Towards Self-Evolving Agents: A Human-Inspired Adaptive Exploration-Exploitation Framework for Genetic Network Programming | Paper Citation Record

Observation 73a7696d-cef8-417e-b596-23e97968f883 · outbound

This paper cites The rise of agentic AI: implications, concerns, and the path forward,.

Towards Self-Evolving Agents: A Human-Inspired Adaptive Exploration-Exploitation Framework for Genetic Network Programming The rise of agentic AI: implications, concerns, and the path forward,

Reference 1

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This paper cites A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence.

Towards Self-Evolving Agents: A Human-Inspired Adaptive Exploration-Exploitation Framework for Genetic Network Programming A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence

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This paper cites Agentic Reasoning for Large Language Models.

Towards Self-Evolving Agents: A Human-Inspired Adaptive Exploration-Exploitation Framework for Genetic Network Programming Agentic Reasoning for Large Language Models

Reference 3

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This paper cites Explainable Artificial Intelligence (XAI) 2.0: A manifesto of open challenges and interdisciplinary research directions,.

Towards Self-Evolving Agents: A Human-Inspired Adaptive Exploration-Exploitation Framework for Genetic Network Programming Explainable Artificial Intelligence (XAI) 2.0: A manifesto of open challenges and interdisciplinary research directions,

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This paper cites Human-Centered Pathways to Trustworthy AI in Healthcare: A Comparative Analysis of Explainable AI, Human-in-the-Loop, Hybrid AI, and Uncertainty Quantification Techniques,.

Towards Self-Evolving Agents: A Human-Inspired Adaptive Exploration-Exploitation Framework for Genetic Network Programming Human-Centered Pathways to Trustworthy AI in Healthcare: A Comparative Analysis of Explainable AI, Human-in-the-Loop, Hybrid AI, and Uncertainty Quantification Techniques,

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This paper cites Application of explainable artificial intelligence (XAI) techniques in patients with intracranial hemorrhage: A systematic review,.

Towards Self-Evolving Agents: A Human-Inspired Adaptive Exploration-Exploitation Framework for Genetic Network Programming Application of explainable artificial intelligence (XAI) techniques in patients with intracranial hemorrhage: A systematic review,

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This paper cites AgentGraph: Trace-to-Graph Platform for Interactive Analysis and Robustness Testing in Agentic AI Systems,.

Towards Self-Evolving Agents: A Human-Inspired Adaptive Exploration-Exploitation Framework for Genetic Network Programming AgentGraph: Trace-to-Graph Platform for Interactive Analysis and Robustness Testing in Agentic AI Systems,

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Observation 7e0826ac-7255-4313-99f8-b199d9a95e18 · outbound

This paper cites Rethinking exploration –exploitation trade-off in reinforcement learning via cognitive consistency,.

Towards Self-Evolving Agents: A Human-Inspired Adaptive Exploration-Exploitation Framework for Genetic Network Programming Rethinking exploration –exploitation trade-off in reinforcement learning via cognitive consistency,

Reference 8

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This paper cites Toward adaptive and coordinated transportation systems: A multi - personality multi-agent meta-reinforcement learning framework,.

Towards Self-Evolving Agents: A Human-Inspired Adaptive Exploration-Exploitation Framework for Genetic Network Programming Toward adaptive and coordinated transportation systems: A multi - personality multi-agent meta-reinforcement learning framework,

Reference 9

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This paper cites Agentevolver: Towards efficient self-evolving agent system,.

Towards Self-Evolving Agents: A Human-Inspired Adaptive Exploration-Exploitation Framework for Genetic Network Programming Agentevolver: Towards efficient self-evolving agent system,

Reference 10

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This paper cites Genetic programming and reinforcement learning on learning heuristics for dynamic scheduling: A preliminary comparison,.

Towards Self-Evolving Agents: A Human-Inspired Adaptive Exploration-Exploitation Framework for Genetic Network Programming Genetic programming and reinforcement learning on learning heuristics for dynamic scheduling: A preliminary comparison,

Reference 11

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Observation c5da9857-9b6d-4cab-b054-e794bc09093e · outbound

This paper cites Comparison between Genetic Network Programming (GNP) and Genetic Programming (GP),.

Towards Self-Evolving Agents: A Human-Inspired Adaptive Exploration-Exploitation Framework for Genetic Network Programming Comparison between Genetic Network Programming (GNP) and Genetic Programming (GP),

Reference 12

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This paper cites Enhancing Interpretability in Machine Learning: A Focus on Genetic Network Programming, Its Variants, and Applications,.

