Principles Of Synthetic Intelligence Psi An Architecture Of Motivated Cognition
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Principles Of Synthetic Intelligence
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Author : Joscha Bach
language : en
Publisher: Oxford University Press
Release Date : 2009-04-06
Principles Of Synthetic Intelligence written by Joscha Bach and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-04-06 with Psychology categories.
From the Foreword: "In this book Joscha Bach introduces Dietrich Dörner's PSI architecture and Joscha's implementation of the MicroPSI architecture. These architectures and their implementation have several lessons for other architectures and models. Most notably, the PSI architecture includes drives and thus directly addresses questions of emotional behavior. An architecture including drives helps clarify how emotions could arise. It also changes the way that the architecture works on a fundamental level, providing an architecture more suited for behaving autonomously in a simulated world. PSI includes three types of drives, physiological (e.g., hunger), social (i.e., affiliation needs), and cognitive (i.e., reduction of uncertainty and expression of competency). These drives routinely influence goal formation and knowledge selection and application. The resulting architecture generates new kinds of behaviors, including context dependent memories, socially motivated behavior, and internally motivated task switching. This architecture illustrates how emotions and physical drives can be included in an embodied cognitive architecture. The PSI architecture, while including perceptual, motor, learning, and cognitive processing components, also includes several novel knowledge representations: temporal structures, spatial memories, and several new information processing mechanisms and behaviors, including progress through types of knowledge sources when problem solving (the Rasmussen ladder), and knowledge-based hierarchical active vision. These mechanisms and representations suggest ways for making other architectures more realistic, more accurate, and easier to use. The architecture is demonstrated in the Island simulated environment. While it may look like a simple game, it was carefully designed to allow multiple tasks to be pursued and provides ways to satisfy the multiple drives. It would be useful in its own right for developing other architectures interested in multi-tasking, long-term learning, social interaction, embodied architectures, and related aspects of behavior that arise in a complex but tractable real-time environment. The resulting models are not presented as validated cognitive models, but as theoretical explorations in the space of architectures for generating behavior. The sweep of the architecture can thus be larger-it presents a new cognitive architecture attempting to provide a unified theory of cognition. It attempts to cover perhaps the largest number of phenomena to date. This is not a typical cognitive modeling work, but one that I believe that we can learn much from." --Frank E. Ritter, Series Editor Although computational models of cognition have become very popular, these models are relatively limited in their coverage of cognition-- they usually only emphasize problem solving and reasoning, or treat perception and motivation as isolated modules. The first architecture to cover cognition more broadly is PSI theory, developed by Dietrich Dorner. By integrating motivation and emotion with perception and reasoning, and including grounded neuro-symbolic representations, PSI contributes significantly to an integrated understanding of the mind. It provides a conceptual framework that highlights the relationships between perception and memory, language and mental representation, reasoning and motivation, emotion and cognition, autonomy and social behavior. It is, however, unfortunate that PSI's origin in psychology, its methodology, and its lack of documentation have limited its impact. The proposed book adapts Psi theory to cognitive science and artificial intelligence, by elucidating both its theoretical and technical frameworks, and clarifying its contribution to how we have come to understand cognition.
Principles Of Synthetic Intelligence Psi An Architecture Of Motivated Cognition
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Author : Joscha Bach
language : en
Publisher: Oxford University Press
Release Date : 2009-04-06
Principles Of Synthetic Intelligence Psi An Architecture Of Motivated Cognition written by Joscha Bach and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-04-06 with Psychology categories.
This title features chapters on machines to explain the mind, Domer's 'blueprint for a mind', representation of and for mental processes, language and future avenues, from PSI to microPSI, and much more.
How To Build A Brain
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Author : Chris Eliasmith
language : en
Publisher: Oxford University Press
Release Date : 2013-04-16
How To Build A Brain written by Chris Eliasmith and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-04-16 with Psychology categories.
How to Build a Brain provides a detailed exploration of a new cognitive architecture - the Semantic Pointer Architecture - that takes biological detail seriously, while addressing cognitive phenomena. Topics ranging from semantics and syntax, to neural coding and spike-timing-dependent plasticity are integrated to develop the world's largest functional brain model.
Homo Monkey Cyborg
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Author : Jorg Horst Otto Thimoreit
language : en
Publisher: Jorg Horst Otto Thimoreit
Release Date : 2020-12-24
Homo Monkey Cyborg written by Jorg Horst Otto Thimoreit and has been published by Jorg Horst Otto Thimoreit this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-24 with Business & Economics categories.
