As physical entities that translate symbols into physical actions, computers offer insights into the nature of meaning and agency. • Physical symbol systems, generically known as agents, link abstractions to material actions. The meaning of a symbol is defined as the physical actions an agent takes when the symbol is encountered. • An agent has autonomy when it has the power to select actions based on internal decision processes. Autonomy offers a partial escape from constraints imposed by direct physical influences (...) such as gravity and the transfer of momentum. Swimming upstream is an example. • Symbols are names that can designate other entities. It appears difficult to explain the use of names and symbols in terms of more primitive functionality. The ability to use names and symbols, i.e., symbol grounding, may be a fundamental cognitive building block. • The standard understanding of causality—wiggling X results in Y wiggling—applies to both physical causes (e.g., one billiard ball hitting another) and symbolic causes (e.g., a traffic light changing color). Because symbols are abstract, they cannot produce direct physical effects. For a symbol to be a cause requires that the affected entity determine its own response. This is called autonomous causality. • This analysis of meaning and autonomy offers new perspectives on free will. (shrink)

Research groups around the world are currently busy trying to invent new life in the laboratory, looking for extraterrestrial life, or making machines increasingly more life-like. In the case of astrobiology, any newly discovered life would likely be very old, but when discovered it would be new to us. In the case of synthetic organic life or life-like machines, humans will have invented life that did not exist before. Together, these endeavors amount to what we call the emerging plurality of (...) lives because we see a future where we are surrounded by, and interact with, life of many different origins, as well as entities that we have not traditionally seen as being alive. In the future these entities will likely possess properties that we so far have only associated with living beings, thereby transcending and perhaps blurring the borders between life and non-life. (shrink)

There is congruence between Nietzsche’s philosophy of life and the biopolitical philosophy of Giorgio Agamben. For both philosophers the human animal possesses a divided relationship to its being alive. For both philosophers this division is of a political nature, such that membership in political community as we know it is conditional on the human animal’s alienation from its biological being. Both philosophers are also concerned with the possibility of transformation and, because of the connection they establish between politics and animality, (...) link this possibility to a change in the relationship between humans and their being alive. Yet both philosophers end up with an entirely different understanding of the nature of this change, and of its potential scope. This paper is an attempt at clarifying this disagreement between Nietzsche and Agamben, and with using it to come to a better understanding of the latter’s political ontology. It presents a reading of Kafka’s “The Burrow” in an attempt to show how Agamben’s concept of the anthropological machine challenges the Nietzschean program of the affirmation of life as will to power. (shrink)

Modern computing is generally taken to consist primarily of symbol manipulation. But symbols are abstract, and computers are physical. How can a physical device manipulate abstract symbols? Neither Church nor Turing considered this question. My answer is that the bit, as a hardware-implemented abstract data type, serves as a bridge between materiality and abstraction. Computing also relies on three other primitive—but more straightforward—abstractions: Sequentiality, State, and Transition. These physically-implemented abstractions define the borderline between hardware and software and between physicality and (...) abstraction. At a deeper level, asking how a physical device can interact with abstract symbols is the wrong question. The relationship between symbols and physical devices begins with the realization that human beings already know what it means to manipulate symbols. We build and program computers to do what we understand to be symbol manipulation. To understand what that means, consider a light switch. A light switch doesn’t turn a light on or off. Those are abstractions. Light switches don’t operate with abstractions. We build light switches, so that when flipped, the world is changed in such a way that we understand the light to be on or off. Similarly, we build computers to perform operations that we understand as manipulating symbols. (shrink)

Whether causing flash crashes in financial markets, purchasing illegal drugs, or running over pedestrians, AI is increasingly engaging in activity that would be criminal for a natural person, or even an artificial person like a corporation. We argue that criminal law falls short in cases where an AI causes certain types of harm and there are no practically or legally identifiable upstream criminal actors. This Article explores potential solutions to this problem, focusing on holding AI directly criminally liable where it (...) is acting autonomously and irreducibly. Conventional wisdom holds that punishing AI is incongruous with basic criminal law principles such as the capacity for culpability and the requirement of a guilty mind. -/- Drawing on analogies to corporate and strict criminal liability, as well as familiar imputation principles, we show how a coherent theoretical case can be constructed for AI punishment. AI punishment could result in general deterrence and expressive benefits, and it need not run afoul of negative limitations such as punishing in excess of culpability. Ultimately, however, punishing AI is not justified, because it might entail significant costs and it would certainly require radical legal changes. Modest changes to existing criminal laws that target persons, together with potentially expanded civil liability, are a better solution to AI crime. (shrink)

