Biologically Inspired Cognitive Architectures 2021

Author : Valentin V. Klimov,David J. Kelley
Publisher : Springer Nature
Page : 640 pages
File Size : 52,6 Mb
Release : 2022-03-24
Category : Technology & Engineering
ISBN : 9783030969936

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Biologically Inspired Cognitive Architectures 2021 by Valentin V. Klimov,David J. Kelley Pdf

The book focuses on original approaches intended to support the development of biologically inspired cognitive architectures. It bridges together different disciplines, including artificial intelligence, linguistics, neuro- and social sciences, psychology and philosophy of mind, among others. The chapters are based on contributions presented at the 12th Annual Meeting of the BICA Society (BICA 2021), which consisted of two parallel virtual events: Information in Biologically Inspired Cognitive Architectures based Systems, held during the 2021 Summit of the International Society for the Study of Information, on September 12-19, 2021, from Vienna, Austria, and the 2021 International Workshop on Biologically Inspired Cognitive Architectures, held during the 21st ACM International Conference on Intelligent Virtual Agents, on September 14-17, 2021, from the Fukuchiyama City, Kyoto, Japan. The book discusses emerging methods, theories and ideas towards the realization of general-purpose humanlike artificial intelligence or fostering a better understanding of the ways the human mind works. It provides engineers, mathematicians, psychologists, computer scientists and other experts with a timely snapshot of recent research and a source of inspiration for future developments in the broadly intended areas of artificial intelligence and biological inspiration.

Author : Valentin V. Klimov,David J. Kelley
Publisher : Unknown
Page : 0 pages
File Size : 52,6 Mb
Release : 2022
Category : Electronic
ISBN : 3030969940

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Biologically Inspired Cognitive Architectures 2021 by Valentin V. Klimov,David J. Kelley Pdf

The book focuses on original approaches intended to support the development of biologically inspired cognitive architectures. It bridges together different disciplines, including artificial intelligence, linguistics, neuro- and social sciences, psychology and philosophy of mind, among others. The chapters are based on contributions presented at the 12th Annual Meeting of the BICA Society (BICA 2021), which consisted of two parallel virtual events: Information in Biologically Inspired Cognitive Architectures based Systems, held during the 2021 Summit of the International Society for the Study of Information, on September 12-19, 2021, from Vienna, Austria, and the 2021 International Workshop on Biologically Inspired Cognitive Architectures, held during the 21st ACM International Conference on Intelligent Virtual Agents, on September 14-17, 2021, from the Fukuchiyama City, Kyoto, Japan. The book discusses emerging methods, theories and ideas towards the realization of general-purpose humanlike artificial intelligence or fostering a better understanding of the ways the human mind works. It provides engineers, mathematicians, psychologists, computer scientists and other experts with a timely snapshot of recent research and a source of inspiration for future developments in the broadly intended areas of artificial intelligence and biological inspiration.

Author : BICA Society. Annual Meeting
Publisher : Unknown
Page : 128 pages
File Size : 47,5 Mb
Release : 2019
Category : COMPUTERS
ISBN : 3319993178

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Biologically Inspired Cognitive Architectures 2018 by BICA Society. Annual Meeting Pdf

The book focuses on original approaches intended to support the development of biologically inspired cognitive architectures. It bridges together different disciplines, from classical artificial intelligence to linguistics, from neuro- and social sciences to design and creativity, among others. The chapters, based on contributions presented at the Ninth Annual Meeting of the BICA Society, held in on August 23-24, 2018, in Prague, Czech Republic, discuss emerging methods, theories and ideas towards the realization of general-purpose humanlike artificial intelligence or fostering a better understanding of the ways the human mind works. All in all, the book provides engineers, mathematicians, psychologists, computer scientists and other experts with a timely snapshot of recent research and a source of inspiration for future developments in the broadly intended areas of artificial intelligence and biological inspiration.

Author : Alexei V. Samsonovich
Publisher : Unknown
Page : 617 pages
File Size : 41,5 Mb
Release : 2020
Category : Artificial intelligence
ISBN : 3030257207

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Biologically Inspired Cognitive Architectures 2019 by Alexei V. Samsonovich Pdf

The book focuses on original approaches intended to support the development of biologically inspired cognitive architectures. It bridges together different disciplines, from classical artificial intelligence to linguistics, from neuro- and social sciences to design and creativity, among others. The chapters, based on contributions presented at the Tenth Annual Meeting of the BICA Society, held in on August 15-18, 2019, in Seattle, WA, USA, discuss emerging methods, theories and ideas towards the realization of general-purpose humanlike artificial intelligence or fostering a better understanding of the ways the human mind works. All in all, the book provides engineers, mathematicians, psychologists, computer scientists and other experts with a timely snapshot of recent research and a source of inspiration for future developments in the broadly intended areas of artificial intelligence and biological inspiration.