My books are about one thing and that is the mind. 1. Where did our mind come from in a natural point of facts. 2. What did our mind do during its historical, cultural existence for the past 100.000 years. 3. Who owns and who controls our mind. We don’t actually control our mind and makes Free Will an ambition and not a fact. The Centers of Power control our mind for the last 5.000 years, we have made simulations about believing in a god and call it religion. We have made simulations about society in believing in governments, laws and politician and call it statism. 4. In my books I explore solutions to live as a free individual and that is only possible if we all live in a free world, without the political, financial and religious oppressors I call the Centers of Power. How can this work out for me, if I am in love with mental slavery, how do I unslave? Am I a monkey with an Ego or am I a cosmic, archaic mind? Being involved in natural philosophy to answer questions on where I come from, who I am, where I am going and to stand up for it, challenge authority, lead me into prison for over 10 years. How I became the enemy of the German state, a danger to its citizens and to my five children, will be covered in my two books. People that are dangerous to the system are tending to be removed. I look at the Centers of Power, its origin and the way it divides the people in order to enslave them and it makes me think is it monkeys running society? So how do we unite and make love win - to change the system and push for peace? We are now living in historical times and, like it or not, the choices that we will make over the next few years will have profound implications to the future of the entire human race. Corona-Plandemic: Whether or not to wear the mask. Whether or not to take the vaccine. Whether or not to get the health app. Whether or not to fill out the digital visitor card. Whether or not to take the digital money chip. In any case the attempt by the Centers of Power to reset global society leads eventually to a global awakening of the truth. My journey is to go back to the foundations to get things right. To discover truth, the cosmos has to be first debugged and to make a model of the cosmos. Typically large groups of intellect don’t get it right, because they are consensus orientated, like in politics. It is not truth orientated, in the past we have only found this by the outsiders; there we find intellectual progress. The other reason why it is so hard to find objective truth is that our brain is operating just like a computer on bio-chemical algorithms by electricity and hormones running the hardware to simulate software. When we experience pleasure or pain, when we see, hear, smell the outside world it is always an interpretation, a simulation, but never the actual objective truth or the reality of the outside world. The cosmos can be computed by us in a simulation (Matrix) and so can our society be computed, but so far no human has understood the underlying structures of that Matrix. A society like ours to discuss truth can be a very dangerous place, if you question authority. I found it hard to fit in the academic system as a scientific philosopher, so I started the path of knowledge without the academic prison and in order to finance this I started my own companies in the USA, Germany and the Netherlands; where I eventually ended up in a German prison. That happened primarily because I used psychedelic (magic) mushrooms to detach me from the general agendas of a slave in society. I present the theory that we are not living in a mechanical cosmos and a material world, but a computational cosmos – a simulation made by our mind, just as it makes a dream work, or a believer of a god that lives in the clouds called heaven. We are a dream state in the body of a monkey, becoming awake that we are neither monkey, nor a sentient being. To wake up from those dream simulations is probably the hardest accomplishment and usually happens late in our life. I doubt that reading a book, following a guru, god or scientist will help in this endeavor. In my case the search for objective truth, reality and the knowledge of relevant information, in combination with the magic mushrooms did the switch of perspective … probably also a bit of luck, called non-linear dynamics and chaos. What I really was surprised by from the awakening aspect was altruistic, unconditional love. This concept is not naturally accepted by our Ego-self driven software – however it turns out that this energy is a force that can only be activated once we achieve a Free Will of Thought. That is what makes some of us unlike any other living organism on this planet; to forgive your enemy, to love your enemy are concepts of meme that contradict the animal mind of most humans. Well once we understand that we are like a computer thinking with bio-chemical algorithms it is not a surprise that we start life with an Unfree Will of Thought …a simulation of the brain looking for food, sex and all the other things that feed our Ego-Self telling us how great and wonderful we, our simulation of the Me actually is. I have never experienced that a person is really evil or that he and she wants something evil. What people do can be horrible, and the mess they make can have an incredibly destructive potential. But if you look closely at what's going on, it may not stop, but if you condemn it, it will stop even less. When one works through it, accepts it, perceives it - then a light of love shines out. There are no bad and evil people at all, there are only people who are on the way, whom one must invite and pick up... Evolution on how cosmic space-time creates meme and life, how it drives to ever more complexity we might call consciousness. Evolution from a living organism called ape with a brain that does interpretation (simulations) of colors and sounds from the outside world, communication between us; but unlike any other brain on this planet, it can simulate also altruistic love, mathematics, arts, morals and ethics. Evolution from a hunter & gatherer tribe to a complex, modern civilization; still being an animal with