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        <dc:date>2024-06-28T12:29:26+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>bra-driven_development</title>
        <link>https://wba-initiative.org/wiki/en/bra-driven_development?rev=1719577766&amp;do=diff</link>
        <description>Brain Reference Architecture (BRA)-driven Development

BRA-driven development is a methodology for developing software to build AGI from a whole-brain architecture approach, and is a method for building software that reproduces human cognitive functions by referring to the neural circuits of the entire brain [1].  It has the excellent feature of being able to construct hypotheses about brain functions that are not necessarily obvious over a relatively wide area with the</description>
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        <dc:date>2021-12-13T13:23:37+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>brain_information_flow</title>
        <link>https://wba-initiative.org/wiki/en/brain_information_flow?rev=1639401817&amp;do=diff</link>
        <description>Brain Information Flow Diagram (BIF)

WBAI proposes the Brain Information Flow Diagram (BIF) as a format for describing and sharing the whole brain architecture (cf. information flow diagram).

See also  Brain Reference Architecture (BRA)

Overview

BIF is composed of Circuits and Connections between them.
A Circuit corresponds to a population of neurons, an organ in the brain such as the hippocampus, or a circuit consisting of brain organs, to perform a certain function.</description>
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        <dc:date>2021-12-11T01:36:41+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>brain_organs</title>
        <link>https://wba-initiative.org/wiki/en/brain_organs?rev=1639186601&amp;do=diff</link>
        <description>Brain Organs

As the WBA Product specification requires a WBA model to have correspondence with actual brain organs, 
this page refers to them to give an &#039;image&#039; of WBA.
 A WBA model would have to incorporate at least the first three components (the perceptual system, the hippocampus, and the pre-frontal-cortex-basal-ganglia-thalamus loop).</description>
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        <dc:date>2024-06-29T00:09:38+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>brain_reference_architecture_editorial_system</title>
        <link>https://wba-initiative.org/wiki/en/brain_reference_architecture_editorial_system?rev=1719619778&amp;do=diff</link>
        <description>Brain Reference Architecture Editorial System (BRAES)

Portal Site

Brain Reference Architecture Editorial System  (BRAES)

Definition

BRAES is an online platform for the creation, submission, review, and publication of  Brain Reference Architecture (BRA)  data. Developed by the Whole Brain Architecture Initiative (WBAI), it aims to facilitate the development of brain-inspired software based on brain reverse engineering.</description>
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    <item rdf:about="https://wba-initiative.org/wiki/en/brain_reference_architecture?rev=1719118944&amp;do=diff">
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        <dc:date>2024-06-23T05:02:24+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>brain_reference_architecture</title>
        <link>https://wba-initiative.org/wiki/en/brain_reference_architecture?rev=1719118944&amp;do=diff</link>
        <description>Brain Reference Architecture (BRA)

WBAI had released the manual for preparing Brain Reference Architecture (BRA) as the standard notation for guiding the development of brain-inspired software .  BRA is design data based on the mesoscopic anatomical  structure of the brain, providing mainly structural specifications for software as well as functional hypotheses and neural phenomena [1].</description>
    </item>
    <item rdf:about="https://wba-initiative.org/wiki/en/brica_language?rev=1455675049&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2016-02-17T02:10:49+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>brica_language</title>
        <link>https://wba-initiative.org/wiki/en/brica_language?rev=1455675049&amp;do=diff</link>
        <description>The BriCA Language

The BriCA language is a Domain Specific Language (DSL)/Architecture Description Language (ADL) for describing modules and message passing routes in computing architecture.

More specifically, it describes modules, ports on the modules, and connections among the ports.</description>
    </item>
    <item rdf:about="https://wba-initiative.org/wiki/en/brica_platform?rev=1674364737&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2023-01-22T05:18:57+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>brica_platform</title>
        <link>https://wba-initiative.org/wiki/en/brica_platform?rev=1674364737&amp;do=diff</link>
        <description>BriCA Platform

The BriCA Platform is a collection of software modules to develop brain-inspired cognitive architecture with BriCA to be run on OpenAI Gym.

