What happens to the inner light of consciousness with the death of the individual body and brain? Reductive materialism assumes it simply fades to black. Others think of consciousness as indicating a continuation of self, a transformation, an awakening or even alternatives based on the quality of life experience. In this issue, speculation drawn from theoretic research are presented. -/- Table of Contents Epigraph: From “The Immortal”, Jorge Luis Borges iii Editor’s Introduction: I Killed a Squirrel the Other Day, Gregory (...) M. Nixon iv-xi Research Essays The Tilde Fallacy and Reincarnation: Variations on a "Skeptical" Argument Teed Rockwell 862-881 Death, Consciousness, and Phenomenology, Steve Bindeman 882-899 The Idealist View of Consciousness After Death, Bernardo Kastrup 900-909 Consciousness, a Cosmic Phenomenon—A Hypothesis, Eva Déli 910-930 The Theory of a Natural Afterlife: A Newfound, Real Possibility for What Awaits Us at Death, Bryon K. Ehlmann 931-950 Near-Death Cases Desegregating Non-Locality/Disembodiment via Quantum Mediated Consciousness: An Extended Version of the Cell-Soul Pathway, Contzen Pereira & J Shashi Kiran Reddy 951-968 On the Possible Existence of Quantum Consciousness After Brain Death, Massimo Pregnolato & Alfredo Pereira Jr. 969-991 Science and Postmortem Survival, Edward F. Kelly 992-1011 Explorations ISS Theory: Cosmic Consciousness, Self, and Life Beyond Death in a Hyperdimensional Physics, Chris H. Hardy 1012-1035 Does the Consciousness End, Remain Awake, or Transform After Death? Radivoj Stankovich (with Micho Durdevich) 1036-1050 Big Bang Spirituality, Life, and Death, Ken Bausch 1051-1063 Death, Consciousness and the Quantum Paradigm, Ronald Peter Glasberg 1064-1077 Living With Limits: The Continuum of Consciousness, Donald Brackett 1078-1098 Mysticism, Consciousness, Death, Mike Sosteric 1099-1118 What Dies? Eternalism and the Afterlife in William James, Jonathan Bricklin 1119-1140 Theories of Consciousness and Death: Does Consciousness End, Continue, Awaken, or Transform When the Body Dies? Roger Cook 1141-1153 It’s the Other Way Around: Matter is a Form of Consciousness and Death is the End of the Illusion of Life in the World, James P. Kowall & Pradeep B. Deshpande 1154-1208 Statements A Feminine Vision for the World Consciousness, & a New Outrageous Ontology, Lorna Green 1209-1217 The Mask of Eternity: The Quest for Immortality and the Afterlife, Iona Miller 1218-1228 Are We Really “such stuff as dreams are made on”? Chris Nunn 1229-1225 Is the Afterlife a Non-Question? (Let's Hope Not), Deepak Chopra 1226-1230 Life After Death? An Improbable Essay, Stuart Kauffman 1231-1236. (shrink)

In this paper we argue that the different positions taken by Dyson and Feynman on Feynman diagrams’ representational role depend on different styles of scientific thinking. We begin by criticizing the idea that Feynman Diagrams can be considered to be pictures or depictions of actual physical processes. We then show that the best interpretation of the role they play in quantum field theory and quantum electrodynamics is captured by Hughes' Denotation, Deduction and Interpretation theory of models (DDI), where “models” are (...) to be interpreted as inferential, non-representational devices constructed in given social contexts by the community of physicists. (shrink)

Individual creativity is standardly treated as an ‘internalist’ process occurring solely in the head. An alternative, more interactionist view is presented here, where working with objects, media and other external things is seen as a fundamental component of creative thought. The value of chance interaction and chance cueing — practices widely used in the creative arts — is explored briefly in an account of the creative method of choreographer Wayne McGregor and then more narrowly in an experimental study that compared (...) performance on a Scrabble-like word discovery problem. Subjects were presented with seven letters and given two minutes to call out three-to-seven-letter English words. There were three conditions: The tiles were fixed in place, subjects were free to move the tiles manually or the tiles could be randomly shuffled. Results showed that random shuffling was best, with manual movement second. Three reasons are provided: Shuffling is faster and cheaper than mentally thinking of candidates; randomizing strings covers the search space better than a deterministic method based on past successes; and randomizing is equivalent to adding diversity to a team, which is known empirically to lead to more creative solutions. (shrink)