universal power ambitions of the Ego-Self. To understand consciousness and enlightenment and our part we take in the cosmic, archaic mind we call nature. Using computer science artificial intelligence (AGI) to understand how our consciousness works in living organisms and especially in the human brain. To perceive the simulations that make up our worlds we make up in politics, religion and business. The internet becomes mightier than the sword of the oppressors. Now we have access to meme, to information directly, without the editing or censoring of an official cultural gate keeper. What it does to freedom and change during 2020 is the main topic of the book, to predict what 2030 will look like when governments start a direct war against their citizens. The deep state within governments, as the global Center of Power and their agenda of a Great Reset. The rise of slavery, capitalism and democracy. Central banks, IMF and World create FIAT Money (out of thin air) and therefore have control over third world countries, with their imposed conditions of these loans. Representative Democracy is a plutocracy of the very few ruling over their (sovereign citizens). We need a direct democracy right now. Outline cases where the media-propaganda has served political agendas, like false flag attacks on Libya, Iran, Syria, Iraq, 9/11 and Corona. Who runs global politics and societies since the 18th century? The Wall Street financed wars; Rockefeller, Rhodes & Co financed Adolf Hitler to prevent a United Europe with Russia. We have a 147 corporations that control the economy and the media, but do we have another power-center-cult? The New World Order (Great Reset) is coming and we can be sure that the global elite will be successful in that. The most powerful spell on humanity is electoral democracy. The answer to that problem is not a new political party, but rather local community building, spread true information on the internet and the Resistance.
Artificial General Intelligence 2008
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Author : P. Wang
language : en
Publisher: IOS Press
Release Date : 2008-02-18
Artificial General Intelligence 2008 written by P. Wang and has been published by IOS Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-02-18 with Computers categories.
The field of Artificial Intelligence (AI) was initially directly aimed at the construction of ‘thinking machines’ – that is, computer systems with human-like general intelligence. But this task proved more difficult than expected. As the years passed, AI researchers gradually shifted focus to producing AI systems that intelligently approached specific tasks in relatively narrow domains. In recent years, however, more and more AI researchers have recognized the necessity – and the feasibility – of returning to the original goal of the field. Increasingly, there is a call to focus less on highly specialized ‘narrow AI’ problem solving systems, and more on confronting the difficult issues involved in creating ‘human-level intelligence’, and ultimately general intelligence that goes beyond the human level in various ways. Artificial General Intelligence (AGI), as this renewed focus has come to be called, attempts to study and reproduce intelligence as a whole in a domain independent way. Encouraged by the recent success of several smaller-scale AGI-related meetings and special tracks at conferences, the initiative to organize the very first international conference on AGI was taken, with the goal to give researchers in the field an opportunity to present relevant research results and to exchange ideas on topics of common interest. In this collection you will find the conference papers: full-length papers, short position statements and also the papers presented in the post conference workshop on the sociocultural, ethical and futurological implications of AGI.
The Multitasking Mind
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Author : Dario D. Salvucci
language : en
Publisher: Oxford University Press
Release Date : 2010-09-30
The Multitasking Mind written by Dario D. Salvucci and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-09-30 with Psychology categories.
Multitasking is all around us: the office worker interrupted by a phone call, the teenager texting while driving, the salesperson chatting while entering an order. When multitasking, the mind juggles all the many tasks we're doing this second, this hour, this week, and tries to perform them together-sometimes with great ease, sometimes with great difficulty. We don't often stop to think about how exactly we accomplish these feats of multitasking great and small. How do we switch from one task to another? What types of multitasking are disruptive, and when are they most disruptive? And ultimately, how can we take advantage of the benefits of multitasking while alleviating its negative effects in our daily lives? This book presents the theory of threaded cognition, a theory that aims to explain the multitasking mind. The theory states that multitasking behavior can be expressed as cognitive threads-independent streams of thought that weave through the mind's processing resources to produce multitasking behavior, and sometimes experience conflicts to produce multitasking interference. Grounded in the ACT-R cognitive architecture, threaded cognition incorporates computational representations and mechanisms used to simulate and predict multitasking behavior and performance. The book describes the implications of threaded cognition theory across three traditionally disparate domains: concurrent multitasking (doing multiple tasks at once), sequential multitasking (interrupting and resuming tasks), and multitask skill acquisition (learning and practicing multiple tasks). The work stresses the importance of unifying basic and applied research by alternating between in-depth descriptions of basic research phenomena and broader treatments of phenomena in applied domains, such as driver distraction and human-computer interaction. The book also includes practical guidelines for designers of interactive systems intended for multitasking contexts.
