Quantum Information Density Functional Theory (IDFT):
Organizational decision-making and nucleation

    Bankes (2002) concludes correctly that current agent-based models (ABM’s) should be as complex as social organisms, but he also rules out prediction for computational social models. While the semi-autonomous Predator fired a Hellfire missile in Afghanistan, and future doctrine for U.S. ground forces includes “swarm tactics” (Arquilla & Ronfeldt, 2000), autonomy for artificial agents will not occur should predictability remain impossible (e.g., Harte, 2002).
    Alternatively, Bohr’s (1955) adaptation of quantum theory to the social interaction, the only model of interdependence between action and observation uncertainty (Lawless et al., 2000), led to findings that, contrasted with command or consensus decisions, democratic competition from argumentation produces superior decisions for cleaning up nuclear wastes, predicting convective weather, or improving scientific wealth, health, and reducing corruption. IDFT, an analytical extension to organizations, indicates that recruitment depends on the interaction cross-section, predicting that friendship is a synchrony of speaking and listening, that terrorists minimize detection with cooperation, and that verbal resonance pumps energy into groups. IDFT solves the difference between aggregates of individuals and groups, a mystery first identified by Allport (1962), which Luce & Raiffa (1967) concluded was insolvable with game theory.
    Axtell (2002) rightly questions the application of quantum theory to the interaction. But his belief that application supervenes validation is a test game theory has never passed. Several reasons exist to use the quantum model. The brain is a quantum information processor (French & Taylor, 1978). Luce (1963, 1997) concluded that the linear Bèkèsy-Stevens quanta model, based on detecting discrete stimulus differences between frequencies, is as successful as traditional signal detection theory. Dichotomous preferences have been quantized (Eisert et al., 1999). And based on the Penrose-Hameroff model (Hagan et al., 2002), analytically, object awareness brain waves give a minimum time to acquire objects that agrees with estimates by Crick and Koch (1998).


William LF. Lawless
Paine College
homepage.mac.com/lawlessw
lawlessw@mail.paine.edu
lawless@itd.nrl.navy.mil