9798187756865 - autonomous robotics through deterministic (non-iterative) artificial intelligence: autonomy through structure. intelligence through deterministic equilibrium. de cekirge, huseyin murat (5 resultados)

- Tapa blanda
Librería: PBShop.store UK, Fairford, GLOS, Reino UnidoPBShop.store UK
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 42,09
Envío por EUR 5,84Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

- Tapa blanda
Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 60,72
Envío por EUR 30,50Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 2 disponibles
Taschenbuch. Condición: Neu. Neuware - Artificial intelligence has achieved remarkable success through optimization-based learning, probabilistic reasoning, deep neural networks, and increasingly complex computational architectures. Despite these advances, many autonomous robotic systems continue to rely on iterative search, rep…eated optimization, and computationally expensive decision-making procedures.This book presents a complementary deterministic (non-iterative) perspective for autonomous robotics. Rather than viewing perception, decision-making, planning, and autonomous behavior primarily as optimization problems, it investigates whether many robotic tasks can be formulated as processes of structural compatibility, admissibility evaluation, equilibrium discovery, and progressive elimination of incompatible alternatives.The proposed framework develops deterministic methodologies for object recognition, environmental representation, autonomous action selection, multi-agent coordination, goal selection, robotic continuity, and hardware-oriented parallel filtering architectures. Throughout the book, compatible solutions emerge through constraint-governed elimination rather than exhaustive search, providing an alternative computational interpretation of intelligent robotic behavior.The objective of this work is not to replace existing machine learning, reinforcement learning, probabilistic robotics, or optimization theory. Instead, it offers a complementary framework that emphasizes interpretability, reproducibility, computational efficiency, operational stability, and energy-conscious autonomous decision-making.Intended for researchers, graduate students, engineers, and practitioners in robotics and artificial intelligence, this book introduces a unified deterministic framework that may stimulate further research into sustainable, computationally efficient, and structurally interpretable autonomous robotic systems.

- Tapa blanda
- Impresión bajo demanda
Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de AmericaGrand Eagle Retail
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 46,11
Gastos de envío gratisSe envía dentro de Estados Unidos de AmericaCantidad disponible: 1 disponibles
Paperback. Condición: new. Paperback. Artificial intelligence has achieved remarkable success through optimization-based learning, probabilistic reasoning, deep neural networks, and increasingly complex computational architectures. Despite these advances, many autonomous robotic systems continue to rely on iterative search, repe…ated optimization, and computationally expensive decision-making procedures.This book presents a complementary deterministic (non-iterative) perspective for autonomous robotics. Rather than viewing perception, decision-making, planning, and autonomous behavior primarily as optimization problems, it investigates whether many robotic tasks can be formulated as processes of structural compatibility, admissibility evaluation, equilibrium discovery, and progressive elimination of incompatible alternatives.The proposed framework develops deterministic methodologies for object recognition, environmental representation, autonomous action selection, multi-agent coordination, goal selection, robotic continuity, and hardware-oriented parallel filtering architectures. Throughout the book, compatible solutions emerge through constraint-governed elimination rather than exhaustive search, providing an alternative computational interpretation of intelligent robotic behavior.The objective of this work is not to replace existing machine learning, reinforcement learning, probabilistic robotics, or optimization theory. Instead, it offers a complementary framework that emphasizes interpretability, reproducibility, computational efficiency, operational stability, and energy-conscious autonomous decision-making.Intended for researchers, graduate students, engineers, and practitioners in robotics and artificial intelligence, this book introduces a unified deterministic framework that may stimulate further research into sustainable, computationally efficient, and structurally interpretable autonomous robotic systems. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

- Tapa blanda
- Impresión bajo demanda
Librería: California Books, Miami, FL, Estados Unidos de AmericaCalifornia Books
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 46,12
Gastos de envío gratisSe envía dentro de Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
Condición: New. Print on Demand.

- Tapa blanda
- Impresión bajo demanda
Librería: CitiRetail, Stevenage, Reino UnidoCitiRetail
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 47,34
Envío por EUR 43,06Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Paperback. Condición: new. Paperback. Artificial intelligence has achieved remarkable success through optimization-based learning, probabilistic reasoning, deep neural networks, and increasingly complex computational architectures. Despite these advances, many autonomous robotic systems continue to rely on iterative search, repe…ated optimization, and computationally expensive decision-making procedures.This book presents a complementary deterministic (non-iterative) perspective for autonomous robotics. Rather than viewing perception, decision-making, planning, and autonomous behavior primarily as optimization problems, it investigates whether many robotic tasks can be formulated as processes of structural compatibility, admissibility evaluation, equilibrium discovery, and progressive elimination of incompatible alternatives.The proposed framework develops deterministic methodologies for object recognition, environmental representation, autonomous action selection, multi-agent coordination, goal selection, robotic continuity, and hardware-oriented parallel filtering architectures. Throughout the book, compatible solutions emerge through constraint-governed elimination rather than exhaustive search, providing an alternative computational interpretation of intelligent robotic behavior.The objective of this work is not to replace existing machine learning, reinforcement learning, probabilistic robotics, or optimization theory. Instead, it offers a complementary framework that emphasizes interpretability, reproducibility, computational efficiency, operational stability, and energy-conscious autonomous decision-making.Intended for researchers, graduate students, engineers, and practitioners in robotics and artificial intelligence, this book introduces a unified deterministic framework that may stimulate further research into sustainable, computationally efficient, and structurally interpretable autonomous robotic systems. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.