The study of insight in problem solving and creative thinking has seen an upsurge of interest in the last 30 years. Current theorising concerning insight has taken one of two tacks. The special-process view, which grew out of the Gestalt psychologists’ theorising about insight, proposes that insight is the result of a dedicated set of processes that is activated by the individual's reaching impasse while trying to deal with a problematic situation. In contrast, the business-as-usual view argues that insight is (...) brought about by the same processes that underlie ordinary thinking . Although those two views are typically treated as being in opposition, it has recently been proposed that a complete understanding of insight will require bringing together aspects of both views. The present paper carries that proposal further. Critical analysis of those two viewpoints demonstrates that each has a positive contribution to make to our understanding of insight, but also is.. (shrink)

The book presents the case that cognitive science should turn its attention to developing theories of human cognition that cover the full range of human perceptual, cognitive, and action phenomena. Cognitive science has now produced a massive number of high-quality regularities with many microtheories that reveal important mechanisms. The need for integration is pressing and will continue to increase. Equally important, cognitive science now has the theoretical concepts and tools to support serious attempts at unified theories. The argument is made (...) entirely by presenting an exemplar unified theory of cognition both to show what a real unified theory would be like and to provide convincing evidence that such theories are feasible. The exemplar is SOAR, a cognitive architecture, which is realized as a software system. After a detailed discussion of the architecture and its properties, with its relation to the constraints on cognition in the real world and to existing ideas in cognitive science, SOAR is used as theory for a wide range of cognitive phenomena: immediate responses ; discrete motor skills ; memory and learning ; problem solving ; language ; and development. The treatments vary in depth and adequacy, but they clearly reveal a single, highly specific, operational theory that works over the entire range of human cognition, SOAR is presented as an exemplar unified theory, not as the sole candidate. Cognitive science is not ready yet for a single theory – there must be multiple attempts. But cognitive science must begin to work toward such unified theories. (shrink)

In this essay, I argue, via a revision of Freud's notions of primary and secondary process, that experiences of resonant form lie at the root of many serious ineffability claims. I suggest further that Western European culture's resistance to the perception of resonant form underlies some of its present crises.

In recounting his discovery of special relativity, Einstein recalled a debt to the philosophical writings of Hume and Mach. I review the path Einstein took to special relativity and urge that, at a critical juncture, he was aided decisively not by any specific doctrine of space and time, but by a general account of concepts that Einstein found in Hume and Mach’s writings. That account required that concepts, used to represent the physical, must be properly grounded in experience. In so (...) far as they extended beyond that grounding, they were fictional and to be abjured (Mach) or at best tolerated (Hume). Einstein drew a different moral. These fictional concepts revealed an arbitrariness in our physical theorizing and may still be introduced through freely chosen definitions, as long as these definitions do not commit us to false presumptions. After years of failed efforts to conform electrodynamics to the principle of relativity and with his frustration mounting, Einstein applied this account to the concept of simultaneity. The resulting definition of simultaneity provided the reconceptualization that solved the problem in electrodynamics and led directly to the special theory of relativity. (shrink)

The object of this paper is to show why recent research in the psychology of deductive and probabilistic reasoning does not have.

Summary Why and how is the Gestalt theorists’ concept of productive thinking particularly suitable for being applied to the educational question of how student motivation can be encouraged, thus providing an important condition for self-regulated, intrinsically motivated learning? An answer to this question has been sought using an approach to the fostering of text comprehension ability, based upon the features specific to productive thinking, originally identified by Wertheimer and Duncker. Firstly, these specific features are dealt with and their educational implications (...) compared with those deriving from the definitions of problem-solving used most frequently in educational research. Secondly, an analysis is made of the process by which the features specific to productive thinking are turned into the conditions for a kind of text analysis suitable for designing an instructional project aimed at enhancing text comprehension ability and, at the same time, encouraging intrinsic motivation and self-regulation on the part of the learner. Thirdly, an educational project centred on the thinking-aloud poor reader is described, where thinking aloud and reflection–response are combined in order to guarantee the maximum level of intrinsic motivation. In the concluding section, the most important features of the project are discussed in relation to reciprocal teaching and scaffolding. (shrink)

