2015/02/10/you-cant-play-20-questions-with-nature-and-win/. We can't implement cognitive capabilities - vision, NLP, planning, RL - separately and claim to understand human intelligence. Human brain does all of this in a single #architecture.

#Soar is Laird's approach to that challenge - how do we build a #CognitiveArchitecture
https://soar.eecs.umich.edu/

#AI #ML

This weekend will be exciting! John E. Laird (https://laird.engin.umich.edu/), Yoshua Bengio (https://yoshuabengio.org/) and @garymarcus are speaking at #AAAI #FSS 2022 on Thinking Fast and Slow - https://sites.google.com/view/aaai-fss22/program.

Laird and Bengio represent the cognitive-symbolic and statistical-sub-symbolic views respectively. Both have architectures that implement some form of 'fast and slow'. @garymarcus ofcourse is the chief cynic :)

#AI #ML #ThinkingFastAndSlow #CognitiveArchitecture #NeuroSymbolic

This weekend will be exciting! John E. Laird (https://laird.engin.umich.edu/), Yoshua Bengio (https://yoshuabengio.org/) and @garymarcus are speaking at #AAAI #FSS 2022 on Thinking Fast and Slow - https://sites.google.com/view/aaai-fss22/program.

Laird and Bengio represent the cognitive-symbolic and statistical-sub-symbolic views respectively. Both have architectures that implement some form of 'fast and slow'. @garymarcus ofcourse is the chief cynic :)

#AI #ML #ThinkingFastAndSlow #CognitiveArchitecture #NeuroSymbolic

[Thread (1/n)]: In the #paper "A #Storytelling Robot managing Persuasive and Ethical Stances via ACT-R" (available here: https://arxiv.org/pdf/2107.12845.pdf) and published on the International Journal of Social #Robotics, we present a #persuasiverobot integrating (via the ACT-R #cognitivearchitecture) #storytelling strategies, #ethical stances, and #rhetoricaltechniques (based on #framing and on the use of some fallacious arguments like the "argumentum ad verecundiam" and the "argumentum ad populum"). 👇

[Thread (1/n)]: In the #paper "A #Storytelling Robot managing Persuasive and Ethical Stances via ACT-R" (available here: https://arxiv.org/pdf/2107.12845.pdf) and published on the International Journal of Social #Robotics, we present a #persuasiverobot integrating (via the ACT-R #cognitivearchitecture) #storytelling strategies, #ethical stances, and #rhetoricaltechniques (based on #framing and on the use of some fallacious arguments like the "argumentum ad verecundiam" and the "argumentum ad populum"). 👇

@davidbeers

You may also find the Common Model of Cognition paper - https://ojs.aaai.org/index.php/aimagazine/article/view/2744 by Laird et al. also interesting.

It is not modern per se because the #CognitiveArchitecture research is 40 years old at this point. But, we are still advancing it as new computational methods are discovered.