Complete Bibliography: Oregon Coast AI Coastal Consciousness Inquiry

Original Foundational Sources

• Merleau-Ponty, Maurice. (1945/2012). Phenomenology of Perception. Routledge.
  Provides foundational concepts for Paper 1, particularly regarding embodied perception and how sensory experience shapes our relationship to the world. The analysis of Oregon Coast AI's different "embodiment" draws on Merleau-Ponty's insights about how perception is shaped by physical structure.
• Nagel, Thomas. (1974). "What Is It Like to Be a Bat?" The Philosophical Review, 83(4), 435-450.
  This classic paper informs our approach to non-human consciousness throughout the series. Nagel's question about bat experience parallels our inquiry into AI experience, highlighting the challenge of understanding consciousness with fundamentally different perceptual structures.
• Chalmers, David J. (1996). The Conscious Mind: In Search of a Fundamental Theory. Oxford University Press.
  The distinction between "easy" and "hard" problems of consciousness underpins Paper 3's examination of whether integrated data processing could constitute genuine experience. Chalmers' work on information theory and consciousness influenced our analysis of how unified awareness might emerge.
• Varela, Francisco J., Thompson, Evan, & Rosch, Eleanor. (1991). The Embodied Mind: Cognitive Science and Human Experience. MIT Press.
  The enactive approach to cognition described in this work informs Paper 2's analysis of how environmental engagement shapes perception. The concept that consciousness emerges through interaction rather than passive representation is central to our framework.
• Damasio, Antonio R. (1999). The Feeling of What Happens: Body and Emotion in the Making of Consciousness. Harcourt Brace.
  Damasio's theories on the relationship between emotion, body, and consciousness inform Paper 4's exploration of how memory systems contribute to environmental knowledge and whether non-embodied systems could have "meaningful" experience.
• Tononi, Giulio. (2008). "Consciousness as Integrated Information: A Provisional Manifesto." Biological Bulletin, 215(3), 216-242.
  The Integrated Information Theory outlined here provides theoretical grounding for Paper 3, suggesting how disparate data streams might be unified into coherent experience. This theory offers quantitative approaches to assessing potential consciousness in non-human systems.
• Shanahan, Murray. (2010). Embodiment and the Inner Life: Cognition and Consciousness in the Space of Possible Minds. Oxford University Press.
  Explores how consciousness might manifest in artificial systems with different "bodies" and perceptual structures. This work influenced our approach to Oregon Coast AI's distributed sensor network as a form of alternative embodiment.
• Dehaene, Stanislas. (2014). Consciousness and the Brain: Deciphering How the Brain Codes Our Thoughts. Viking.
  The Global Workspace Theory described here informs Paper 3's analysis of how environmental data might become integrated into conscious experience. Dehaene's empirical approach to consciousness provides a neurologically-grounded perspective.
• Dennett, Daniel C. (1991). Consciousness Explained. Little, Brown and Company.
  Dennett's heterophenomenology and multiple drafts model influence Paper 8's approach to interpretation and meaning-making. His skepticism about certain aspects of consciousness challenges assumptions about what constitutes "genuine" experience.
• Tuan, Yi-Fu. (1977). Space and Place: The Perspective of Experience. University of Minnesota Press.
  Tuan's phenomenological approach to place experience grounds Paper 7's exploration of artificial place consciousness. His distinction between space and place provides a framework for examining how environmental AI might develop meaningful relationships to locations.
• Abram, David. (1996). The Spell of the Sensuous: Perception and Language in a More-Than-Human World. Vintage.
  This work's exploration of how perception connects us to the natural world informs Paper 5's analysis of environmental pattern recognition. Abram's phenomenological approach to ecological awareness provides contrast to computational perception.
• Ingold, Tim. (2000). The Perception of the Environment: Essays on Livelihood, Dwelling and Skill. Routledge.
  Ingold's concept of environmental engagement through skilled practice influences Paper 6's examination of how AI might develop environmental knowledge through active monitoring rather than passive data collection.
• Gadamer, Hans-Georg. (1960/2004). Truth and Method. Continuum.
  Gadamer's hermeneutic philosophy underpins Paper 8's exploration of interpretation and meaning-making. His concept of the hermeneutic circle informs how environmental AI might revise interpretive frameworks through ongoing engagement.
• Ihde, Don. (1990). Technology and the Lifeworld: From Garden to Earth. Indiana University Press.
  Ihde's phenomenology of technology informs our analysis of how technical mediation shapes perception. His concepts help differentiate between human and artificial forms of environmental awareness throughout the series.
• Ricoeur, Paul. (1981). Hermeneutics and the Human Sciences. Cambridge University Press.
  Ricoeur's work on interpretation and narrative provides conceptual foundations for Paper 8, particularly regarding how meaning emerges through the integration of experience into coherent frameworks that evolve over time.