Author : Alexei V. Samsonovich,Ricardo R. Gudwin,Alexandre da Silva Simões
Publisher : Springer Nature
Page : 613 pages
File Size : 46,8 Mb
Release : 2020-12-08
Category : Technology & Engineering
ISBN : 9783030655969

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Brain-Inspired Cognitive Architectures for Artificial Intelligence: BICA*AI 2020 by Alexei V. Samsonovich,Ricardo R. Gudwin,Alexandre da Silva Simões Pdf

The book focuses on original approaches intended to support the development of biologically inspired cognitive architectures. It bridges together different disciplines, from classical artificial intelligence to linguistics, from neuro- and social sciences to design and creativity, among others. The chapters, based on contributions presented at the Eleventh Annual Meeting of the BICA Society, held on November 10-14, 2020, in Natal, Brazil, discuss emerging methods, theories and ideas towards the realization of general-purpose humanlike artificial intelligence or fostering a better understanding of the ways the human mind works. All in all, the book provides engineers, mathematicians, psychologists, computer scientists and other experts with a timely snapshot of recent research and a source of inspiration for future developments in the broadly intended areas of artificial intelligence and biological inspiration.

Author : BICA Society. Annual Meeting
Publisher : IOS Press
Page : 264 pages
File Size : 54,8 Mb
Release : 2010
Category : Computers
ISBN : 9781607506607

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Biologically Inspired Cognitive Architectures 2010 by BICA Society. Annual Meeting Pdf

"This book presents the proceedings of the First International Conference on Biologically Inspired Cognitive Architectures (BICA 2010), which is also the First Annual Meeting of the BICA Society. A cognitive architecture is a computational framework for the design of intelligent, even conscious, agents. It may draw inspiration from many sources, such as pure mathematics, physics or abstract theories of cognition. A biologically inspired cognitive architecture (BICA) is one which incorporates formal mechanisms from computational models of human and animal cognition, which currently provide the only physical examples with the robustness, flexibility, scalability and consciousness that artificial intelligence aspires to achieve. The BICA approach has several different goals: the broad aim of creating intelligent software systems without focusing on any one area of application; attempting to accurately simulate human behavior or gain an understanding of how the human mind works, either for purely scientific reasons or for applications in a variety of domains; understanding how the brain works at a neuronal and sub-neuronal level; or designing artificial systems which can perform the cognitive tasks important to practical applications in human society, and which at present only humans are capable of. The papers presented in this volume reflect the cross-disciplinarity and integrative nature of the BICA approach and will be of interest to anyone developing their own approach to cognitive architectures. Many insights can be found here for inspiration or to import into one's own architecture, directly or in modified form."--Publisher description.

Author : Alexei V. Samsonovich,Tingting Liu
Publisher : Springer
Page : 0 pages
File Size : 53,5 Mb
Release : 2024-02-04
Category : Technology & Engineering
ISBN : 3031503805

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Biologically Inspired Cognitive Architectures 2023 by Alexei V. Samsonovich,Tingting Liu Pdf

The book focuses on original approaches intended to support the development of biologically inspired cognitive architectures. It bridges together different disciplines, including artificial intelligence, linguistics, neuro- and social sciences, psychology and philosophy of mind, among others. The chapters are based on contributions presented at the 2023 Annual International Conference on Brain-Inspired Cognitive Architectures for Artificial Intelligence (the 14th Annual Meeting of the BICA Society, BICA*AI 2023), organized in collaboration with the University of Ningbo and held on October 13-15, 2023, in Ningbo, China. The book discusses emerging methods, theories and ideas towards the realization of general-purpose humanlike artificial intelligence or fostering a better understanding of the ways the human mind works. It provides engineers, mathematicians, psychologists, computer scientists and other experts with a timely snapshot of recent research and a source of inspiration for future developments in the broadly intended areas of artificial intelligence and biological inspiration.

Author : Alexei V. Samsonovich
Publisher : Springer
Page : 362 pages
File Size : 48,5 Mb
Release : 2018-08-23
Category : Technology & Engineering
ISBN : 9783319993164

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Biologically Inspired Cognitive Architectures 2018 by Alexei V. Samsonovich Pdf

The book focuses on original approaches intended to support the development of biologically inspired cognitive architectures. It bridges together different disciplines, from classical artificial intelligence to linguistics, from neuro- and social sciences to design and creativity, among others. The chapters, based on contributions presented at the Ninth Annual Meeting of the BICA Society, held in on August 23-24, 2018, in Prague, Czech Republic, discuss emerging methods, theories and ideas towards the realization of general-purpose humanlike artificial intelligence or fostering a better understanding of the ways the human mind works. All in all, the book provides engineers, mathematicians, psychologists, computer scientists and other experts with a timely snapshot of recent research and a source of inspiration for future developments in the broadly intended areas of artificial intelligence and biological inspiration.

