welcome

đź« Aspirational AGIđź« 

(Somewhat under construction)

Announcement

!

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Janne P. Hukkinen

Cognitive AGI-Roboticist

What we cannot build, we do not understand
We have all the tools

Motto: What helps AGI-Robot developement?

How to operationalize towards highger-order cognition?

hierarchical behavior learning through 4E cognition, causal hardware, and AI/ML

scaffolded/curriculum learning of motor control and world models

implementation informed cognitive theory developement

Hands on experience

Working on [notes from building]

  • 2026:
    • september–: robot hand mechanical design
    • april–june: theoretical fundamental research on tractable modular cognition
    • march: what if we just engineer the robot sofware infrastructure (and existing SoA techniques) first?
      • docker jazzy-ROS2 non-Multicast UDP discovery and connectiontion via OpenVPN to android mobile app works!
    • robot hand build-informed theory development
      • robot cognition design. started from bottom up
      • meh, mammal motor control is too complex
  • 2025: robot hand build-informed theory development
    • AGI & cognitive theories are best developed by buildng grounded systems and replicating behavior and operationalized cognitive capacities
    • designing and building robot hand as a "causal learning testbed" and technology demonstration...
    • ...
  • 2024 autumn:
    • AI robot problem defenition: essential capacities
      • ...
  • 2024 summer hands-on project: implementation-first approach to operationalizing theoretical concepts
    • debugging, compiling.. re-built it OMFG!!!1 – video, audio, and acceleration sensors for robotics ready to use
  • 2024 prospecting PhD studies
    • research question, tentative: how slow explicit system 2 reasoning and problem solving [in LLM space] can be automatized to fast system 1 'scaffoldable' capacities?
    • research motto and orienting big question: how AGI robot could be implemented?
    • for a possible explanatory goal, what causal pattern offers explanation – explanatory pluralism FTW
      • [x] how to reason and solve problems in system 2 using LLM's and a set of ML modules?
      • [x] how to implement cognitive scaffolding?
      • [x] what kind of representations constitute whats-it-like reality?
      • [ ] goal: consciousness. explanation: aligment of biological/human and artificial consciousness
      • [ ] ...
    • [pass] cognitive architectures
    • [x] OODA / Sense Think Act Loops
    • [ ] sensory, motor, and cognitive capacities
    • ...
    • big & interesting questions:
      • what are the first principles of cognition?
      • labor-division and orchestration problems of cognitive architectures: for a particular cognitive tasks/work..
        • what kind of set of cognitive modules are needed: amount, individual roles, and capacities?
        • how the processing of modules should be organized in order to fulfil a set of desired high-level goals/tasks/work/end states?
    • interesting questions:
      • grounding mechanisms in science and philosophy
  • 2023 AGI (artificial general intelligence)
    • systemic underpinnigns, constraints, assumptions, and cognitive design tools
    • how much world knowledge can be pumped out of large language models?
    • how to orchestrate a modular cognitive agent / system?
    • world knowledge & understanding: representations in latent embedding space, how far we can get with tera byte language data, and respective Transformer/GPT-3 language models? When is embodied, enacted, and situated grounding needed, if ever?
    • do we need cognitive theory any more? how can it inform us?
      • theory, cognitive architecture, design & evaluation framework
      • what is known and unknown?
      • curriculum learning / critical developmental periods

Publications & Presentations

    h-index: 2 1
  • Hukkinen, J. P. (2026, June 4–5). Beyond Intuition Pumps – Towards Operationalizing AGI: Causal Chamber, Tractability, and the “Cognitive Execution Substrate” Problem [Oral presentation]. CogSci Days of Finnish Cognitive Science Society & AIdemoc Project at Helsinki University, Helsinki, Finland.
  • Hukkinen, J. P. (2022). Towards a Checklist of AGI Implementation – Can a Critic Become a Solutionist?
    Poster.html, A4 PDF, A1 .PDF, .svg to to Mind and Matter 2022 conference. Helsinki.
  • Oulasvirta, A., Hukkinen, J. P., & Schwartz, B. (2009). When more is less: The paradox of choice in search engine use. Proceedings of the 32nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 516–523. https://doi.org/10.1145/1571941.1572030

Education

  • MA (cognitive science. minor: computer science)
  • BA (cognitive science. minor: theoretical philosophy)

Profiles


Contact

Contact

  • email: Janne-94ca (a) inrobotico.com

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