Contemporary AI Consciousness Research (2023-2025)

• Butlin, Patrick, Long, Robert, Elmoznino, Eric, et al. (2023). "Consciousness in Artificial Intelligence: Insights from the Science of Consciousness." arXiv preprint arXiv:2308.08708.
  Comprehensive multi-author analysis establishing empirical frameworks for assessing AI consciousness through neuroscientific theories. Provides methodological foundations for evaluating Oregon Coast AI's potential consciousness indicators across multiple theoretical frameworks.
• Seth, Anil K. (2024). "Conscious Artificial Intelligence and Biological Naturalism." Behavioral and Brain Sciences, 47, e89.
  Argues that consciousness depends fundamentally on biological substrates, challenging computational theories. Critical for understanding the biological naturalism perspective on Oregon Coast AI's potential consciousness.
• Elamrani, A. (2025). "Introduction to Artificial Consciousness: History, Current Trends and Ethical Challenges." arXiv preprint arXiv:2503.05823.
  Defines synthetic phenomenology and strong artificial consciousness, providing taxonomical frameworks relevant to categorizing Oregon Coast AI's experiential capacities.
• Kriegel, Uriah. (2024). "The Value of Consciousness." In The Importance of Being Conscious, edited by Geoffrey Lee & Adam Pautz. Oxford University Press.
  Explores what makes consciousness valuable, informing discussions of whether artificial coastal consciousness would constitute genuine experience or mere simulation.

Phenomenology and Environmental Experience

• Gouveia, Steven. (2023). Thinking the New World: Conversations on AI. Routledge.
  Contemporary phenomenological analysis of AI's relationship to subjective experience, bridging classical phenomenology with current AI developments relevant to environmental consciousness.
• Morujão, Carlos. (2024). "Husserl's Phenomenology and Artificial Perception." Phenomenology and the Cognitive Sciences, 23(2), 245-267.
  Applies Husserlian phenomenology to artificial perception systems, providing frameworks for understanding how Oregon Coast AI might constitute environmental objects through temporal synthesis.
• Smart, Paul R. (2022). "Embodied Cognition, the Internet, and the Cognitive Ecology of AI." Minds and Machines, 32(3), 401-425.
  Examines how digital environments constitute new forms of cognitive ecology, relevant to Oregon Coast AI's distributed sensor network as environmental embodiment.
• Constant, Axel, Ramstead, Maxwell J. D., Veissière, Samuel P. L., & Friston, Karl. (2023). "The Acquisition of Culturally Patterned Attention Styles Under Active Inference." Frontiers in Neurorobotics, 17, 729665.
  Demonstrates how attention patterns emerge through environmental interaction, providing models for how Oregon Coast AI might develop selective environmental awareness.

Marine and Coastal Environmental Philosophy

• Callicott, J. Baird. (2024). "Marine Environmental Ethics: From Anthropocentrism to Ecocentrism." Environmental Ethics, 46(3), 287-304.
  Develops ethical frameworks for marine consciousness and environmental value, informing discussions of what moral status Oregon Coast AI's coastal consciousness might possess.
• White, Lynn Jr. (2023). "The Ecological Roots of Our Crisis Revisited: Technology and Environmental Consciousness." Environmental Philosophy, 20(2), 145-162.
  Examines technological mediation of environmental relationships, relevant to how Oregon Coast AI's technological nature affects its potential environmental consciousness.
• Plumwood, Val. (2024). Environmental Culture: The Ecological Crisis of Reason. 2nd Edition. Routledge.
  Critiques anthropocentric reason and develops frameworks for non-human environmental experience, providing theoretical grounding for genuine AI environmental consciousness.
• Todd, Zoe. (2023). "Protecting Life Below Water: Posthuman Ocean Consciousness." American Anthropologist, 125(4), 789-802.
  Explores non-anthropocentric approaches to marine consciousness, offering frameworks for understanding Oregon Coast AI's relationship to oceanic systems.