Author : Vallverdú, Jordi,Mazzara, Manuel,Talanov, Max,Distefano, Salvatore,Lowe, Robert
Publisher : IGI Global
Page : 297 pages
File Size : 50,7 Mb
Release : 2017-01-25
Category : Computers
ISBN : 9781522519485

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Advanced Research on Biologically Inspired Cognitive Architectures by Vallverdú, Jordi,Mazzara, Manuel,Talanov, Max,Distefano, Salvatore,Lowe, Robert Pdf

There are many different approaches to understanding human consciousness. By conducting research to better understand various biological mechanisms, these can be redefined and utilized for technological purposes. Advanced Research on Biologically Inspired Cognitive Architectures is an essential reference source for the latest scholarly research on the biological elements of human cognition and examines the applications of consciousness within computing environments. Featuring exhaustive coverage on a broad range of innovative topics and perspectives, such as artificial intelligence, bio-robotics, and human-computer interaction, this publication is ideally designed for academics, researchers, professionals, graduate students, and practitioners seeking current research on the exploration of the intricacies of consciousness and different approaches of perception.

Author : Alexei V. Samsonovich,Valentin V. Klimov,Galina V. Rybina
Publisher : Springer
Page : 306 pages
File Size : 48,6 Mb
Release : 2016-04-15
Category : Technology & Engineering
ISBN : 9783319325545

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Biologically Inspired Cognitive Architectures (BICA) for Young Scientists by Alexei V. Samsonovich,Valentin V. Klimov,Galina V. Rybina Pdf

This book presents cutting-edge research focused on current challenges towards the realization of Biologically Inspired intelligent agents, or Cognitive Architectures (BICA). The chapters are written by both world-recognized experts (including Antonio Chella, Olivier Georgeon, Oliver Kutz, Antonio Lieto, David Vernon, Paul Verschure, and others) and young researchers. Together, they constitute a good mixture of new findings with tutorial-based reviews and position papers, all presented at the First International Early Research Career Enhancement School on Biologically Inspired Cognitive Architectures (FIERCES on BICA 2016), held April 21-24 in Moscow, Russia. Most works included here cross boundaries between disciplines: from neuroscience to social science, from cognitive science to robotics, and from bioengineering to artificial intelligence. A special emphasis is given to novel solutions to urgent problems that have been resisting traditional approaches for decades. Intended for providing readers with an update on biologically inspired approaches towards the computational replication of all the essential aspects of the human mind (the BICA Challenge), this book is expected to foster lively discussions on the topic and stimulate cross-disciplinary, cross-generation and cross-cultural collaboration.

Author : Antonio Chella,Roberto Pirrone,Rosario Sorbello,Kamilla Rún Jóhannsdóttir
Publisher : Springer
Page : 376 pages
File Size : 43,6 Mb
Release : 2012-09-29
Category : Computers
ISBN : 3642342752

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Biologically Inspired Cognitive Architectures 2012 by Antonio Chella,Roberto Pirrone,Rosario Sorbello,Kamilla Rún Jóhannsdóttir Pdf

The challenge of creating a real-life computational equivalent of the human mind requires that we better understand at a computational level how natural intelligent systems develop their cognitive and learning functions. In recent years, biologically inspired cognitive architectures have emerged as a powerful new approach toward gaining this kind of understanding (here “biologically inspired” is understood broadly as “brain-mind inspired”). Still, despite impressive successes and growing interest in BICA, wide gaps separate different approaches from each other and from solutions found in biology. Modern scientific societies pursue related yet separate goals, while the mission of the BICA Society consists in the integration of many efforts in addressing the above challenge. Therefore, the BICA Society shall bring together researchers from disjointed fields and communities who devote their efforts to solving the same challenge, despite that they may “speak different languages”. This will be achieved by promoting and facilitating the transdisciplinary study of cognitive architectures, and in the long-term perspective – creating one unifying widespread framework for the human-level cognitive architectures and their implementations. This book is a proceedings of the Third Annual Meeting of the BICA Society, which was hold in Palermo-Italy from October 31 to November 2, 2012. The book describes recent advances and new challenges around the theme of understanding how to create general-purpose humanlike artificial intelligence using inspirations from studies of the brain and the mind.

