RESEARCH BASE
Search 3,721 documents across 34 fields — every claim tier-rated by evidence
3,633 are the core, quality-scored corpus (34 lettered sections — see How We Work); the remaining 88 are cross-corpus synthesis documents (68 InterDocs, 12 Connections, 8 Theories) also indexed here.
20 results for "decision stakes"
ZB_1_17 — Cognitive Ecology and Animal Decision-Making
Cognitive ecology — the study of how animals' cognitive abilities (perception, learning, memory, decision-making) have been shaped by the ecological challenges they face — bridges behavioral ecology, comparative psycholo
G_3_24 — Post-Normal Science: Funtowicz, Ravetz, and Uncertainty
Post-normal science (PNS) is a framework for understanding and managing scientific inquiry when facts are uncertain, values in dispute, stakes high, and decisions urgent — conditions that characterize many of the most cr
T_3_15 — Decision Fatigue & Ego Depletion
Decision fatigue describes the deterioration of decision quality after a long session of decision-making, while ego depletion refers to the broader theory that self-control and willpower draw upon a limited mental resour
T_5_10 — The Psychology of Money: Behavioral Economics, Financial Decision-Making, and Wealth Psychology
The psychology of money explores how cognitive biases, emotional responses, social pressures, and personality traits systematically distort financial decision-making — departing dramatically from the "rational economic a
ZE_1_19 — Risk Ethics & the Precautionary Principle: Uncertainty, Decision-Making & Moral Responsibility
Risk ethics — the philosophical study of how moral agents should make decisions under conditions of uncertainty, incomplete information, and potentially catastrophic consequences — has become one of the most practically
T_3_06 — Psychology of Decision Making
The psychology of decision making — transformed by Kahneman & Tversky's heuristics and biases program (1970s) and formalized in prospect theory (1979, Nobel Prize in Economics 2002) — demonstrates that human judgment and
K_3_09 — Minimal Consciousness and the Threshold of Sentience
Where does consciousness begin? This question — the problem of the threshold of sentience — is one of the most challenging in consciousness studies because it requires identifying what KIND of physical system is minimall
K_4_17 — Plant and Fungal Consciousness: Intelligence without Neurons
The question of whether plants and fungi possess forms of consciousness, intelligence, or cognition has moved from philosophical speculation to active scientific investigation. Plants exhibit sophisticated information pr
K_2_05 — Unconscious Processing
The cognitive unconscious — mental processes that influence behavior, emotion, and decision-making without reaching conscious awareness — is one of the most empirically robust phenomena in psychology and neuroscience. Fa
K_2_09 — Neuroscience of Free Will
The neuroscience of free will centers on experiments testing whether conscious intention precedes or follows the neural preparation for action. Benjamin Libet's landmark 1983 experiments showed that the brain's "readines
T_4_18 — Forensic Psychology: Criminal Behavior, Assessment, and Justice
Forensic psychology — the application of psychological science to legal and criminal justice systems — encompasses criminal profiling, eyewitness testimony reliability, risk assessment of violence and recidivism, compete
ZD_1_11 — Turing Machine, Computability, and the Limits of Computation
The Turing machine — a mathematical model of computation defined by Alan Turing in his 1936 paper "On Computable Numbers, with an Application to the Entscheidungsproblem" — is the foundational formalism of theoretical co
ZD_2_06 — Ethics of AI and Algorithmic Bias
AI ethics examines the moral implications of designing, deploying, and governing artificial intelligence systems, while algorithmic bias refers to systematic errors in automated decision-making that produce unfair outcom
ZD_2_11 — Reinforcement Learning: Agents, Rewards, and Sequential Decision-Making
Reinforcement learning (RL) is a paradigm of machine learning in which an agent learns to make sequential decisions by interacting with an environment, receiving rewards (or penalties) for its actions, and adjusting its
S_1_13 — Human-AI Collaboration and Coevolution
Human-AI collaboration refers to the partnership between human cognitive strengths (intuition, creativity, ethical judgment, contextual understanding, emotional intelligence) and AI capabilities (speed, pattern recogniti
ZC_1_07 — Behavioral Economics — Nudge Theory & Decision-Making
Behavioral economics integrates psychological insights into economic models of human decision-making, challenging the neoclassical assumption of perfectly rational "Homo economicus" and documenting systematic deviations
V_4_28 — Game Theory: Strategic Decision-Making and Evolutionary Dynamics
Game theory — the mathematical study of strategic interaction among rational agents — was formalized by John von Neumann and Oskar Morgenstern in Theory of Games and Economic Behavior (1944) and transformed by John Nash'
V_3_18 — Game Theory: Strategic Decision-Making and Nash Equilibrium
Game theory — the mathematical study of strategic interaction among rational decision-makers — has become one of the most influential analytical frameworks in mathematics, economics, political science, biology, and compu
T_4_08 — Behavioral Economics and Nudge Theory
Behavioral economics integrates psychology into economic models, challenging the rational agent (homo economicus) assumption of classical economics. The field was established by Daniel Kahneman and Amos Tversky's Prospec
T_5_22 — Heuristics & Cognitive Biases: Systematic Errors in Human Judgment
Heuristics are mental shortcuts that enable fast, efficient decision-making under conditions of uncertainty — and cognitive biases are the systematic errors that result when those shortcuts misfire. The heuristics-and-bi
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