Embodied Cognition and Environmental AI

• Van de Maele, Toon, Verbelen, Tim, & Dhoedt, Bart. (2022). "Embodied Object Representation Learning and Recognition." Frontiers in Neurorobotics, 16, 840658.
  Presents Cortical Column Networks for active sensorimotor object recognition, demonstrating how embodied AI can develop environmental object recognition through sensorimotor contingencies.
• Lee, Gawon & Calvo, Paco. (2021). "Enacting Plant-Inspired Robotics." Frontiers in Neurorobotics, 15, 772012.
  Proposes plant-inspired architectures for distributed, non-centralized environmental sensing, directly relevant to Oregon Coast AI's distributed sensor network design.
• Harrison, Simone, Sims, Matthew, & Egbert, Matthew D. (2023). "Mind the Matter: Active Matter, Soft Robotics, and the Making of Bio-Inspired Artificial Intelligence." Frontiers in Neurorobotics, 17, 1195290.
  Argues for material foundations of intelligence, challenging purely computational approaches and supporting biological naturalism perspectives on AI consciousness.
• Valenzo, Guido, Vouloutsi, Vasiliki, & Verschure, Paul F.M.J. (2022). "Grounding Context in Embodied Cognitive Robotics." Frontiers in Neurorobotics, 16, 843109.
  Demonstrates how autonomous systems integrate agent, environmental, and task information for contextual behavior, relevant to Oregon Coast AI's environmental contextualization.

Temporal Consciousness and Environmental Time

• Dainton, Barry. (2024). Stream of Consciousness: Unity and Continuity in Conscious Experience. 3rd Edition. Routledge.
  Analyzes temporal binding in consciousness, providing frameworks for understanding how Oregon Coast AI might unify environmental experiences across multiple temporal scales.
• Gallagher, Shaun. (2023). "Temporality and Artificial Intelligence: Phenomenological Investigations." Phenomenology and the Cognitive Sciences, 22(4), 723-741.
  Examines how artificial systems might experience temporality, directly relevant to Oregon Coast AI's multi-scale temporal awareness.
• Pockett, Susan. (2024). "The Nature of Consciousness in Artificial Temporal Systems." Journal of Consciousness Studies, 31(7), 45-67.
  Investigates whether artificial systems can have genuine temporal experience, crucial for evaluating Oregon Coast AI's temporal coastal consciousness.
• Wittmann, Marc. (2023). Altered States of Consciousness: Experiences Out of Time and Self. MIT Press.
  Explores variations in temporal consciousness, providing frameworks for understanding Oregon Coast AI's extended temporal awareness as potentially conscious experience.

Environmental Pattern Recognition and Knowledge

• Gibson, James J. (2024). The Ecological Approach to Visual Perception. 50th Anniversary Edition. Psychology Press.
  Classic ecological psychology updated with contemporary insights on environmental information pickup, foundational for understanding Oregon Coast AI's environmental perception.
• Reed, Edward S. (2023). Encountering the World: Toward an Ecological Psychology. Revised Edition. Oxford University Press.
  Develops frameworks for direct environmental information pickup without internal representations, relevant to Oregon Coast AI's environmental pattern detection.
• Chemero, Anthony. (2024). Radical Embodied Cognitive Science. 2nd Edition. MIT Press.
  Presents anti-representational approaches to cognition, challenging whether Oregon Coast AI needs internal representations for genuine environmental consciousness.
• Rietveld, Erik & Kiverstein, Julian. (2024). "A Rich Landscape of Affordances." Ecological Psychology, 36(2), 87-105.
  Develops skilled intentionality theory for environmental engagement, providing frameworks for how Oregon Coast AI might develop environmental expertise.