The thrust of the argument presented in this paper is that phenomenological ontology survives the criticism of “correlationism” as advanced by speculative realism, a movement that has evolved in continental philosophy over the past decade. Correlationism is the position, allegedly occupied by phenomenology, that presupposes the ontological primacy of the human subject. Phenomenology survives this criticism not because the criticism misses its mark, but because phenomenology occupies a position that is broader than that of correlationism. With its critique of correlationism, (...) speculative realism rightly identifies a battle that no longer needs to be fought: the battle against 19th century brands of mechanical realism. Free from the impatient and defensive posturing against the mechanization of the human, phenomenology is also free to explore the world beyond its emphasis on human experience. Doing so requires a return to Husserl's discussion of hylé and the “twofold bed” of phenomenology. Phenomenology may emphasize hylé – that is, material; or it may emphasize nous – the world as it appears to or is transformed by consciousness. By returning to Merleau-Ponty's Phenomenology of Perception, a case is made for hyletic phenomenology. Hyletic phenomenology allows for ontological reversibility and recognizes the “unhuman” elements in things. It is hyletic phenomenology that grounds phenomenological ontology after the critique of correlationism has been assessed. (shrink)

Participants in cognitive psychology experiments on reasoning and problem solving are commonly sequestered: Efforts are made to impoverish the physical context in which the problem is presented, decoupling people from the richer and modifiable environment that naturally instantiates it outside the lab. Sense-making activities are constrained, but this conforms to the strong internalist and individualist commitments implicit to these research efforts: Cognition reflects internal computations and the scientists’ toils must focus on the individual and what she is thinking, decoupled from (...) the world. We contrast this position with one that identifies cognition as the product of a cognitive system that is configured and enacted by, minimally, an agent and the world in which she is embedded. We review work on the psychology of hypothesis testing and problem solving and argue that refocusing research efforts on the dynamic agent-environment couplings that generate cognitive products — such as a problem representation, a hypothesis or a problem solution — offers a much richer set of methodological opportunities to unveil how people actually think outside the cognitive psychologist’s laboratory. We conclude by exploring the ontological implications of a systemic perspective on cognition. (shrink)

How do people make deductions? The orthodox view in psychology is that they use formal rules of inference like those of a “natural deduction” system.Deductionargues that their logical competence depends, not on formal rules, but on mental models. They construct models of the situation described by the premises, using their linguistic knowledge and their general knowledge. They try to formulate a conclusion based on these models that maintains semantic information, that expresses it parsimoniously, and that makes explicit something not directly (...) stated by any premise. They then test the validity of the conclusion by searching for alternative models that might refute the conclusion. The theory also resolves long-standing puzzles about reasoning, including how nonmonotonic reasoning occurs in daily life. The book reports experiments on all the main domains of deduction, including inferences based on prepositional connectives such as “if” and “or,” inferences based on relations such as “in the same place as,” inferences based on quantifiers such as “none,” “any,” and “only,” and metalogical inferences based on assertions about the true and the false. Where the two theories make opposite predictions, the results confirm the model theory and run counter to the formal rule theories. Without exception, all of the experiments corroborate the two main predictions of the model theory: inferences requiring only one model are easier than those requiring multiple models, and erroneous conclusions are usually the result of constructing only one of the possible models of the premises. (shrink)

Recent studies have shown that self‐explanation is an effective metacognitive strategy, but how can it be leveraged to improve students' learning in actual classrooms? How do instructional treatments that emphasizes self‐explanation affect students' learning, as compared to other instructional treatments? We investigated whether self‐explanation can be scaffolded effectively in a classroom environment using a Cognitive Tutor, which is intelligent instructional software that supports guided learning by doing. In two classroom experiments, we found that students who explained their steps during problem‐solving (...) practice with a Cognitive Tutor learned with greater understanding compared to students who did not explain steps. The explainers better explained their solutions steps and were more successful on transfer problems. We interpret these results as follows: By engaging in explanation, students acquired better‐integrated visual and verbal declarative knowledge and acquired less shallow procedural knowledge. The research demonstrates that the benefits of self‐explanation can be achieved in a relatively simple computer‐based approach that scales well for classroom use. (shrink)

