Critically examines Nick Bostrom's "Are You Living in a Simulation?" and underlying concepts.

The Lorentz transformations can be interpreted either in ontological or epistemic terms. The invariance of c could have a different interpretation, as a side-effect of the exclusive role of light as signal between frames of reference. It would not necessarily pose an absolute cosmic speed limit. Time dilation would have a different explanation.

The mass-energy relationship does not derive logically from Special Relativity, since it is not a function of relative velocity. It might be a function of acceleration. ‘Mass’ is re-examined as a stand-alone concept.

The Value Alignment Problem (VAP) presupposes that artificial general intelligence (AGI) is desirable and perhaps inevitable. As usually conceived, it is one side of the more general issue of mutual control between agonistic agents. To be fully autonomous, an AI must be an autopoietic system (an agent), with its own purposiveness. In the case of such systems, Bostrom’s orthogonality thesis is untrue. The VAP reflects the more general problem of interfering in complex systems, entraining the possibility of unforeseen consequences. Instead (...) of consolidating skill in an agent that acts on its own behalf, it would be safer and as effective to create ad hoc task-oriented software tools. What motivates the quest to create a superintelligence with a will of its own? Is a general intelligence even possible that is not an agent? Such questions point to the need to clarify what general intelligence is, what constitutes an agent, whose values and intentionality are to be aligned, and how feasible “friendliness” is. (shrink)

For diverse reasons, the problem of phenomenal consciousness is persistently challenging. Mental terms are characteristically ambiguous, researchers have philosophical biases, secondary qualities are excluded from objective description, and philosophers love to argue. Adhering to a regime of efficient causes and third-person descriptions, science as it has been defined has no place for subjectivity or teleology. A solution to the “hard problem” of consciousness will require a radical approach: to take the point of view of the cognitive system itself. To facilitate (...) this approach, a concept of agency is introduced along with a different understanding of intentionality. Following this approach reveals that the autopoietic cognitive system constructs phenomenality through acts of fiat, which underlie perceptual completion effects and “filling in”—and, by implication, phenomenology in general. It creates phenomenality much as we create meaning in language, through the use of symbols that it assigns meaning in the context of an embodied evolutionary history that is the source of valuation upon which meaning depends. Phenomenality is a virtual representation to itself by an executive agent (the conscious self) tasked with monitoring the state of the organism and its environment, planning future action, and coordinating various sub- agencies. Consciousness is not epiphenomenal, but serves a function for higher organisms that is distinct from that of unconscious processing. While a strictly scientific solution to the hard problem is not possible for a science that excludes the subjectivity it seeks to explain, there is hope to at least psychologically bridge the explanatory gulf between mind and matter, and perhaps hope for a broader definition of science. (shrink)

Lack of coherence in concepts of intelligence has implications for artificial intelligence. ‘Intelligence’ is an abstraction grounded in human experience while supposedly freed from the embodiment that is the basis of that experience. In addition to physical instantiation, embodiment is a condition of dependency, of an autopoietic system upon an environment, which thus matters to the system itself. The autonomy and general capability sought in artificial general intelligence implies artificially re-creating the organism’s natural condition of embodiment. That may not be (...) feasible; and, if feasible, it may not be controllable or advantageous. (shrink)

The problem of cognitive domains is that one can conceive the territory only as it is portrayed in the map. It involves conflating the domain of representation with the domain of what it represents. This is a category mistake: there are essential qualitative and quantitative differences between map and territory. The output of cognitive processes, both perceptual and scientific, is recycled as the input.

Abstract: The purpose of this essay is to explore the nature and role of art as a human phenomenon from a broadly cognitive perspective. Like science and religion, art serves to mediate the unknown, at once to embrace and to defend against the fundamental mystery of existence. Thus, it may challenge the status quo while generally serving to maintain it. Art tracks the individuation of subjectivity, serving the pleasure principle, yet is appropriated by the collective’s commitment to the reality principle. (...) While science and religion close in on serious answers to fundamental questions, art opens up possibilities toward playfulness, uselessness, imagination, and arbitrary whim. Though art has no unifying definition, meaning, or intent through time and across cultures, it remains important to people, both to do and to enjoy. It serves to counterbalance the naive realism of science, the “rationality” of modern society, and the literalism of text-based religion. While its allegiance is divided, its most worthy intent is to aid us to confront and negotiate the great mystery revealed to us in consciousness. (shrink)

Much of the basic non-technical vocabulary of artificial intelligence is surprisingly ambiguous. Some key terms with unclear meanings include intelligence, embodiment, simulation, mind, consciousness, perception, value, goal, agent, knowledge, belief, optimality, friendliness, containment, machine and thinking. Much of this vocabulary is naively borrowed from the realm of conscious human experience to apply to a theoretical notion of “mind-in-general” based on computation. However, if there is indeed a threshold between mechanical tool and autonomous agent (and a tipping point for singularity), projecting (...) human conscious-level notions into the operations of computers creates confusion and makes it harder to identify the nature and location of that threshold. There is confusion, in particular, about how—and even whether—various capabilities deemed intelligent relate to human consciousness. This suggests that insufficient thought has been given to very fundamental concepts—a dangerous state of affairs, given the intrinsic power of the technology. It also suggests that research in the area of artificial general intelligence may unwittingly be (mis)guided by unconscious motivations and assumptions. While it might be inconsequential if philosophers get it wrong (or fail to agree on what is right), it could be devastating if AI developers, corporations, and governments follow suit. It therefore seems worthwhile to try to clarify some fundamental notions. (shrink)

Abstract: Given an embodied evolutionary context, the (conscious) organism creates phenomenality and establishes a first-person point of view with its own agency, through intentional relations made by its own acts of fiat, in the same way that human observers create meaning in language.

Why consciousness cannot be explained scientifically (causally) and requires an approach that incudes agency.

Despite confident assertions by science and religion, no one can be absolutely certain what is going on in this drama we call existence. We are haunted by the realization that we are finite, vulnerable, mortal, and perhaps meaningless creatures. The ambiguity in all experience leaves us in a state of fundamental uncertainty, with a buried anxiety underlined by fear of mortality. However, the ability to consider consciousness as a personal creation enables us to appreciate experience for its own sake, despite (...) uncertainty and anxiety. It is the basis of art, and also of tolerance, epistemic responsibility, and the creative ability to think, perceive, and act outside the box. (shrink)

The Found and the Made: science, reason, and the reality of nature is a critical study of the role of abstraction and mathematical modeling in science, and how these affect the relationship of science and society to nature. This is a précis of the book, which questions the bias inherited from our religious and classical roots: that physical reality must be well defined, passive, and inert—a matter of divine or human specification. Determinism, time-reversibility, and isolated systems are persisting artifacts of (...) such a view, along with the notion that nature can be definitively grasped in a ‘theory of everything.’ However, if nature is autonomous in the way that organisms are (and mechanisms are not) it can be expected to self-organize in ways that elude mechanist treatment. Science could advance by taking a more self-reflective stance, acknowledging its role as a form of human cognition and examining the role of its practices and tacit assumptions in producing knowledge. Specifically, it could extend concepts of agency to non-living systems, in order to better explore self-organization in the cosmos at large. Such a shift in thinking might encourage society to extend to nature its natural legal rights. -/- . (shrink)