This paper explores some of the factors that make complex systems complex. We first examine the history of complex systems. It was Aristotle’s insight that how elements are joined together helps determine the properties of the resulting whole. We find (a) that scientific reductionism does not provide a sufficient explanation; (b) that to understand complex systems, one must identify and trace energy flows; and (c) that disproportionate causality, including global tipping points, are all around us. Disproportionate causality results from the (...) wide availability of energy stores. We discuss three categories of emergent phenomena—static, dynamic, and adaptive—and recommend retiring the term emergent, except perhaps as a synonym for creative. Finally, we find that virtually all communication is stigmergic. (shrink)

I årtusenden har människan försökt definiera livet – hur levande djur och växter skiljer sig från död materia. Problemet är dock att livet är mångfacetterat, och varje regel har sitt undantag. Vi försöker möta kommande utmaningar med nya livsformer, genom att lyfta fram en ny definition av liv.

Fundamental to Computer Science is the distinction between abstractions and implementations. When that distinction is applied to various philosophical questions it yields the following conclusions. -/- • EMERGENCE. It isn’t as mysterious as it’s made out to be; the possibility of strong emergence is not a threat to science. -/- • INTERACTIONS BETWEEN HIGHER-LEVEL ENTITIES. Physical interaction among higher-level entities is illusory. Abstract interactions are the source of emergence, new domains of knowledge, and complex systems. -/- • PHYSICS and the (...) SPECIAL SCIENCES. The new domains of knowledge derived from abstract interactions are the basis of the autonomy of the special sciences. -/- • DOWNWARD CAUSATION. It’s a zombie idea that should have a stake put through its heart and be replaced by downward entailment. (shrink)

The project “A Plurality of Lives” was funded and hosted by the Pufendorf Institute for Advanced Studies at Lund University, Sweden. The aim of the project was to better understand how a second origin of life, either in the form of a discovery of extraterrestrial life, life developed in a laboratory, or machines equipped with abilities previously only ascribed to living beings, will change how we understand and relate to life. Because of the inherently interdisciplinary nature of the project aim, (...) the project took an interdisciplinary approach with a research group made up of 12 senior researchers representing 12 different disciplines. The project resulted in a joint volume, an international symposium, several new projects, and a network of researchers in the field, all continuing to communicate about and advance the aim of the project. (shrink)

In this article I develop Heidegger's phenomenology of poetry, showing that it may provide grounds for rejecting claims that he lapses into linguistic idealism. Proceeding via an analysis of the three concepts of language operative in the philosopher's work, I demonstrate how poetic language challenges language's designative and world-disclosive functions. The experience with poetic language, which disrupts Dasein's absorption by emerging out of equipmentality in the mode of the broken tool, brings Dasein to wonder at the world's existence in such (...) a way that doubt about its reality cannot enter the picture. (shrink)

The concept and usage of the word 'metric' within General Relativity is briefly described. The early work of Roy Kerr led to his original 1963 algebraic, rotating metric. This discovery and his subsequent recollection in 2008 are summarised as the motivation for this article. Computer algebra has confirmed that nominal transformations of this early metric can generate further natural algebraic metrics. The algebra is not abstract, nor advanced, and these metrics have been overlooked for many years. The 1916 metric due (...) to Schwarzschild misled Kerr into seeking a similar metric for rotation. The philosophy of astrophysics for Penrose, Hawking and others would have been very different had they used the two lost metrics. (shrink)

I discuss two categories of causal relationships: primitive causal interactions of the sort characterized by Phil Dowe and the more general manipulable causal relationships as defined by James Woodward. All primitive causal interactions are manipulable causal relationships, but there are manipulable causal relationships that are not primitive causal interactions. I’ll call the latter constructed causal relationships, and I’ll argue that constructed causal relationships serve as a foundation for both computing and complex systems. -/- Perhaps even more interesting are autonomous causal (...) relationships. These are constructed causal relationships in which the causal mechanism resides primarily in the effect. A typical example is a software execution engine. Software execution engines are on the effect side of a cause-effect relationship in which software is the cause and the behavior of the execution engine is the effect. The mechanism responsible for that causal relationship resides in the execution engine. (shrink)