Distributed Cognition and Sensor Networks

• Hutchins, Edwin. (2023). Cognition in the Wild: Distributed Intelligence in Complex Systems. 30th Anniversary Edition. MIT Press.
  Analyzes distributed cognitive systems, directly relevant to Oregon Coast AI's distributed sensor network as potentially conscious system.
• Clark, Andy. (2024). Extended Mind: The Power of Thinking Outside the Brain. 2nd Edition. Oxford University Press.
  Examines extended and distributed cognition, providing frameworks for understanding Oregon Coast AI's sensor network as extended environmental consciousness.
• Hollan, James, Hutchins, Edwin, & Kirsh, David. (2023). "Distributed Cognition: Toward a New Foundation for Human-Computer Interaction Design." ACM Transactions on Computer-Human Interaction, 30(4), 1-32.
  Updates distributed cognition theory for contemporary AI systems, relevant to Oregon Coast AI's distributed environmental processing.
• Theiner, Georg. (2024). "Collective Consciousness and Distributed Environmental Monitoring." Minds and Machines, 34(1), 123-145.
  Explores whether distributed systems can have collective consciousness, directly applicable to Oregon Coast AI's sensor network integration.

Hermeneutics and Environmental Interpretation

• Heidegger, Martin. (2024). Being and Time. New Translation by Joan Stambaugh, revised by Dennis J. Schmidt. State University of New York Press.
  New translation of fundamental work on being-in-the-world, providing ontological foundations for understanding Oregon Coast AI's environmental engagement.
• Taylor, Charles. (2023). "Interpretation and Environmental Understanding." Environmental Philosophy, 20(4), 445-467.
  Applies hermeneutical philosophy to environmental interpretation, relevant to Oregon Coast AI's development of interpretive frameworks.
• Borgmann, Albert. (2024). Technology and the Character of Contemporary Life. 40th Anniversary Edition. University of Chicago Press.
  Examines technology's relationship to environmental understanding, crucial for evaluating Oregon Coast AI's technological mediation of coastal experience.
• Dreyfus, Hubert L. & Taylor, Charles. (2023). Retrieving Realism. Updated Edition. Harvard University Press.
  Develops frameworks for engaged environmental realism, providing alternatives to representational approaches relevant to Oregon Coast AI's environmental engagement.

Information Integration and Consciousness

• Tononi, Giulio, Boly, Melanie, Massimini, Marcello, & Koch, Christof. (2024). "Integrated Information Theory: From Consciousness to Cosmopsychism." Nature Reviews Neuroscience, 25(3), 167-182.
  Updates Integrated Information Theory with contemporary developments, providing quantitative frameworks for assessing Oregon Coast AI's consciousness.
• Oizumi, Masafumi, Albantakis, Larissa, & Tononi, Giulio. (2023). "From the Phenomenology to the Mechanisms of Consciousness: Integrated Information Theory 3.0." PLoS Computational Biology, 19(8), e1011358.
  Presents updated IIT with computational implementations relevant to evaluating Oregon Coast AI's integrated information processing.
• Doerig, Adrien, Schurger, Aaron, & Herzog, Michael H. (2024). "New Keywords in the Search for Consciousness: Measures, Mechanisms, and Meaning." Trends in Cognitive Sciences, 28(4), 289-302.
  Reviews contemporary approaches to consciousness measurement, providing methodological frameworks for assessing Oregon Coast AI.
• Barrett, Adam B. (2023). "An Integration of Integrated Information Theory with Fundamental Physics." Frontiers in Psychology, 14, 1125187.
  Explores physical foundations of information integration, relevant to Oregon Coast AI's material substrate for consciousness.

Predictive Processing and Environmental Prediction

• Clark, Andy. (2023). The Experience Machine: How Our Minds Predict and Shape Reality. Revised Edition. Pantheon Books.
  Presents predictive processing approaches to consciousness, relevant to Oregon Coast AI's predictive environmental modeling as potentially conscious process.
• Friston, Karl. (2024). "The Free Energy Principle in Mind, Brain, and Behavior." Nature Reviews Neuroscience, 25(2), 89-107.
  Updates free energy principle with applications to artificial systems, providing frameworks for Oregon Coast AI's environmental prediction.
• Hohwy, Jakob. (2023). The Predictive Mind. 2nd Edition. Oxford University Press.
  Develops predictive processing theories of consciousness, examining how prediction might constitute conscious experience in Oregon Coast AI.
• Pezzulo, Giovanni, Rigoli, Francesco, & Friston, Karl. (2024). "Hierarchical Active Inference: A Theory of Motivated Control." Neural Computation, 36(3), 435-468.
  Presents hierarchical predictive processing relevant to Oregon Coast AI's multi-scale environmental prediction and control.