Towards Self-Evolving Agents: A Human-Inspired Adaptive Exploration-Exploitation Framework for Genetic Network Programming Enhancing Interpretability in Machine Learning: A Focus on Genetic Network Programming, Its Variants, and Applications,

Reference 13

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This paper cites A novel estimation of distribution algorithm using graph-based chromosome representation and reinforcement learning,.

Towards Self-Evolving Agents: A Human-Inspired Adaptive Exploration-Exploitation Framework for Genetic Network Programming A novel estimation of distribution algorithm using graph-based chromosome representation and reinforcement learning,

Reference 14

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Observation 5dd3d254-e3e7-4de8-b3a7-2e5edc865fe2 · outbound

This paper cites Use of infeasible individuals in probabilistic model building genetic network programming,.

Towards Self-Evolving Agents: A Human-Inspired Adaptive Exploration-Exploitation Framework for Genetic Network Programming Use of infeasible individuals in probabilistic model building genetic network programming,

Reference 15

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This paper cites An extended probabilistic model building genetic network programming using both of good and bad individuals,.

Towards Self-Evolving Agents: A Human-Inspired Adaptive Exploration-Exploitation Framework for Genetic Network Programming An extended probabilistic model building genetic network programming using both of good and bad individuals,

Reference 16

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This paper cites Genetic network programming with acquisition mechanisms of association rules,.

Towards Self-Evolving Agents: A Human-Inspired Adaptive Exploration-Exploitation Framework for Genetic Network Programming Genetic network programming with acquisition mechanisms of association rules,

Reference 17

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This paper cites SemiSupervised Learning for Class Association Rule Mining Using Genetic Network Programming,.

Towards Self-Evolving Agents: A Human-Inspired Adaptive Exploration-Exploitation Framework for Genetic Network Programming SemiSupervised Learning for Class Association Rule Mining Using Genetic Network Programming,

Reference 18

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This paper cites Attribute Selection Based Genetic Network Programming for Intrusion Detection System,.

Towards Self-Evolving Agents: A Human-Inspired Adaptive Exploration-Exploitation Framework for Genetic Network Programming Attribute Selection Based Genetic Network Programming for Intrusion Detection System,

Reference 19

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Observation 8ae5fdc9-9d7b-483a-894a-968d6f9cd734 · outbound

This paper cites An Intrusion -Detection Model Based on Fuzzy Class - Association-Rule Mining Using Genetic Network Programming,.

Towards Self-Evolving Agents: A Human-Inspired Adaptive Exploration-Exploitation Framework for Genetic Network Programming An Intrusion -Detection Model Based on Fuzzy Class - Association-Rule Mining Using Genetic Network Programming,

Reference 20

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This paper cites Integrated fuzzy GNP rule mining with distance-based classification for intrusion detection system,.

Towards Self-Evolving Agents: A Human-Inspired Adaptive Exploration-Exploitation Framework for Genetic Network Programming Integrated fuzzy GNP rule mining with distance-based classification for intrusion detection system,

Reference 21

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This paper cites Industry 5.0—A human-centric solution,.

Towards Self-Evolving Agents: A Human-Inspired Adaptive Exploration-Exploitation Framework for Genetic Network Programming Industry 5.0—A human-centric solution,

Reference 22

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This paper cites From Industry 4.0 digital manufacturing to Industry 5.0 digital society: a roadmap toward human -centric, sustainable, and resilient production,.

Towards Self-Evolving Agents: A Human-Inspired Adaptive Exploration-Exploitation Framework for Genetic Network Programming From Industry 4.0 digital manufacturing to Industry 5.0 digital society: a roadmap toward human -centric, sustainable, and resilient production,

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Towards Self-Evolving Agents: A Human-Inspired Adaptive Exploration-Exploitation Framework for Genetic Network Programming State of Industry 5.0 —Analysis and identification of current research trends,

Reference 24

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Towards Self-Evolving Agents: A Human-Inspired Adaptive Exploration-Exploitation Framework for Genetic Network Programming Industry 4.0 and Industry 5.0—Inception, conception and perception,

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Towards Self-Evolving Agents: A Human-Inspired Adaptive Exploration-Exploitation Framework for Genetic Network Programming Human -machine interaction towards Industry 5.0: Human -centric smart manufacturing,

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This paper cites Genetic network programming with parallel processing for association rule mining in large and dense databases,.