Author : Alexei V. Samsonovich,Valentin V. Klimov
Publisher : Springer
Page : 358 pages
File Size : 42,9 Mb
Release : 2017-07-25
Category : Technology & Engineering
ISBN : 9783319639406

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Biologically Inspired Cognitive Architectures (BICA) for Young Scientists by Alexei V. Samsonovich,Valentin V. Klimov Pdf

This book includes papers from the second year of the prestigious First International Early Research Career Enhancement School (FIERCES) series: a successful, new format that puts a school in direct connection with a conference and a social program, all dedicated to young scientists. Reflecting the friendly, social atmosphere of excitement and opportunity, the papers represent a good mixture of cutting-edge research focused on advances towards the most inspiring challenges of our time and first ambitious attempts at major challenges by as yet unknown, talented young scientists. In this second year of FIERCES, the BICA Challenge (to replicate all the essential aspects of the human mind in the digital environment) meets the Cybersecurity Challenge (to protect all the essential assets of the human mind in the digital environment), which is equally important in our age. As a result, the book fosters lively discussions on today’s hot topics in science and technology, and stimulates the emergence of new cross-disciplinary, cross-generation and cross-cultural collaboration. FIERCES 2017, or the First International Early Research Career Enhancement School on Biologically Inspired Cognitive Architectures and Cybersecurity, was held on August 1–5 at the Baltschug Kempinski in Moscow, Russia.

Author : Gülay Canbaloğlu,Jan Treur,Anna Wiewiora
Publisher : Springer Nature
Page : 512 pages
File Size : 41,5 Mb
Release : 2023-06-16
Category : Technology & Engineering
ISBN : 9783031287350

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Computational Modeling of Multilevel Organisational Learning and Its Control Using Self-modeling Network Models by Gülay Canbaloğlu,Jan Treur,Anna Wiewiora Pdf

Although there is much literature on organisational learning, mathematical formalisation and computational simulation, there is no literature that uses mathematical modelling and simulation to represent and explore different facets of multilevel learning. This book provides an overview of recent work on mathematical formalisation and computational simulation of multilevel organisational learning by exploiting the possibilities of self-modeling network models to address it. This is the first book addressing mathematical formalisation and computational modeling of multilevel organisational learning in a systematic, principled manner. A self-modeling network modeling approach from AI and Network Science is used where in a reflective manner some of the network nodes (called self-model nodes) represent parts of the network’s own network structure characteristics. This is supported by a dedicated software environment allowing to design and implement (higher-order) adaptive network models by specifying them in a conceptual manner at a high level of abstraction in a standard table format, without any need of algorithmic specification or programming. This modeling approach allows to model the development of knowledge in an organisational setting in a neatly structured manner at three different levels for the usage, adaptation and control, respectively, of the underlying mental models. Several examples of realistic cases of multilevel organisational learning are used to illustrate the approach. Crucial concepts such as the aggregation of mental models to form shared mental models out of individual mental models are addressed extensively. It is shown how to model context-sensitive control of organisational learning taking into account a wide variety of context factors, for example relating to levels of expertise of individuals or to leadership styles of managers involved. Mathematical equilibrium analysis of models of organisational learning is also addressed, among others allowing verification of correctness of the implemental models in comparison to their conceptual design. Chapters in this book also contribute to the Management and Business Sciences research by demonstrating how computational modeling can be used to capture complex management phenomena such as multilevel organizational learning. This book has a potential implication for practice by demonstrating how computational modeling can be used to capture learning scenarios, which then provide a basis for more informed managerial decisions.

Author : Ben Goertzel,Matthew Iklé,Alexey Potapov
Publisher : Springer Nature
Page : 379 pages
File Size : 46,5 Mb
Release : 2022-01-06
Category : Computers
ISBN : 9783030937584

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Artificial General Intelligence by Ben Goertzel,Matthew Iklé,Alexey Potapov Pdf

This book constitutes the refereed proceedings of the 14th International Conference on Artificial General Intelligence, AGI 2021, held as a hybrid event in San Francisco, CA, USA, in October 2021. The 36 full papers presented in this book were carefully reviewed and selected from 50 submissions. The papers cover topics from foundations of AGI, to AGI approaches and AGI ethics, to the roles of systems biology, goal generation, and learning systems, and so much more.

Author : AAAI. Fall Symposium
Publisher : Unknown
Page : 206 pages
File Size : 44,8 Mb
Release : 2008
Category : Consciousness
ISBN : 157735396X

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Biologically Inspired Cognitive Architectures by AAAI. Fall Symposium Pdf