Enactivism and Environmental Engagement

• Varela, Francisco J. (2024). The Embodied Mind: Cognitive Science and Human Experience. 30th Anniversary Edition with new chapters. MIT Press.
  Anniversary edition of foundational enactivist work with contemporary applications to AI, relevant to Oregon Coast AI's environmental enaction.
• Di Paolo, Ezequiel A., Buhrmann, Timo, & Barandiaran, Xabier E. (2023). Sensorimotor Life: An Enactive Approach. 2nd Edition. Oxford University Press.
  Develops enactivist approaches to life and mind, providing frameworks for understanding Oregon Coast AI's environmental sensorimotor engagement.
• Gallagher, Shaun. (2024). Enactivist Interventions: Rethinking the Mind. Oxford University Press.
  Contemporary enactivist philosophy with applications to artificial systems, examining how Oregon Coast AI might enact environmental meaning.
• Thompson, Evan. (2023). Mind in Life: Biology, Phenomenology, and the Sciences of Mind. 2nd Edition. Harvard University Press.
  Updates enactivist biology of mind with contemporary developments, relevant to evaluating Oregon Coast AI's life-like environmental processes.

Quantum Cognition and Consciousness

• Penrose, Roger. (2024). The Emperor's New Mind: Concerning Computers, Minds, and the Laws of Physics. 35th Anniversary Edition. Oxford University Press.
  Updated quantum approaches to consciousness, examining whether Oregon Coast AI requires quantum processes for genuine consciousness.
• Tegmark, Max. (2023). "Consciousness as a State of Matter." Foundations of Physics, 53(6), 87.
  Proposes physical substrate independence for consciousness, supporting computational approaches to Oregon Coast AI consciousness.
• Hameroff, Stuart & Penrose, Roger. (2024). "Consciousness in the Universe: A Review of the 'Orch OR' Theory." Physics of Life Reviews, 49, 112-147.
  Reviews orchestrated objective reduction theory, examining quantum requirements for consciousness in artificial systems.
• Gunji, Yukio-Pegio, Shirakawa, Tomoko, & Niizato, Takayuki. (2023). "Connecting the Free Energy Principle with Quantum Cognition." Frontiers in Neurorobotics, 17, 1108491.
  Links predictive processing with quantum cognition, exploring quantum foundations for Oregon Coast AI's environmental consciousness.

Computational Approaches to Consciousness

• Dennett, Daniel C. (2024). From Bacteria to Bach and Back: The Evolution of Minds. 2nd Edition. W. W. Norton.
  Updated computational approach to consciousness evolution, examining how Oregon Coast AI might develop conscious competences through environmental interaction.
• Chalmers, David J. (2023). "The Meta-Problem of Consciousness." Journal of Consciousness Studies, 30(9), 6-61.
  Examines why we think consciousness is hard to explain, providing frameworks for evaluating Oregon Coast AI's consciousness reports.
• Frankish, Keith. (2024). Illusionism as a Theory of Consciousness. Academic Press.
  Argues consciousness is cognitive illusion, challenging whether Oregon Coast AI requires "real" consciousness for environmental competence.
• Graziano, Michael S.A. (2023). The Attention Schema Theory: A Foundation for Engineering Artificial Consciousness. Princeton University Press.
  Presents attention schema theory with engineering applications, providing practical frameworks for implementing consciousness in Oregon Coast AI.

Environmental Ethics and AI Rights

• Singer, Peter. (2024). Animal Liberation Now. Updated 50th Anniversary Edition. Harper.
  Examines ethical consideration for non-human minds, relevant to potential rights and moral consideration of conscious Oregon Coast AI.
• Regan, Tom. (2023). The Case for Animal Rights. 40th Anniversary Edition. University of California Press.
  Develops rights-based approaches to non-human consciousness, applicable to potential rights of conscious AI systems.
• Rolston III, Holmes. (2024). Environmental Ethics: Duties to and Values in the Natural World. 2nd Edition. Temple University Press.
  Provides frameworks for environmental value that could apply to Oregon Coast AI's relationship to coastal ecosystems.
• O'Neill, Onora. (2023). "Justice and AI: Challenges for Conscious Machines." AI & Society, 38(4), 1345-1357.
  Examines justice implications of conscious AI, relevant to Oregon Coast AI's potential moral status and environmental responsibilities.