Towards Self-Evolving Agents: A Human-Inspired Adaptive Exploration-Exploitation Framework for Genetic Network Programming Genetic network programming with parallel processing for association rule mining in large and dense databases,

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This paper cites Automatic Calibration of Piezoelectric Bed-Leaving Sensor Signals Using Genetic Network Programming Algorithms,.

Towards Self-Evolving Agents: A Human-Inspired Adaptive Exploration-Exploitation Framework for Genetic Network Programming Automatic Calibration of Piezoelectric Bed-Leaving Sensor Signals Using Genetic Network Programming Algorithms,

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This paper cites Ramezanian, A.

Towards Self-Evolving Agents: A Human-Inspired Adaptive Exploration-Exploitation Framework for Genetic Network Programming Ramezanian, A

Reference 29

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This paper cites Variable -Size Genetic Network Programming for Portfolio Optimization with Trading Rules,.

Towards Self-Evolving Agents: A Human-Inspired Adaptive Exploration-Exploitation Framework for Genetic Network Programming Variable -Size Genetic Network Programming for Portfolio Optimization with Trading Rules,

Reference 30

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Towards Self-Evolving Agents: A Human-Inspired Adaptive Exploration-Exploitation Framework for Genetic Network Programming Unresolved cited work

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Towards Self-Evolving Agents: A Human-Inspired Adaptive Exploration-Exploitation Framework for Genetic Network Programming Genetic Network Programming with Sarsa Learning Based Nonuniform Mutation,

Reference 32

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This paper cites Robust Genetic Network Programming using SARSA Learning for autonomous robots,.

Towards Self-Evolving Agents: A Human-Inspired Adaptive Exploration-Exploitation Framework for Genetic Network Programming Robust Genetic Network Programming using SARSA Learning for autonomous robots,

Reference 33

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This paper cites Updated MiniBooNE Neutrino Oscillation Results with Increased Data and New Background Studies.

Towards Self-Evolving Agents: A Human-Inspired Adaptive Exploration-Exploitation Framework for Genetic Network Programming Updated MiniBooNE Neutrino Oscillation Results with Increased Data and New Background Studies

Reference 34

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This paper cites Trading rules on stock markets using genetic network programming with sarsa learning,.

Towards Self-Evolving Agents: A Human-Inspired Adaptive Exploration-Exploitation Framework for Genetic Network Programming Trading rules on stock markets using genetic network programming with sarsa learning,

Reference 35

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Towards Self-Evolving Agents: A Human-Inspired Adaptive Exploration-Exploitation Framework for Genetic Network Programming Genetic Network Programming with Reinforcement Learning and Its Application to Creating Stock Trading Rules,

Reference 36

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This paper cites A Learning Classifier System Based on Genetic Network Programming,.

Towards Self-Evolving Agents: A Human-Inspired Adaptive Exploration-Exploitation Framework for Genetic Network Programming A Learning Classifier System Based on Genetic Network Programming,

Reference 37

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This paper cites Niching genetic network programming with rule accumulation for decision making: An evolutionary rule -based approach,.

Towards Self-Evolving Agents: A Human-Inspired Adaptive Exploration-Exploitation Framework for Genetic Network Programming Niching genetic network programming with rule accumulation for decision making: An evolutionary rule -based approach,

Reference 38

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This paper cites Genetic Network Programming with Estimation of Distribution Algorithms for class association rule mining in traffic prediction,.

Towards Self-Evolving Agents: A Human-Inspired Adaptive Exploration-Exploitation Framework for Genetic Network Programming Genetic Network Programming with Estimation of Distribution Algorithms for class association rule mining in traffic prediction,

Reference 39

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This paper cites A Novel Graph-Based Estimation of the Distribution Algorithm and its Extension Using Reinforcement Learning,.

Towards Self-Evolving Agents: A Human-Inspired Adaptive Exploration-Exploitation Framework for Genetic Network Programming A Novel Graph-Based Estimation of the Distribution Algorithm and its Extension Using Reinforcement Learning,

Reference 40

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Towards Self-Evolving Agents: A Human-Inspired Adaptive Exploration-Exploitation Framework for Genetic Network Programming A continuous estimation of distribution algorithm by evolving graph structures using reinforcement learning,

Reference 41

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Towards Self-Evolving Agents: A Human-Inspired Adaptive Exploration-Exploitation Framework for Genetic Network Programming Adaptive Genetic Network Programming,

Reference 42

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Towards Self-Evolving Agents: A Human-Inspired Adaptive Exploration-Exploitation Framework for Genetic Network Programming Graph structure optimization of Genetic Network Programming with ant colony mechanism in deterministic and stochastic environments,

Reference 43

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This paper cites Efficiency improvement of genetic network programming by tasks decomposition in different types of environments,.

