The non-Darwinian evolution of behavers and behaviors

The Morphospace of Consciousness: Three Kinds of Complexity for Minds and Machines

In this perspective article, we show that a morphospace, based on information-theoretic measures, can be a useful construct for comparing biological agents with artificial intelligence (AI) systems. The axes of this space label three kinds of complexity: (i) autonomic, (ii) computational and (iii) social complexity. On this space, we map biological agents such as bacteria, bees, C. elegans, primates and humans; as well as AI technologies such as deep neural networks, multi-agent bots, social robots, Siri and Watson. A complexity-based conceptualization provides a useful framework for identifying defining features and classes of conscious and intelligent systems. Starting with cognitive and clinical metrics of consciousness that assess awareness and wakefulness, we ask how AI and synthetically engineered life-forms would measure on homologous metrics. We argue that awareness and wakefulness stem from computational and autonomic complexity. Furthermore, tapping insights from cognitive robotics, we examine the functional role of consciousness in the context of evolutionary games. This points to a third kind of complexity for describing consciousness, namely, social complexity. Based on these metrics, our morphospace suggests the possibility of additional types of consciousness other than biological; namely, synthetic, group-based and simulated. This space provides a common conceptual framework for comparing traits and highlighting design principles of minds and machines.

Augmenting salivation, but not evaluations, through subliminal conditioning of eating-related words

Correlating eating-related words (CS) with positively valenced words (US+) may augment eating-associated motivational responses (e.g., preingestive salivation) with minimal CS knowledge. We tested this claim using a subliminal conditioning procedure, where CS and US were presented under subliminal and supraliminal visual conditions. Three groups of Brazilian undergraduates (N = 69) viewed eating-related words (CS) or their scrambled counterparts (non-CS) followed by positive (US+) or neutral (US-) words. A free-selection visibility check confirmed that subliminally presented CS and non-CS had not been detected by any group. Participants exposed to CS/US+ pairings produced significantly more saliva relative to participants exposed to CS/US- and non-CS/US+ pairings. Reliable induction of salivation, coupled with null outcomes across evaluation measures, suggests that affective information related to eating can subliminally augment preingestive salivation with minimal deliberation.

An evolutionary process without variation and selection

Natural selection successfully explains how organisms accumulate adaptive change despite that traits acquired over a lifetime are eliminated at the end of each generation. However, in some domains that exhibit cumulative, adaptive change-e.g. cultural evolution, and earliest life-acquired traits are retained; these domains do not face the problem that Darwin's theory was designed to solve. Lack of transmission of acquired traits occurs when germ cells are protected from environmental change, due to a self-assembly code used in two distinct ways: (i) actively interpreted during development to generate a soma, and (ii) passively copied without interpretation during reproduction to generate germ cells. Early life and cultural evolution appear not to involve a self-assembly code used in these two ways. We suggest that cumulative, adaptive change in these domains is due to a lower-fidelity evolutionary process, and model it using reflexively autocatalytic and foodset-generated networks. We refer to this more primitive evolutionary process as self-other reorganization (SOR) because it involves internal self-organizing and self-maintaining processes within entities, as well as interaction between entities. SOR encompasses learning but in general operates across groups. We discuss the relationship between SOR and Lamarckism, and illustrate a special case of SOR without variation.

Out of the Lab: Shaping an Ecological and Constructional Cultural Systems Science

Contemporary societies face critical, interlocking, "wicked" challenges, including economic inequities and marginalization, personal and collective violence, ethnic and religious conflicts, degradation of "the commons," climate change, and more, and all of these issues clearly are grounded in behavior. An adequate culturo-behavior science could be positioned to advance and leverage research and interventions supporting community well-being, and contribute to overcoming urgent societal and global challenges. The current state of cultural systems science, however, is limited by theory and methodology, and by competition for attention with well-established research and practice opportunities related to individual-level challenges. In this article, the author explores those limitations, and suggests a more expansive perspective drawing on historical and contemporary ecological science and contemporary theories of complex systems. Research guided by established science within those disciplines offers opportunities to move cultural systems science out of the lab, and into a more adequate, environmentally rich stance drawing on ecological strategies, recursively integrating contextual observations, conceptual advances, and in vivo experimentation. Examples of each of those strategies and exploration of developmental programs of research grounded in such integration are explored.