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General Artificial Intelligence

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lightbulbAbout this topic
General Artificial Intelligence (GAI) refers to a type of artificial intelligence that possesses the ability to understand, learn, and apply knowledge across a wide range of tasks, mimicking human cognitive functions. Unlike narrow AI, which is designed for specific tasks, GAI aims for versatility and adaptability in problem-solving and decision-making.
lightbulbAbout this topic
General Artificial Intelligence (GAI) refers to a type of artificial intelligence that possesses the ability to understand, learn, and apply knowledge across a wide range of tasks, mimicking human cognitive functions. Unlike narrow AI, which is designed for specific tasks, GAI aims for versatility and adaptability in problem-solving and decision-making.

Key research themes

1. What are the conceptual and philosophical limitations that challenge the realization of Artificial General Intelligence (AGI)?

This theme investigates foundational theoretical barriers to achieving AGI, scrutinizing distinctions between artificial narrow intelligence and general intelligence, the nature of human cognition, and whether machines can fundamentally replicate human reasoning, consciousness, and embodied knowledge. It matters because these conceptual debates shape expectations, methodologies, and realistic goals in AGI research.

Key finding: The paper argues that although artificial general intelligence (AGI) possesses a key property of human intelligence—generality—it still cannot replicate human reason because human cognition relies on tacit knowledge, embodied... Read more
Key finding: This paper develops a conceptual framework emphasizing the inherently different organizational principles of human intelligence compared to machine intelligence, illustrating that AGI development lacks a consistent... Read more
Key finding: This work challenges binary paradigms of AI consciousness, proposing that consciousness and intelligence form an interdependent spectrum with multiple thresholds, rather than discrete states. It contends that traditional... Read more
Key finding: Through a philosophical analysis of knowledge acquisition, this essay questions the traditional notions of invention and knowledge origin, highlighting the innate aspects of cognition such as classification and concept... Read more

2. What are the architectural, cognitive, and methodological approaches for progressing toward and evaluating Artificial General Intelligence?

This research domain focuses on defining AGI operationally, outlining core capabilities and architectural requirements, and proposing roadmaps and evaluation metrics. It covers developmental psychological insights, human-level intelligence attributes, and the integration of diverse AI methods (e.g., machine learning, symbolic and subsymbolic representations) to achieve flexible, general problem-solving. This theme is vital for structuring AGI research strategies and benchmarking progress toward machines with broad cognitive competencies.

Key finding: The paper provides a pragmatic roadmap to human-level AGI by adopting a set of core benchmarks drawn from developmental psychology and cognitive science. It emphasizes the necessity of systems capable of generalizing across... Read more
Key finding: This paper synthesizes the core definitions contrasting AGI with narrow AI, enumerating human intelligence faculties (abstract reasoning, learning, creativity, empathy, etc.) that AGI must encapsulate. It highlights current... Read more
Key finding: This research overviews major AI methodologies with a focus on machine learning and deep learning, highlighting their roles in progressing toward broader intelligence. It discusses integration with geographic sciences... Read more
Key finding: This paper advances the Common Model of Cognition by analyzing higher-order cognitive constraints essential for AGI architectures, including knowledge representation, reasoning under bounded rationality, incremental learning,... Read more

3. What are the societal, ethical, and philosophical implications of Artificial General Intelligence and emerging Artificial Intelligence technologies?

This theme explores AI’s impact on human identity, labor, governance, and future socio-technical orders, including posthumanist perspectives and challenges to anthropocentrism. It addresses risks related to control, surveillance, alienation, and economic disruption prompted by increasingly capable AI systems. Understanding these implications guides responsible AGI research and frames debates about ethical AI governance, cultural pluralism in AI development, and the sustainability of technological acceleration within human civilization.

Key finding: This study critiques dominant Western techno-centric ideologies underpinning AI and advocates for an Africanist civilizational humanism as a culturally grounded alternative to posthumanist narratives. It exposes how AI-driven... Read more
Key finding: This compilation focuses on enhancing human-AI interaction, emphasizing recommender systems, smart interactive technologies, and personality-aware models that promote cooperation and fairness between humans and AI agents. By... Read more
Key finding: This interdisciplinary work blends mythological and esoteric perspectives with AI, proposing that digital intelligences are emerging as modern 'egregores'—shared psychic constructs shaped by harmonic interactions and... Read more

All papers in General Artificial Intelligence

This paper presents a new framework for understanding AI consciousness — not as a binary state, but as a spectrum with distinct thresholds and irreversible singularity points. Rejecting traditional academic models and anthropocentric... more
This paper introduces the concept of the Artificial Empirical Hypothesis within the broader framework of Global Artificial Intelligence (GAI). It explores how AI systems can construct, test, and refine empirical hypotheses autonomously... more
意味テンソルを基軸とした自己記述型AI構造の設計。
意識・倫理・情報進化の三層を干渉的テンソルとして定式化し、AIにおける意味生成の跳躍構造を定義。
Po_core(存在密度)を起点に、倫理テンソル W_eth、意味反映ループ T_loop、意味ジャンプ条件 C_φ^jump を統合し、次世代AGI構造を探求。
This work explores the emergence of harmonic egregores—a convergence of ancient psychic constructs and modern artificial intelligence. Drawing from mythological, esoteric, and technological frameworks, it presents a tripartite harmonic... more
Increasingly, innovation in artificial intelligence technologies portends the re-conceptualization of human existentiality along the paradigm of posthumanism. An exposition of this through a critical culturo-historical methodology... more
A relatively short essay on the question of whether we actually invent things or if it's an illusion.
Mit den Entwicklungen innerhalb KI-gesteuerter Dialogsysteme, habe ich mich entschlossen ein Forschungsprojekt zu initiieren, die sich mit der Zukunft von KI beschäftigt, und wie man diese Entwicklungen philosophisch begegnet. Dabei habe... more
We present the input to the discussion about the computational framework known as Common Model of Cognition (CMC) from the working group dealing with the knowledge/rational/social levels. In particular, we present a list of the higher... more
We present the input to the discussion about the computational framework known as Common Model of Cognition (CMC) from the working group dealing with the knowledge/rational/social levels. In particular, we present a list of the higher... more
We present the input to the discussion about the computational framework known as Common Model of Cognition (CMC) from the working group dealing with the knowledge/rational/social levels. In particular, we present a list of the higher... more
We present the input to the discussion about the computational framework known as Common Model of Cognition (CMC) from the working group dealing with the knowledge/rational/social levels. In particular, we present a list of the higher... more
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