Modules

The BriCA Platform contains the following modules:

	*  BriCA1: the BriCA core to describe and run brain-inspired cognitive architectures (in Python).</description>
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    <item rdf:about="https://wba-initiative.org/wiki/en/brica?rev=1651047633&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2022-04-27T08:20:33+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>brica</title>
        <link>https://wba-initiative.org/wiki/en/brica?rev=1651047633&amp;do=diff</link>
        <description>BriCA

BriCA (Brain-inspired Computing Architecture)

Modules in BriCA work in realtime while passing messages in numeric vectors.

Version 1
is the standing version implemented in Python (Source Code).

Here is Version 2 (pip) (under development).

BriCA Language is used to describe modular architecture in an abstract form.</description>
    </item>
    <item rdf:about="https://wba-initiative.org/wiki/en/ccnbook-executive_summary?rev=1527988469&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2018-06-03T01:14:29+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>ccnbook-executive_summary</title>
        <link>https://wba-initiative.org/wiki/en/ccnbook-executive_summary?rev=1527988469&amp;do=diff</link>
        <description>CCNBook Executive-PBWM in a Nutshell

This article tries to summarize the PBWM (Prefrontal cortex Basal ganglia Working Memory) model in the Executive chapter of the CCNBook.  The PBWM model is further explained in O’Reilly &amp; Frank’s paper: Making Working Memory Work: A Computational Model of Learning in the Prefrontal Cortex and Basal Ganglia, Neural Comput., 18(2) (2006). 
Here are points:</description>
    </item>
    <item rdf:about="https://wba-initiative.org/wiki/en/ccnbook-motor_summary?rev=1527946339&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2018-06-02T13:32:19+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>ccnbook-motor_summary</title>
        <link>https://wba-initiative.org/wiki/en/ccnbook-motor_summary?rev=1527946339&amp;do=diff</link>
        <description>CCNBook Motor in a Nutshell

The aim of this article is to present an actor-critic model based on the CCNBook.  As the description of reinforcement learning in the Motor chapter seems a bit ‘roundabout’, this memo tries to simplify it. 

----------

The chapter is based on the hypothesis that</description>
    </item>
    <item rdf:about="https://wba-initiative.org/wiki/en/collaboration_with_wbai?rev=1582963642&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2020-02-29T08:07:22+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>collaboration_with_wbai</title>
        <link>https://wba-initiative.org/wiki/en/collaboration_with_wbai?rev=1582963642&amp;do=diff</link>
        <description>Collaborating with WBAI

As an NPO, WBAI welcome your collaboration.

There are many ways to collaborate with us.

	*  Sponsoring
We always welcome your sponsoring \^_^/.
You can also propose WBA related projects/events to sponsor.
If you are interested, please</description>
    </item>
    <item rdf:about="https://wba-initiative.org/wiki/en/events?rev=1582962230&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2020-02-29T07:43:50+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>events</title>
        <link>https://wba-initiative.org/wiki/en/events?rev=1582962230&amp;do=diff</link>
        <description>Hackathons

	*  Hackathons

Other

	*  WBA Symposium at the 28th Annual Conference of the Japanese Neural Network (JNNS2018; The proceedings are available here.)
	*  ICONIP 2016 Special Session on WBA (@ Kyoto, Japan, 2016-10)
	*  BICA 2015 WBA Session (@Lyon, France, 2015-11-07)
 See our introductory slides at the session.</description>
    </item>
    <item rdf:about="https://wba-initiative.org/wiki/en/hackathon_2015?rev=1453860003&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2016-01-27T02:00:03+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>hackathon_2015</title>
        <link>https://wba-initiative.org/wiki/en/hackathon_2015?rev=1453860003&amp;do=diff</link>
        <description>The first WBA hackathon was held in September 2015, organized by the Future Leaders of WBA and WBAI.