Artificial General Intelligence
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Author : Jürgen Schmidhuber
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-07-19
Artificial General Intelligence written by Jürgen Schmidhuber and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-07-19 with Computers categories.
This book constitutes the refereed proceedings of the 4th International Conference on Artificial General Intelligence, AGI 2011, held in Mountain View, CA, USA, in August 2011. The 28 revised full papers and 26 short papers were carefully reviewed and selected from 103 submissions. The papers are written by leading academic and industry researchers involved in scientific and engineering work and focus on the creation of AI systems possessing general intelligence at the human level and beyond.
Non Axiomatic Logic
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Author : Pei Wang
language : en
Publisher: World Scientific
Release Date : 2013
Non Axiomatic Logic written by Pei Wang and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013 with Computers categories.
This book provides a systematic and comprehensive description of Non-Axiomatic Logic, which is the result of the author''s research for about three decades.Non-Axiomatic Logic is designed to provide a uniform logical foundation for Artificial Intelligence, as well as an abstract description of the OC laws of thoughtOCO followed by the human mind. Different from OC mathematicalOCO logic, where the focus is the regularity required when demonstrating mathematical conclusions, Non-Axiomatic Logic is an attempt to return to the original aim of logic, that is, to formulate the regularity in actual human thinking. To achieve this goal, the logic is designed under the assumption that the system has insufficient knowledge and resources with respect to the problems to be solved, so that the OC logical conclusionsOCO are only valid with respect to the available knowledge and resources. Reasoning processes according to this logic covers cognitive functions like learning, planning, decision making, problem solving, This book is written for researchers and students in Artificial Intelligence and Cognitive Science, and can be used as a textbook for courses at graduate level, or upper-level undergraduate, on Non-Axiomatic Logic."
Advances In Flow Research
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Author : Corinna Peifer
language : en
Publisher: Springer Nature
Release Date : 2021-01-21
Advances In Flow Research written by Corinna Peifer and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-01-21 with Psychology categories.
This second edition provides a review of the current flow research. The first, thoroughly revised and extended, part of the book, addresses basic concepts, correlates, conditions and consequences of flow experience. This includes the developments of the flow model, methods to measure flow, its physiological correlates, personality factors involved in the emergence of flow, social flow, the relationship of flow with performance and wellbeing, but also possible negative consequences of flow. The second, completely new, part of the book addresses flow in diverse contexts, in particular, work, development, sports, music and arts, and human computer interaction. As such, the book provides a broad overview on the current state of flow research – from the basics to specific contexts of application. It presents what has been learned since the beginning of flow research, what is still open, and how the mission to understand and foster flow should continue. The book addresses researchers and students who are interested in flow, as well as practitioners who seek for sound research on flow in their field of expertise.
Machine Learning
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Author : R.S. Michalski
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-04-17
Machine Learning written by R.S. Michalski and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-04-17 with Computers categories.
The ability to learn is one of the most fundamental attributes of intelligent behavior. Consequently, progress in the theory and computer modeling of learn ing processes is of great significance to fields concerned with understanding in telligence. Such fields include cognitive science, artificial intelligence, infor mation science, pattern recognition, psychology, education, epistemology, philosophy, and related disciplines. The recent observance of the silver anniversary of artificial intelligence has been heralded by a surge of interest in machine learning-both in building models of human learning and in understanding how machines might be endowed with the ability to learn. This renewed interest has spawned many new research projects and resulted in an increase in related scientific activities. In the summer of 1980, the First Machine Learning Workshop was held at Carnegie-Mellon University in Pittsburgh. In the same year, three consecutive issues of the Inter national Journal of Policy Analysis and Information Systems were specially devoted to machine learning (No. 2, 3 and 4, 1980). In the spring of 1981, a special issue of the SIGART Newsletter No. 76 reviewed current research projects in the field. . This book contains tutorial overviews and research papers representative of contemporary trends in the area of machine learning as viewed from an artificial intelligence perspective. As the first available text on this subject, it is intended to fulfill several needs.