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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.
The book includes all the background material required to understand the principles underlying intelligence, as well as enough detailed information on intelligent robotics and simulated agents so readers can begin experiments and projects on their own. By the mid-1980s researchers from artificial intelligence, computer science, brain and cognitive science, and psychology realized that the idea of computers as intelligent machines was inappropriate. The brain does not run "programs"; it does something entirely different. But what? Evolutionary theory says that the brain has evolved not to do mathematical proofs but to control our behavior, to ensure our survival. Researchers now agree that intelligence always manifests itself in behavior—thus it is behavior that we must understand. An exciting new field has grown around the study of behavior-based intelligence, also known as embodied cognitive science, "new AI," and "behavior-based AI." This book provides a systematic introduction to this new way of thinking. After discussing concepts and approaches such as subsumption architecture, Braitenberg vehicles, evolutionary robotics, artificial life, self-organization, and learning, the authors derive a set of principles and a coherent framework for the study of naturally and artificially intelligent systems, or autonomous agents. This framework is based on a synthetic methodology whose goal is understanding by designing and building. The book includes all the background material required to understand the principles underlying intelligence, as well as enough detailed information on intelligent robotics and simulated agents so readers can begin experiments and projects on their own. The reader is guided through a series of case studies that illustrate the design principles of embodied cognitive science.
"This book offers a high interdisciplinary exchange of ideas pertaining to the philosophy of computer science, from philosophical and mathematical logic to epistemology, engineering, ethics or neuroscience experts and outlines new problems that arise with new tools"--Provided by publisher.
An exploration of embodied intelligence and its implications points toward a theory of intelligence in general; with case studies of intelligent systems in ubiquitous computing, business and management, human memory, and robotics. How could the body influence our thinking when it seems obvious that the brain controls the body? In How the Body Shapes the Way We Think, Rolf Pfeifer and Josh Bongard demonstrate that thought is not independent of the body but is tightly constrained, and at the same time enabled, by it. They argue that the kinds of thoughts we are capable of have their foundation in our embodiment—in our morphology and the material properties of our bodies. This crucial notion of embodiment underlies fundamental changes in the field of artificial intelligence over the past two decades, and Pfeifer and Bongard use the basic methodology of artificial intelligence—"understanding by building"—to describe their insights. If we understand how to design and build intelligent systems, they reason, we will better understand intelligence in general. In accessible, nontechnical language, and using many examples, they introduce the basic concepts by building on recent developments in robotics, biology, neuroscience, and psychology to outline a possible theory of intelligence. They illustrate applications of such a theory in ubiquitous computing, business and management, and the psychology of human memory. Embodied intelligence, as described by Pfeifer and Bongard, has important implications for our understanding of both natural and artificial intelligence.
This book brings together contributions to the Fourth Artificial Life Workshop, held at the Massachusetts Institute of Technology in the summer of 1994.
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.
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.
A groundbreaking narrative on the urgency of ethically designed AI and a guidebook to reimagining life in the era of intelligent technology. The Age of Intelligent Machines is upon us, and we are at a reflection point. The proliferation of fast–moving technologies, including forms of artificial intelligence akin to a new species, will cause us to confront profound questions about ourselves. The era of human intellectual superiority is ending, and we need to plan for this monumental shift. A Human Algorithm: How Artificial Intelligence Is Redefining Who We Are examines the immense impact intelligent technology will have on humanity. These machines, while challenging our personal beliefs and our socioeconomic world order, also have the potential to transform our health and well–being, alleviate poverty and suffering, and reveal the mysteries of intelligence and consciousness. International human rights attorney Flynn Coleman deftly argues that it is critical that we instill values, ethics, and morals into our robots, algorithms, and other forms of AI. Equally important, we need to develop and implement laws, policies, and oversight mechanisms to protect us from tech’s insidious threats. To realize AI’s transcendent potential, Coleman advocates for inviting a diverse group of voices to participate in designing our intelligent machines and using our moral imagination to ensure that human rights, empathy, and equity are core principles of emerging technologies. Ultimately, A Human Algorithm is a clarion call for building a more humane future and moving conscientiously into a new frontier of our own design. “[Coleman] argues that the algorithms of machine learning––if they are instilled with human ethics and values––could bring about a new era of enlightenment.” —San Francisco Chronicle
Questioning everything we know about the childhood predictors of adult greatness, a cognitive psychologist, who was told as a child that he wasn't smart enough to graduate from high school, explores the latest research to uncover the truth about human potential.
With game players expecting greater intelligence, efficiency, and realism with non-player characters, AI plays an ever-increasing important role in game development. This is a tremendous challenge for game developers in methodology, software design, and programming. Creating autonomous synthetic creatures that can adapt in games requires a different kind of understanding of AI than the classical approach used by current game programmers. The Nouvelle Game AI approach presented in this book focuses on creating embodied "animats" that behave in an intelligent and realistic manner. In particular, learning AI is generating much interest among the game development community, as these modern techniques can be used to optimize the development process. Book jacket.