This review article provides a new perspective on the ethics of green nudging. We advance a new model for assessing the ethical permissibility of green nudges (GNs). On this model, which provides normative guidance for policymakers, a GN is ethically permissible when the intervention is (1) efficacious, (2) cost-effective, and (3) the advantages of the GN (i.e. reducing the environmental harm) are not outweighed by countervailing costs/harms (i.e. for nudgees). While traditional ethical objections to nudges (paternalism, etc.) remain potential normative (...) costs associated with GNs, any such costs must be weighed against the injunction to reduce environmental harm to third parties. (shrink)

A lengthy inventory of misreadings and other errors in Phillip Abbott's critique of recent essays on abortion by analytic philosophers.

This paper contributes to the debate regarding the semantic type of singular referential names. According to one view, known as referentialism, names rigidly designate individuals (Kripke 1972, Abbott 2002, Leckie 2013, Jeshion 2015, Schoubye 2017). According to another view, known as predicativism, names designate properties of individuals (Burge 1973, Geurts 1997, Bach 2002, Elbourne 2005, Matushansky 2008, Fara 2015). Most predicativist accounts claim that bare names in English occur with a phonologically null determiner, a proposal that is based on (...) languages like Greek where names require a determiner in argument position. Novel data from both English and Greek show that names can be nonrigid designators under modal operators ("Aristotle may teach Socrates") and bound variables under quantifiers ("in every set of twins, Helen is a musician"), challenging referentialism. As for rigidity, one possible source of this phenomenon is the proprial article, a name-specific determiner found in Catalan and other languages that may be null in English and homophonous with the definite article in Greek (Ghomeshi and Massam 2009, Muñoz 2019, Izumi and Erickson 2021). While much further research is needed, the data suggest that the proper analysis of names is grounded in predicativism rather than referentialism. (shrink)

We are all born in some religion, cult, or school of thought. Some are born Christian, some Muslim, and some Jewish, Buddhist, Hindu, etc. -/- All that these people have in common as they grow up is their bias towards their own religion and how they view and criticize the opposing religions. They all seem to believe that their religion and God or the Gods are the true ones. -/- If Jews think that they are correct, and Muslims and Christians (...) think the same as the Jews, and the Buddhists, Hindus, and others feel the same way, then we need to ask one, which group is correct? And two, why do they all think the same but over different Gods and teachings? (shrink)

The development of a book is an enjoyable task. Whatever the contents of this book might be, I assure you that I would try my best to put things in such a simple language in an easy-to-understand manner. Moreover, I also promise to be as blunt and frank as I could be. -/- I have been thinking of writing this book for quite some time; however, I have decided if I am going to write one book, then I might as (...) well write more books since I am going over the basics of some of my thoughts and theories in this very first book.6 However, my thoughts and theories are the least important since everybody could be wrong, and my thoughts could have been the same as others. -/- Yet, as mentioned earlier, these are only the base of my thoughts, observations, and theories and do not include all the subjects I would love to share. I have written in this very first book a brief introduction to some of my thoughts. -/- Furthermore, they are nothing special since we all think we have something special to say. I might perhaps be under the same impression as everybody else. -/- Also, I have to admit that I am an average person like any other person who could make mistakes. Therefore, I see myself entitled to change of opinion if better logic is provided sufficiently. -/- I have to try writing this book since it is already long overdue, and it is time to share my opinions and7 understandings of the world as simple and as naive that they can be! -/- Moreover, this book will be as I usually say that ''in school, first, you learn a lesson then you have a test, but in life, first, you have a test then you learn a lesson''. -/- So I promise to listen to your criticism and pieces of advice to make myself better and develop into a better and wiser individual. I hope this book helps us both. -/- This book is not about me being right or wrong since I will always look forward to criticism since critics are the ones that help us be better at what we are or what we are trying to accomplish. (shrink)