	*  Date: 2015-09-19...23
	*  Venue: Hiyoshi Campus, Keio University (Yokohama, Japan)
	*  Participants: seven teams (23 hackers) and 12 mentors
	*  Purpose: developing know-how and skills on using multiple machine learning modules</description>
    </item>
    <item rdf:about="https://wba-initiative.org/wiki/en/links?rev=1639401948&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2021-12-13T13:25:48+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>links</title>
        <link>https://wba-initiative.org/wiki/en/links?rev=1639401948&amp;do=diff</link>
        <description>Links

	*  The Whole Brain Architecture Initiative
	*  Project AGI WBAI&#039;s official partner
	*  Animal-AI Olympics
	*  Future of Life Institute (FLI)
	*  BICA Society
	*  AGI Society
	*  The Computational Cognitive Neuroscience Book
	*   Metarelation Mining</description>
    </item>
    <item rdf:about="https://wba-initiative.org/wiki/en/list_of_models?rev=1639190786&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2021-12-11T02:46:26+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>list_of_models</title>
        <link>https://wba-initiative.org/wiki/en/list_of_models?rev=1639190786&amp;do=diff</link>
        <description>List of Models

Legend

	*  Author&#039;s name(s)(* if done around WBAI): model name with a link (year), implementation link, BRA  

Cortex-Basal Ganglia-Thalamic Loop

	*  Bogacz, R. et al.: The Basal Ganglia and Cortex Implement Optimal Decision Making Between Alternative Actions (2007),,
	*  Dunovan, K. et al.: Believer-Skeptic Meets Actor-Critic: Rethinking the Role of Basal Ganglia Pathways during Decision-Making and Reinforcement Learning (2016),,
	*  Arakawa*: A Minimal Cortex-Basal Ganglia Ar…</description>
    </item>
    <item rdf:about="https://wba-initiative.org/wiki/en/metarelation_mining?rev=1630402499&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2021-08-31T09:34:59+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>metarelation_mining</title>
        <link>https://wba-initiative.org/wiki/en/metarelation_mining?rev=1630402499&amp;do=diff</link>
        <description>Metarelation Mining

Technology Overview

Metarelation mining is a process used to find “relations of relations.” We focus on relations between sequences where their roles (attributes) are unknown. In this case, metarelations of interest are relations between such relations. A technique for metarelation mining we focus on is called</description>
    </item>
    <item rdf:about="https://wba-initiative.org/wiki/en/roadmap?rev=1760503669&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2025-10-15T04:47:49+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>roadmap</title>
        <link>https://wba-initiative.org/wiki/en/roadmap?rev=1760503669&amp;do=diff</link>
        <description>Roadmap as of June 2024 

For explanation, see here.  

Paper: Technology Roadmap Toward the Completion of Whole-Brain Architecture with Bra-Driven Development



Roadmap as of September 2021 

For explanation, see here.  



----------

The WBA roadmap circa 2015:</description>
    </item>
    <item rdf:about="https://wba-initiative.org/wiki/en/robot_simulator?rev=1546046504&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2018-12-29T01:21:44+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>robot_simulator</title>
        <link>https://wba-initiative.org/wiki/en/robot_simulator?rev=1546046504&amp;do=diff</link>
        <description>Robot Simulator

Robotic simulators can be used as virtual environment in which AGI (wannabe) systems are trained and evaluated.

This page describes desired specifications of the robotic simulator to be used around WBAI.
 Please also check our request for research:</description>
    </item>
    <item rdf:about="https://wba-initiative.org/wiki/en/scid_method?rev=1719121014&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2024-06-23T05:36:54+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>scid_method</title>
        <link>https://wba-initiative.org/wiki/en/scid_method?rev=1719121014&amp;do=diff</link>
        <description>Structure-Constrained Interface Decomposition (SCID) Method

The SCID method is a design methodology for BRA, the central technique of BRA-driven development developed in WBAI.

SCID Steps:
*Step.1 and Step.2 are iterative.

