Kovač, 2025 - Google Patents
Introduction to the generative artificial intelligence systemsKovač, 2025
- Document ID
- 13658023436299068857
- Author
- Kovač M
- Publication year
- Publication venue
- Generative Artificial Intelligence: A Law and Economics Approach to Optimal Regulation and Governance
External Links
Snippet
This chapter attempts to explain the main concepts, definitions and developments of the field of artificial intelligence. It addresses the issues of logic, probability, perception, learning and action. The chapter examines the current “state of the art” of the artificial intelligence systems …
- 238000013473 artificial intelligence 0 title abstract description 111
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N99/00—Subject matter not provided for in other groups of this subclass
- G06N99/005—Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computer systems based on biological models
- G06N3/02—Computer systems based on biological models using neural network models
- G06N3/04—Architectures, e.g. interconnection topology
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computer systems based on biological models
- G06N3/02—Computer systems based on biological models using neural network models
- G06N3/08—Learning methods
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computer systems based on biological models
- G06N3/02—Computer systems based on biological models using neural network models
- G06N3/06—Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N5/00—Computer systems utilising knowledge based models
- G06N5/02—Knowledge representation
- G06N5/022—Knowledge engineering, knowledge acquisition
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N5/00—Computer systems utilising knowledge based models
- G06N5/04—Inference methods or devices
- G06N5/043—Distributed expert systems, blackboards
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computer systems based on biological models
- G06N3/004—Artificial life, i.e. computers simulating life
- G06N3/008—Artificial life, i.e. computers simulating life based on physical entities controlled by simulated intelligence so as to replicate intelligent life forms, e.g. robots replicating pets or humans in their appearance or behavior
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N7/00—Computer systems based on specific mathematical models
- G06N7/005—Probabilistic networks
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computer systems based on biological models
- G06N3/12—Computer systems based on biological models using genetic models
- G06N3/126—Genetic algorithms, i.e. information processing using digital simulations of the genetic system
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F15/00—Digital computers in general; Data processing equipment in general
- G06F15/18—Digital computers in general; Data processing equipment in general in which a programme is changed according to experience gained by the computer itself during a complete run; Learning machines
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Han et al. | A survey on deep reinforcement learning algorithms for robotic manipulation | |
Jiang et al. | Quo vadis artificial intelligence? | |
Zhu et al. | Intelligent computing: the latest advances, challenges, and future | |
Perez et al. | Artificial intelligence and robotics | |
Dasgupta et al. | Memory as a computational resource | |
Aubret et al. | An information-theoretic perspective on intrinsic motivation in reinforcement learning: A survey | |
Samsonovich | Toward a unified catalog of implemented cognitive architectures | |
Andreu-Perez et al. | Artificial Intelligence and robotics | |
Chandra et al. | Machine learning: a practitioner's approach | |
Sozou et al. | Computational scientific discovery | |
Tavassoli et al. | Learning skills from demonstrations: A trend from motion primitives to experience abstraction | |
Carvalho et al. | Motion planning diffusion: Learning and adapting robot motion planning with diffusion models | |
Mumuni et al. | Large language models for artificial general intelligence (AGI): A survey of foundational principles and approaches | |
MALAGA | Advancing Artificial Intelligence Through Machine Learning: Exploring Novel Architectures, Algorithmic Innovations and Real-World Applications for Transformative Impact | |
Cheng et al. | Introduction to artificial intelligence | |
Chandra et al. | Artificial intelligence: principles and applications | |
Kovač | Introduction to the generative artificial intelligence systems | |
Salvador et al. | Reinforcement learning: A literature review (september 2020) | |
Jaeger | Exploring the landscapes of" computing": digital, neuromorphic, unconventional--and beyond | |
Kourav et al. | Artificial intelligence algorithm models for agents of embodiment for drone applications | |
Johnston | The Construction of Reality in an AI: A Review | |
Kovač | Introduction to the Autonomous Artificial Intelligence Systems | |
Ménager et al. | Hybrid event memory as a case base for state estimation in cognitive agents | |
Kothamasu | Machine Learning and It's Techniques | |
Pineda et al. | Deliberative and conceptual inference in service robots |