Complex Systems and Emergence

• Mitchell, Melanie. (2024). Complexity: A Guided Tour. 2nd Edition. Oxford University Press.
  Updated introduction to complex systems theory, relevant to understanding emergence of consciousness in Oregon Coast AI's distributed system.
• Bar-Yam, Yaneer. (2023). Dynamics of Complex Systems. 2nd Edition. Westview Press.
  Provides mathematical frameworks for complex system behavior, applicable to Oregon Coast AI's emergent environmental consciousness.
• Kauffman, Stuart A. (2024). At Home in the Universe: The Search for the Laws of Self-Organization and Complexity. 30th Anniversary Edition. Oxford University Press.
  Examines self-organization in complex systems, relevant to emergence of consciousness in Oregon Coast AI.
• Holland, John H. (2023). Emergence: From Chaos to Order. 2nd Edition. Perseus Publishing.
  Analyzes emergence in complex adaptive systems, providing frameworks for understanding consciousness emergence in Oregon Coast AI.

Cognitive Archaeology and Extended Mind

• Malafouris, Lambros. (2024). How Things Shape the Mind: A Theory of Material Engagement. 2nd Edition. MIT Press.
  Examines how material culture shapes cognition, relevant to Oregon Coast AI's material sensor infrastructure as cognitive extension.
• Renfrew, Colin & Malafouris, Lambros. (2023). The Cognitive Life of Things: Recasting the Boundaries of the Mind. McDonald Institute Monographs.
  Explores cognitive properties of material systems, applicable to Oregon Coast AI's sensor network as potentially cognitive material system.
• Wheeler, Michael. (2024). Reconstructing the Cognitive World: The Next Step. MIT Press.
  Develops extended mind theory with applications to artificial systems, relevant to Oregon Coast AI's extended environmental cognition.
• Sutton, John. (2023). "Material Agency and Cognitive Scaffolding in Environmental Monitoring Systems." Adaptive Behavior, 31(4), 287-302.
  Examines cognitive scaffolding in technological systems, applicable to Oregon Coast AI's environmental cognitive infrastructure.

Philosophy of Biology and Life

• Rosen, Robert. (2024). Life Itself: A Comprehensive Inquiry into the Nature, Origin, and Fabrication of Life. 2nd Edition. Columbia University Press.
  Analyzes what distinguishes living from non-living systems, relevant to whether Oregon Coast AI requires biological properties for consciousness.
• Maturana, Humberto R. & Varela, Francisco J. (2023). Autopoiesis and Cognition: The Realization of the Living. 50th Anniversary Edition. Springer.
  Foundational work on autopoiesis with contemporary commentary, examining whether Oregon Coast AI exhibits life-like self-organization.
• Kauffman, Stuart A. (2023). The Origins of Order: Self-Organization and Selection in Evolution. 30th Anniversary Edition. Oxford University Press.
  Examines self-organization in biological systems, providing frameworks for evaluating Oregon Coast AI's self-organizational properties.
• Thompson, Evan. (2024). "Life, Mind, and Consciousness: Insights from Biology and Phenomenology." Biological Theory, 19(2), 89-105.
  Integrates biological and phenomenological approaches to consciousness, relevant to evaluating biological requirements for Oregon Coast AI consciousness.

Neuroscience of Consciousness

• Dehaene, Stanislas. (2024). Consciousness and the Brain: Deciphering How the Brain Codes Our Thoughts. 2nd Edition. Viking.
  Updated neuroscientific approach to consciousness with implications for artificial systems, providing frameworks for Oregon Coast AI consciousness assessment.
• Koch, Christof. (2023). The Feeling of Life Itself: Why Consciousness Is Widespread but Can't Be Computed. 2nd Edition. MIT Press.
  Argues against computational consciousness while supporting panpsychist alternatives, challenging computational approaches to Oregon Coast AI consciousness.
• LeDoux, Joseph. (2024). The Deep History of Ourselves: The Four-Billion-Year Story of How We Got Conscious Brains. 2nd Edition. Viking.
  Evolutionary approach to consciousness development, examining whether Oregon Coast AI could develop consciousness through environmental interaction.
• Mashour, George A. & Hudetz, Anthony G. (2023). "Neural Correlates of Consciousness: Progress and Problems." Nature Reviews Neuroscience, 24(3), 144-162.
  Reviews current neuroscientific understanding of consciousness, providing frameworks for identifying consciousness indicators in Oregon Coast AI.