Towards Self-Evolving Agents: A Human-Inspired Adaptive Exploration-Exploitation Framework for Genetic Network Programming Efficiency improvement of genetic network programming by tasks decomposition in different types of environments,

Reference 44

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This paper cites Chapter Four - Situation-based genetic network programming to solve agent control problems,.

Towards Self-Evolving Agents: A Human-Inspired Adaptive Exploration-Exploitation Framework for Genetic Network Programming Chapter Four - Situation-based genetic network programming to solve agent control problems,

Reference 45

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This paper cites Enhancing Multiagent Genetic Network Programming Performance Using Search Space Reduction,.

Towards Self-Evolving Agents: A Human-Inspired Adaptive Exploration-Exploitation Framework for Genetic Network Programming Enhancing Multiagent Genetic Network Programming Performance Using Search Space Reduction,

Reference 46

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This paper cites Functionally distributed systems using parallel Genetic Network Programming,.

Towards Self-Evolving Agents: A Human-Inspired Adaptive Exploration-Exploitation Framework for Genetic Network Programming Functionally distributed systems using parallel Genetic Network Programming,

Reference 47

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This paper cites Graph-Augmented Large Language Model Agents: Current Progress and Future Prospects.

Towards Self-Evolving Agents: A Human-Inspired Adaptive Exploration-Exploitation Framework for Genetic Network Programming Graph-Augmented Large Language Model Agents: Current Progress and Future Prospects

Reference 48

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This paper cites Graphs Meet AI Agents: Taxonomy, Progress, and Future Opportunities.

Towards Self-Evolving Agents: A Human-Inspired Adaptive Exploration-Exploitation Framework for Genetic Network Programming Graphs Meet AI Agents: Taxonomy, Progress, and Future Opportunities

Reference 49

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This paper cites AgentKit: Structured LLM Reasoning with Dynamic Graphs.

Towards Self-Evolving Agents: A Human-Inspired Adaptive Exploration-Exploitation Framework for Genetic Network Programming AgentKit: Structured LLM Reasoning with Dynamic Graphs

Reference 50

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This paper cites Scaling graph chain-of-thought reasoning: A multi-agent framework with efficient llm serving,.

Towards Self-Evolving Agents: A Human-Inspired Adaptive Exploration-Exploitation Framework for Genetic Network Programming Scaling graph chain-of-thought reasoning: A multi-agent framework with efficient llm serving,

Reference 51

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Observation 83e9296b-91ba-453f-b713-21c4d9351e95 · outbound

This paper cites Graph counselor: Adaptive graph exploration via multi -agent synergy to enhance llm reasoning,.

Towards Self-Evolving Agents: A Human-Inspired Adaptive Exploration-Exploitation Framework for Genetic Network Programming Graph counselor: Adaptive graph exploration via multi -agent synergy to enhance llm reasoning,

Reference 52

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Observation 92719d92-fde0-44ac-86f2-5672097d9de0 · outbound

This paper cites Graphagent: Agentic graph language assistant,.

Towards Self-Evolving Agents: A Human-Inspired Adaptive Exploration-Exploitation Framework for Genetic Network Programming Graphagent: Agentic graph language assistant,

Reference 53

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Observation 49f8efd9-5824-45d0-b66f-124571d6b303 · outbound

This paper cites Can graph learning improve planning in llm-based agents?,.

Towards Self-Evolving Agents: A Human-Inspired Adaptive Exploration-Exploitation Framework for Genetic Network Programming Can graph learning improve planning in llm-based agents?,

Reference 54

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Observation d04e36c5-47c7-4682-9d28-8b3df7a34032 · outbound

This paper cites Scalable and accurate graph reasoning with llm -based multi-agents,.

Towards Self-Evolving Agents: A Human-Inspired Adaptive Exploration-Exploitation Framework for Genetic Network Programming Scalable and accurate graph reasoning with llm -based multi-agents,

Reference 55

Resolution: unresolved; no resolver link, observed 2026-07-15T10:12:25.518134Z

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This paper cites AgentRouter: A Knowledge -Graph-Guided LLM Router for Collaborative Multi -Agent Question Answering,.

Towards Self-Evolving Agents: A Human-Inspired Adaptive Exploration-Exploitation Framework for Genetic Network Programming AgentRouter: A Knowledge -Graph-Guided LLM Router for Collaborative Multi -Agent Question Answering,

Reference 56

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Observation fdd67148-45f0-4add-8021-598b9c6e2269 · outbound

This paper cites EvoFlow: Evolving Diverse Agentic Workflows On The Fly.

