Computational Concept of the Psyche (in Russian)
- URL: http://arxiv.org/abs/2509.07009v2
- Date: Wed, 10 Sep 2025 07:42:47 GMT
- Title: Computational Concept of the Psyche (in Russian)
- Authors: Anton Kolonin, Vladimir Kryukov,
- Abstract summary: The article provides an overview of approaches to modeling the human psyche in the perspective of building an artificial one.<n>A concept of cognitive architecture is proposed, where psyche is considered as an operating system of a living or artificial subject.
- Score: 0.12891210250935145
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: The article provides an overview of approaches to modeling the human psyche in the perspective of building an artificial one. Based on the review, a concept of cognitive architecture is proposed, where the psyche is considered as an operating system of a living or artificial subject, including a space of needs that determines its life meanings in connection with stimuli from the external world, and intelligence as a decision-making system for actions in relation to this world in order to satisfy these needs. Based on the concept, a computational formalization is proposed for creating artificial intelligence systems through learning from experience in the space of a space of needs, taking into account their biological or existential significance for an intelligent agent. Thus, the problem of building general artificial intelligence as a system for making optimal decisions in the space of agent-specific needs under conditions of uncertainty is formalized, with maximization of success in achieving goals, minimization of existential risks and maximization of energy efficiency. A minimal experimental implementation of the model is also provided.
Related papers
- Evolving Cognitive Architectures [51.56484100374058]
This article proposes a research and development direction that would lead to the creation of next-generation intelligent technical systems.<n>A distinctive feature of these systems is their ability to undergo evolutionary change.
arXiv Detail & Related papers (2025-12-29T10:09:20Z) - Model of human cognition [0.0]
We propose a neuro-theoretical framework for the emergence of intelligence in systems that is both functionally robust and biologically plausible.<n>The model provides theoretical insights into cognitive processes such as decision-making and problem solving, and a computationally efficient approach for the creation of explainable and generalizable artificial intelligence.
arXiv Detail & Related papers (2025-11-30T00:57:32Z) - Neural Brain: A Neuroscience-inspired Framework for Embodied Agents [58.58177409853298]
Current AI systems, such as large language models, remain disembodied, unable to physically engage with the world.<n>At the core of this challenge lies the concept of Neural Brain, a central intelligence system designed to drive embodied agents with human-like adaptability.<n>This paper introduces a unified framework for the Neural Brain of embodied agents, addressing two fundamental challenges.
arXiv Detail & Related papers (2025-05-12T15:05:34Z) - Nature's Insight: A Novel Framework and Comprehensive Analysis of Agentic Reasoning Through the Lens of Neuroscience [11.174550573411008]
We propose a novel neuroscience-inspired framework for agentic reasoning.<n>We apply this framework to systematically classify and analyze existing AI reasoning methods.<n>We propose new neural-inspired reasoning methods, analogous to chain-of-thought prompting.
arXiv Detail & Related papers (2025-05-07T14:25:46Z) - Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems [132.77459963706437]
This book provides a comprehensive overview, framing intelligent agents within modular, brain-inspired architectures.<n>It explores self-enhancement and adaptive evolution mechanisms, exploring how agents autonomously refine their capabilities.<n>It also examines the collective intelligence emerging from agent interactions, cooperation, and societal structures.
arXiv Detail & Related papers (2025-03-31T18:00:29Z) - Emergence of Self-Awareness in Artificial Systems: A Minimalist Three-Layer Approach to Artificial Consciousness [0.0]
This paper proposes a minimalist three-layer model for artificial consciousness, focusing on the emergence of self-awareness.<n>Unlike brain-replication approaches, we aim to achieve minimal self-awareness through essential elements only.
arXiv Detail & Related papers (2025-02-04T10:06:25Z) - Brain-inspired AI Agent: The Way Towards AGI [5.867107330135988]
Researchers in brain-inspired AI seek inspiration from the operational mechanisms of the human brain, aiming to replicate its functional rules in intelligent models.<n>We propose the concept of a brain-inspired AI agent and analyze how to extract relatively feasible and agent-compatible cortical region functionalities.<n> Implementing these structures within an agent enables it to achieve basic cognitive intelligence akin to human capabilities.
arXiv Detail & Related papers (2024-12-12T02:15:48Z) - Heuristic Reasoning in AI: Instrumental Use and Mimetic Absorption [0.2209921757303168]
We propose a novel program of reasoning for artificial intelligence (AI)
We show that AIs manifest an adaptive balancing of precision and efficiency, consistent with principles of resource-rational human cognition.
Our findings reveal a nuanced picture of AI cognition, where trade-offs between resources and objectives lead to the emulation of biological systems.
arXiv Detail & Related papers (2024-03-14T13:53:05Z) - A Neuro-mimetic Realization of the Common Model of Cognition via Hebbian
Learning and Free Energy Minimization [55.11642177631929]
Large neural generative models are capable of synthesizing semantically rich passages of text or producing complex images.
We discuss the COGnitive Neural GENerative system, such an architecture that casts the Common Model of Cognition.
arXiv Detail & Related papers (2023-10-14T23:28:48Z) - Kernel Based Cognitive Architecture for Autonomous Agents [91.3755431537592]
This paper considers an evolutionary approach to creating a cognitive functionality.
We consider a cognitive architecture which ensures the evolution of the agent on the basis of Symbol Emergence Problem solution.
arXiv Detail & Related papers (2022-07-02T12:41:32Z) - Counterfactual Explanations as Interventions in Latent Space [62.997667081978825]
Counterfactual explanations aim to provide to end users a set of features that need to be changed in order to achieve a desired outcome.
Current approaches rarely take into account the feasibility of actions needed to achieve the proposed explanations.
We present Counterfactual Explanations as Interventions in Latent Space (CEILS), a methodology to generate counterfactual explanations.
arXiv Detail & Related papers (2021-06-14T20:48:48Z) - Deep Interpretable Models of Theory of Mind For Human-Agent Teaming [0.7734726150561086]
We develop an interpretable modular neural framework for modeling the intentions of other observed entities.
We demonstrate the efficacy of our approach with experiments on data from human participants on a search and rescue task in Minecraft.
arXiv Detail & Related papers (2021-04-07T06:18:58Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.