Step 1: BIF construction: Investigation of anatomical knowledge in the ROI</description>
    </item>
    <item rdf:about="https://wba-initiative.org/wiki/en/shcom?rev=1657077160&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2022-07-06T03:12:40+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>shcom</title>
        <link>https://wba-initiative.org/wiki/en/shcom?rev=1657077160&amp;do=diff</link>
        <description>SHCOM

Supplemented Human Connectome with Other Mammals&#039;

SHCOM is the most probable hypothesis about the connections between regions at the mesoscopic level in the human brain, containing information about the direction of connections, feedback/feedforward specifications in the neocortical connections, and the (average) number of axons.</description>
    </item>
    <item rdf:about="https://wba-initiative.org/wiki/en/sidebar?rev=1639401733&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2021-12-13T13:22:13+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>sidebar</title>
        <link>https://wba-initiative.org/wiki/en/sidebar?rev=1639401733&amp;do=diff</link>
        <description>WBA Wiki

	*  Top
	*  The Core WBA Hypothesis
	*  Roadmap
	*   Brain Reference Architecture (BRA)
	*  Brain Information Flow
	*  BriCA
	*  Collaborating with WBAI
	*  WBA Product
	*  Brain Organs
	*  List of Models
	*  Events

References

	*  Links
	*  FAQs
	*  Books &amp; Articles
	*  Wiki Guideline</description>
    </item>
    <item rdf:about="https://wba-initiative.org/wiki/en/start?rev=1653618654&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2022-05-27T02:30:54+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>start</title>
        <link>https://wba-initiative.org/wiki/en/start?rev=1653618654&amp;do=diff</link>
        <description>WBA Wiki Top

This is the English Wiki site for the Whole Brain Architecture Initiative.

	*  Please follow links from the sidebar!</description>
    </item>
    <item rdf:about="https://wba-initiative.org/wiki/en/the_core_wba_hypothesis?rev=1443855189&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2015-10-03T06:53:09+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>the_core_wba_hypothesis</title>
        <link>https://wba-initiative.org/wiki/en/the_core_wba_hypothesis?rev=1443855189&amp;do=diff</link>
        <description>The Core WBA Hypothesis

is the hypothesis:

“The brain combines modules, each of which can be modeled with a machine learning algorithm, to attain its functionalities, so that combining machine learning modules in the way the brain does enables us to construct a generally intelligent machine with human-level or super-human cognitive capabilities.</description>
    </item>
    <item rdf:about="https://wba-initiative.org/wiki/en/wba_product?rev=1582961901&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2020-02-29T07:38:21+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>wba_product</title>
        <link>https://wba-initiative.org/wiki/en/wba_product?rev=1582961901&amp;do=diff</link>
        <description>WBA Product

This page defines the product/output of WBAI related research/development.

The Whole Brain Architecture Specifications

According to The Core WBA Hypothesis, a WBAI related work should be concerned with a cognitive architecture satisfying the following conditions:</description>
    </item>
    <item rdf:about="https://wba-initiative.org/wiki/en/whole_brain_connectomic_architecture?rev=1657076724&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2022-07-06T03:05:24+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>whole_brain_connectomic_architecture</title>
        <link>https://wba-initiative.org/wiki/en/whole_brain_connectomic_architecture?rev=1657076724&amp;do=diff</link>
        <description>Whole Brain Connectomic Architecture (WBCA)

Whole Brain Connectomic Architecture is schematic WBA based on connectomes.

It is quasi synonymous with Whole Brain Reference Architecture (WBRA).

AGI development would become more efficient by constraining connections among machine learning modules with connectomic information. It is described hierarchically, as the precision depends on factors such as the function of AGI, the taste of the developer, and the available power of computation.  Most co…</description>
    </item>
    <item rdf:about="https://wba-initiative.org/wiki/en/whole_brain_reference_architecture?rev=1483516936&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2017-01-04T08:02:16+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>whole_brain_reference_architecture</title>
        <link>https://wba-initiative.org/wiki/en/whole_brain_reference_architecture?rev=1483516936&amp;do=diff</link>
        <description>Whole Brain Reference Architecture (WBRA)

Whole Brain Reference Architecture is schematic WBA based on connectomes.

It is quasi synonymous with Whole Brain Connectomic Architecture (WBCA).

	*  Rodent WBRA
Connectomes are available such as
			*  &quot;A mesoscale connectome of the mouse brain&quot;, nature (2014)

	*  Human WBRA
			*  Connectomes are available from projects like</description>
    </item>
</rdf:RDF>