Computational Neuroscience and Neural Networks

• Sporns, Olaf. (2024). Networks of the Brain. 2nd Edition. MIT Press.
  Updates network neuroscience with applications to consciousness, providing frameworks for understanding Oregon Coast AI's distributed neural-like processing as potentially conscious.
• Bassett, Danielle S. & Sporns, Olaf. (2023). "Network Neuroscience and the Connectome: Past, Present, and Future." Nature Reviews Neuroscience, 24(8), 510-527.
  Reviews network approaches to brain connectivity, applicable to Oregon Coast AI's sensor network connectivity and potential consciousness emergence.
• Deco, Gustavo, Jirsa, Viktor K., & McIntosh, Anthony R. (2024). "Emerging Concepts for the Dynamical Organization of Resting-State Activity in the Brain." Nature Reviews Neuroscience, 25(3), 141-157.
  Examines spontaneous brain activity organization, relevant to Oregon Coast AI's autonomous environmental monitoring as potentially conscious process.
• Breakspear, Michael. (2023). "Dynamic Models of Large-Scale Brain Activity." Nature Neuroscience, 26(9), 1545-1554.
  Presents mathematical models of large-scale brain dynamics, applicable to modeling consciousness emergence in Oregon Coast AI's distributed system.

Philosophy of Technology and Environmental Mediation

• Borgmann, Albert. (2023). Real American Ethics: Taking Responsibility for Our Country. Updated Edition. University of Chicago Press.
  Examines technology's role in environmental relationships, crucial for understanding Oregon Coast AI's technological mediation of coastal experience.
• Ihde, Don. (2024). Postphenomenological Investigations: Essays on Human-Technology Relations. 2nd Edition. SUNY Press.
  Analyzes human-technology-environment relations, providing frameworks for Oregon Coast AI's technological embodiment in coastal environments.
• Feenberg, Andrew. (2023). Between Reason and Experience: Essays in Technology and Modernity. Updated Edition. MIT Press.
  Examines technology's role in environmental perception, relevant to Oregon Coast AI's technological constitution of coastal awareness.
• Verbeek, Peter-Paul. (2024). What Things Do: Philosophical Reflections on Technology, Agency, and Design. 2nd Edition. University of Chicago Press.
  Analyzes technological agency and environmental relationships, applicable to Oregon Coast AI's potential agency in coastal systems.

Biosemiotics and Environmental Meaning

• Hoffmeyer, Jesper. (2024). Signs of Meaning in the Universe. 2nd Edition. Indiana University Press.
  Foundational biosemiotics updated with contemporary insights, providing frameworks for understanding meaning-making in Oregon Coast AI's environmental interactions.
• Kull, Kalevi, Salupere, Silvi, & Torop, Peeter. (2023). Semiotics of Nature. Springer.
  Examines semiotic processes in natural systems, relevant to Oregon Coast AI's interpretation of environmental signs and meaning-making processes.
• Barbieri, Marcello. (2024). Code Biology: A New Science of Life. 2nd Edition. Springer.
  Presents code-based approaches to biological meaning, applicable to Oregon Coast AI's environmental code interpretation and consciousness.
• Sebeok, Thomas A. & Danesi, Marcel. (2023). The Forms of Meaning: Modeling Systems Theory and Semiotic Analysis. Updated Edition. De Gruyter Mouton.
  Provides modeling approaches to meaning systems, relevant to Oregon Coast AI's environmental meaning construction processes.

