Deep Swarm Evolution Generative by Iba Hitoshi (15 results)

Condition: New. 1st edition NO-PA16APR2015-KAP.

Condition: New.

Condition: New.

Condition: New.

Condition: New.

Condition: As New. Unread book in perfect condition.

Condition: As New. Unread book in perfect condition.

Condition: New. In.

Hardcover. Condition: Brand New. 266 pages. 9.18x6.12x9.21 inches. In Stock.

Hardcover. Condition: new. Hardcover. This book provides theoretical and practical knowledge about swarm and evolutionary approach of generative AI and Large Language Models (LLMs). The development of such tools contributes to better optimizing methodologies with the integration of several machinelearning and deep learning techniques. In particular, it discusses how the emergence concept can contribute to the improvement of AI.The book aims to model human cognitive f unction in terms of emergence and to explain the feasibility of AI. To this end, it focuses on human perceptions of utility. It describes the emergence of various cognitive errors, and irrational behaviours in the multiobjective situations. It also reviews the cognitive differences and similarities between humans and LLMs. Such studies are important when applying LLMs to real-world tasks that involve human cognition, e.g., financial engineering and market issues.The book describes the intelligent behaviour of living organisms. This is to clarify how to achieve AI in the direction of artificial life. It describes sexual selection, which is a well-known natural phenomenon that troubled Darwin, i.e., why evolutionarily useless items evolved such as peacock feathers and moose antlers etc. The book shows how sexual selection is extended as novelty search for the application of generative AI, i.e., the image generation with diffusion model. Real-world applications are emphasised. Empirical examples from real-world data show how the concept of deep swarm and evolution is successfully applied when addressing tasks from such recent fields as robotics, e-commerce Web Shop and image generation etc. The book provides theoretical and practical knowledge about swarm and evolutionary approach, i.e. deep swarm and deep evolution, to generative AI and LLMs. It discusses the cognitive differences and similarities between humans and LLMs and describes intelligent behaviour of living organisms. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Hardcover. Condition: new. Hardcover. This book provides theoretical and practical knowledge about swarm and evolutionary approach of generative AI and Large Language Models (LLMs). The development of such tools contributes to better optimizing methodologies with the integration of several machinelearning and deep learning techniques. In particular, it discusses how the emergence concept can contribute to the improvement of AI.The book aims to model human cognitive f unction in terms of emergence and to explain the feasibility of AI. To this end, it focuses on human perceptions of utility. It describes the emergence of various cognitive errors, and irrational behaviours in the multiobjective situations. It also reviews the cognitive differences and similarities between humans and LLMs. Such studies are important when applying LLMs to real-world tasks that involve human cognition, e.g., financial engineering and market issues.The book describes the intelligent behaviour of living organisms. This is to clarify how to achieve AI in the direction of artificial life. It describes sexual selection, which is a well-known natural phenomenon that troubled Darwin, i.e., why evolutionarily useless items evolved such as peacock feathers and moose antlers etc. The book shows how sexual selection is extended as novelty search for the application of generative AI, i.e., the image generation with diffusion model. Real-world applications are emphasised. Empirical examples from real-world data show how the concept of deep swarm and evolution is successfully applied when addressing tasks from such recent fields as robotics, e-commerce Web Shop and image generation etc. The book provides theoretical and practical knowledge about swarm and evolutionary approach, i.e. deep swarm and deep evolution, to generative AI and LLMs. It discusses the cognitive differences and similarities between humans and LLMs and describes intelligent behaviour of living organisms. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

HRD. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

HRD. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Hardcover. Condition: new. Hardcover. This book provides theoretical and practical knowledge about swarm and evolutionary approach of generative AI and Large Language Models (LLMs). The development of such tools contributes to better optimizing methodologies with the integration of several machinelearning and deep learning techniques. In particular, it discusses how the emergence concept can contribute to the improvement of AI.The book aims to model human cognitive f unction in terms of emergence and to explain the feasibility of AI. To this end, it focuses on human perceptions of utility. It describes the emergence of various cognitive errors, and irrational behaviours in the multiobjective situations. It also reviews the cognitive differences and similarities between humans and LLMs. Such studies are important when applying LLMs to real-world tasks that involve human cognition, e.g., financial engineering and market issues.The book describes the intelligent behaviour of living organisms. This is to clarify how to achieve AI in the direction of artificial life. It describes sexual selection, which is a well-known natural phenomenon that troubled Darwin, i.e., why evolutionarily useless items evolved such as peacock feathers and moose antlers etc. The book shows how sexual selection is extended as novelty search for the application of generative AI, i.e., the image generation with diffusion model. Real-world applications are emphasised. Empirical examples from real-world data show how the concept of deep swarm and evolution is successfully applied when addressing tasks from such recent fields as robotics, e-commerce Web Shop and image generation etc. The book provides theoretical and practical knowledge about swarm and evolutionary approach, i.e. deep swarm and deep evolution, to generative AI and LLMs. It discusses the cognitive differences and similarities between humans and LLMs and describes intelligent behaviour of living organisms. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The book provides theoretical and practical knowledge about swarm and evolutionary approach, i.e. deep swarm and deep evolution, to generative AI and LLMs. It discusses the cognitive differences and similarities between humans and LLMs and describes intelligent behaviour of living organisms.