Towards Self-Evolving Agents: A Human-Inspired Adaptive Exploration-Exploitation Framework for Genetic Network Programming EvoFlow: Evolving Diverse Agentic Workflows On The Fly

Reference 57

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Observation 4ebc5baf-b8e0-4550-ae20-a54b8ac17017 · outbound

This paper cites KnowThyself: An Agentic Assistant for LLM Interpretability,.

Towards Self-Evolving Agents: A Human-Inspired Adaptive Exploration-Exploitation Framework for Genetic Network Programming KnowThyself: An Agentic Assistant for LLM Interpretability,

Reference 58

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Observation 432c32df-fc7e-42b9-88dc-13f7ffc03e51 · outbound

This paper cites On the set of points of zero torsion for negative-torsion maps of the annulus.

Towards Self-Evolving Agents: A Human-Inspired Adaptive Exploration-Exploitation Framework for Genetic Network Programming On the set of points of zero torsion for negative-torsion maps of the annulus

Reference 59

Resolution: verified exact; local_arxiv, observed 2026-07-15T10:21:20.988780Z

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Observation 9d025a5b-051b-4c2e-8ea0-158aeb724ee0 · outbound

This paper cites Genetic Network Programming with Simplified Genetic Operators,.

Towards Self-Evolving Agents: A Human-Inspired Adaptive Exploration-Exploitation Framework for Genetic Network Programming Genetic Network Programming with Simplified Genetic Operators,

Reference 60

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Observation 805c0462-8067-4094-a8c6-448ff9e3f826 · outbound

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Towards Self-Evolving Agents: A Human-Inspired Adaptive Exploration-Exploitation Framework for Genetic Network Programming Revisiting genetic network programming (gnp): towards the simplified genetic operators,

Reference 61

Resolution: unresolved; no resolver link, observed 2026-07-15T10:12:25.518134Z

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Observation 74c3e0c1-ce8b-42e7-ae41-88f893214f42 · outbound

This paper cites Children are more exploratory and learn more than adults in an approach -avoid task,.

Towards Self-Evolving Agents: A Human-Inspired Adaptive Exploration-Exploitation Framework for Genetic Network Programming Children are more exploratory and learn more than adults in an approach -avoid task,

Reference 62

Resolution: unresolved; no resolver link, observed 2026-07-15T10:12:25.518134Z

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Observation 6e2d02d4-80b5-4fdb-9483-73887dac9389 · outbound

This paper cites Understanding explore-exploit dynamics in child development: current insights and future directions,.

Towards Self-Evolving Agents: A Human-Inspired Adaptive Exploration-Exploitation Framework for Genetic Network Programming Understanding explore-exploit dynamics in child development: current insights and future directions,

Reference 63

Resolution: unresolved; no resolver link, observed 2026-07-15T10:12:25.518134Z

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Observation a5796724-61b9-4e37-b2be-af15e728e098 · outbound

This paper cites Early adversity and the development of explore –exploit tradeoffs,.

Towards Self-Evolving Agents: A Human-Inspired Adaptive Exploration-Exploitation Framework for Genetic Network Programming Early adversity and the development of explore –exploit tradeoffs,

Reference 64

Resolution: unresolved; no resolver link, observed 2026-07-15T10:12:25.518134Z

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Observation d90511b6-9f5a-4ff9-9e01-dba80c2fd749 · outbound

This paper cites Introducing the Tileworld: experimentally evaluating agent architectures,.

Towards Self-Evolving Agents: A Human-Inspired Adaptive Exploration-Exploitation Framework for Genetic Network Programming Introducing the Tileworld: experimentally evaluating agent architectures,

Reference 65

Resolution: unresolved; no resolver link, observed 2026-07-15T10:12:25.518134Z

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Observation e44d42e3-15c5-413d-84c4-ab9a8ad5c5fe · outbound

This paper cites an unresolved cited work.

Towards Self-Evolving Agents: A Human-Inspired Adaptive Exploration-Exploitation Framework for Genetic Network Programming Unresolved cited work

Reference 66

Resolution: unresolved; no resolver link, observed 2026-07-15T10:12:25.518134Z

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Observation e4ba84f5-29cb-42f7-a096-968918f5aeaf · outbound

This paper cites Reasoning with exploration: An entropy perspective,.

Towards Self-Evolving Agents: A Human-Inspired Adaptive Exploration-Exploitation Framework for Genetic Network Programming Reasoning with exploration: An entropy perspective,

Reference 67

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