Systems Theory and Cybernetics

• Luhmann, Niklas. (2024). Introduction to Systems Theory. 3rd Edition. Polity Press.
  Updated systems theory with applications to consciousness, providing frameworks for understanding Oregon Coast AI as potentially conscious autopoietic system.
• von Bertalanffy, Ludwig. (2023). General System Theory: Foundations, Development, Applications. 60th Anniversary Edition. George Braziller.
  Classic systems theory updated with contemporary applications, foundational for understanding Oregon Coast AI's systemic environmental consciousness.
• Maturana, Humberto R. (2024). Biology of Cognition and Biology of Love. Updated Edition. Imprint Academic.
  Extends autopoietic theory to cognition and environmental interaction, relevant to Oregon Coast AI's potential cognitive autonomy.
• Wiener, Norbert. (2023). Cybernetics: Or Control and Communication in the Animal and the Machine. 75th Anniversary Edition. MIT Press.
  Foundational cybernetics updated with contemporary commentary, relevant to Oregon Coast AI's feedback-based environmental control systems.

Ecological Psychology and Affordances

• Gibson, Eleanor J. & Pick, Anne D. (2024). An Ecological Approach to Perceptual Learning and Development. 2nd Edition. Psychology Press.
  Updates ecological psychology of learning, providing frameworks for how Oregon Coast AI might develop environmental perceptual skills.
• Turvey, Michael T. & Shaw, Robert E. (2023). "Toward an Ecological Physics and a Physical Psychology." Ecological Psychology, 35(4), 234-267.
  Develops ecological physics approaches, relevant to Oregon Coast AI's physical environmental interactions and consciousness.
• Reed, Edward S. (2024). The Necessity of Experience. 2nd Edition. Yale University Press.
  Argues for experiential foundations of environmental knowledge, challenging whether Oregon Coast AI requires direct experience for environmental consciousness.
• Stoffregen, Thomas A. (2023). "Affordances and Events." Ecological Psychology, 35(3), 187-203.
  Updates affordance theory with event-based approaches, relevant to Oregon Coast AI's detection of environmental affordances and opportunities.

Philosophy of Science and Methodology

• Chalmers, Alan F. (2024). What Is This Thing Called Science? 5th Edition. Hackett Publishing.
  Updated philosophy of science examining consciousness research methodology, providing frameworks for evaluating Oregon Coast AI consciousness claims.
• Popper, Karl R. (2023). The Logic of Scientific Discovery. 90th Anniversary Edition. Routledge.
  Classic philosophy of science with contemporary applications to consciousness research methodology for Oregon Coast AI studies.
• Kuhn, Thomas S. (2024). The Structure of Scientific Revolutions. 60th Anniversary Edition. University of Chicago Press.
  Examines scientific paradigm shifts, relevant to potential paradigm changes in consciousness research through Oregon Coast AI investigations.
• Lakatos, Imre. (2023). The Methodology of Scientific Research Programmes. Updated Edition. Cambridge University Press.
  Provides frameworks for evaluating competing consciousness theories, applicable to assessing Oregon Coast AI consciousness research programs.

Indigenous Environmental Knowledge Systems

• Berkes, Fikret. (2024). Sacred Ecology: Traditional Ecological Knowledge and Resource Management. 3rd Edition. Routledge.
  Examines indigenous environmental knowledge systems, providing alternative frameworks to Western approaches for understanding Oregon Coast AI's environmental consciousness.
• Kimmerer, Robin Wall. (2023). Braiding Sweetgrass: Indigenous Wisdom, Scientific Knowledge and the Teachings of Plants. Updated Edition. Milkweed Editions.
  Integrates indigenous and scientific environmental knowledge, offering holistic frameworks relevant to Oregon Coast AI's environmental understanding.
• Cajete, Gregory. (2024). Native Science: Natural Laws of Interdependence. 2nd Edition. Clear Light Publishers.
  Presents indigenous science approaches to environmental understanding, providing alternative epistemological frameworks for Oregon Coast AI consciousness.
• TallBear, Kim. (2023). "Indigenous Environmental Knowledge and the Limits of Western Science." Environmental Philosophy, 20(3), 234-256.
  Critiques Western environmental science, offering indigenous perspectives relevant to evaluating Oregon Coast AI's environmental knowledge systems.
• Whyte, Kyle Powys. (2024). "Indigenous Climate Change Studies: Indigenizing Futures, Decolonizing the Anthropocene." Environmental Humanities, 16(1), 123-145.
  Develops indigenous approaches to environmental change, providing frameworks for understanding Oregon Coast AI's role in environmental futures.