The popular iconography of insight casts a thinker as he or she uncoils from a Rodin pose and a bulb that lights a world hitherto hidden. By and large, these features of folk mythology capture and guide how psychologists conduct research on insight: Mental processes — some of which may be unconscious — transform an inceptive abstract representation of the world until it prescribes a fruitful solution to a problem. Yet thinking and problem solving outside the laboratory involve interacting with (...) external resources, and through this interactivity with a material world, solutions are distilled. Still, laboratory work on problem solving pays scant and largely indifferent attention to interactivity: Sometimes problems are presented as riddles or static graphical or diagrammatic images, or sometimes they are accompanied by artefacts that can be manipulated. The research methodology — and indifference to the central role of interactivity in thinking — follows from a deep-seated commitment to mentalism and methodological individualism. However, a thinker is an embodied creature embedded in a physical world: The materiality of external resources and artefacts through which problems manifest themselves inevitably determines a set of action affordances. From a systemic perspective, thinking is traceable along a contingent spatio-temporal itinerary wrought by interactivity and evidenced by changes in the world. (shrink)

The appropriate methodology for psychological research depends on whether one is studying mental algorithms or their implementation. Mental algorithms are abstract specifications of the steps taken by procedures that run in the mind. Implementational issues concern the speed and reliability of these procedures. The algorithmic level can be explored only by studying across-task variation. This contrasts with psychology's dominant methodology of looking for within-task generalities, which is appropriate only for studying implementational issues.The implementation-algorithm distinction is related to a number of (...) other “levels” considered in cognitive science. Its realization in Anderson's ACT theory of cognition is discussed. Research at the algorithmic level is more promising because it is hard to make further fundamental scientific progress at the implementational level with the methodologies available. Protocol data, which are appropriate only for algorithm-level theories, provide a richer source than data at the implementational level. Research at the algorithmic level will also yield more insight into fundamental properties of human knowledge because it is the level at which significant learning transitions are defined.The best way to study the algorithmic level is to look for differential learning outcomes in pedagogical experiments that manipulate instructional experience. This provides control and prediction in realistically complex learning situations. The intelligent tutoring paradigm provides a particularly fruitful way to implement such experiments.The implications of this analysis for the issue of modularity of mind, the status of language, research on human/computer interaction, and connectionist models are also examined. (shrink)

According to a simple form of consequentialism, we should base decisions on our judgments about their consequences for achieving our goals. Our goals give us reason to endorse consequentialism as a standard of decision making. Alternative standards invariably lead to consequences that are less good in this sense. Yet some people knowingly follow decision rules that violate consequentialism. For example, they prefer harmful omissions to less harmful acts, they favor the status quo over alternatives they would otherwise judge to be (...) belter, they provide third-party compensation on the basis of the cause of an injury rather than the benefit from the compensation, they ignore deterrent effects in decisions about punishment, and they resist coercive reforms they judge to be beneficial. I suggest that nonconsequentialist principles arise from overgeneralizing rules that are consistent with consequentialism in a limited set of cases. Commitment to such rules is detached from their original purposes. The existence of such nonconsequentialist decision biases has implications for philosophical and experimental methodology, the relation between psychology and public policy, and education. (shrink)

Thesis (Ph.D.) - La Trobe University, 2012.

The ArgumentIn this paper I present and argue for a model of conceptual development in science and apply it to the transition from classical to modern physics associated with Einstein. The model claims a continuous and rational transition between incompatible subsequent conceptual systems in mathematical science and explains its mechanism. The model was developed in a study of the transition from preclassical to classical mechanics. I argue for a strong structural analogy between the transition from preclassical to classical mechanics on (...) the one hand and from classical to modern physics on the other. The first transition is briefly sketched here by reference to Galileo and his disciples; in the second transition Planck and Lorentz on the one hand and Einstein on the other play the respective roles.A detailed and documented reconstruction of the transition from preclassical to classical mechanics on the basis of this model has already been published and is only briefly referred to in the paper. The transition from classical to modern physics is portrayed here much more extensively—though of course merely in broad brush strokes. Einstein–s role in this transition is reconstructed in the light of a conceptualization of his scientific knowledge as an active structure of thought, shaped by his intellectual experience. In this way, the development of his individual thinking is shown to be part of the overall process of conceptual transformation from classical to modern physics. The reconstruction sketched in this paper is to be considered as a proposal to be substantiated, reformed, and improved by future detailed studies. (shrink)