How grammar introduces asymmetry into cognitive structures: compositional semantics, metaphors, and schematological hybrids

This paper presents a preliminary and tentative formulation of a novel empirical generalization governing the relationship between grammar and cognition across a variety of independent domains. Its point of departure is an abstract distinction between two kinds of cognitive structures: symmetric and asymmetric. While in principle any feature whatsoever has the potential for introducing asymmetry, this paper focuses on one specific feature, namely thematic-role assignment. Our main empirical finding concerns the role of language, or, more specifically, grammar, in effecting and maintaining the distinction between symmetric and asymmetric cognitive structures. Specifically, whereas symmetric structures devoid of thematic-role assignment more commonly occur in a non-grammatical and usually also non-verbal medium, asymmetric structures involving thematic-role assignment are more likely to be associated with a grammatical medium. Our work draws together three independent strands of empirical research associated with three diverse phenomenological domains: compositional semantics, metaphors and schematological hybrids. These three domains instantiate conceptual combinations, bringing together two or more subordinate entities into a single superordinate entity. For compositional semantics this consists of a juxtaposition of constituent signs to form a single more complex sign; for metaphors this entails the bringing together of two different concepts in order to produce a comparison; while for schematological hybrids this involves the combination of different entities to form a single new hybrid entity. Our empirical results reveal a remarkable parallelism between the above three domains. Within each domain, symmetric structures tend to be associated with a non-verbal or otherwise non-grammatical medium, while asymmetric structures are more frequently associated with a grammatical medium. Thus, within each domain, grammar introduces asymmetry. More specifically, we find that in all three domains, the asymmetry in question is one that involves the assignment of thematic roles. To capture this effect, we posit two distinct levels, or tiers, of cognition: non-grammatical cognition, more commonly associated with symmetric structures, and grammatical cognition more conducive to asymmetric structures. Within each of the three phenomenological domains, we find the distinction between non-grammatical and grammatical cognition to be manifest in three independent realms, phylogeny, ontogeny, and the architecture of human cognition. Thus, grammar constitutes the driving force behind the transition from symmetric to asymmetric cognitive structures.Introduction Thematic Role Assignment Compositional Semantics Metaphors Schematological Hybrids Conclusio

Phase Transition and Strong Predictability

The statistical mechanical interpretation of algorithmic information theory (AIT, for short) was introduced and developed in our former work [K. Tadaki, Local Proceedings of CiE 2008, pp.425-434, 2008], where we introduced the notion of thermodynamic quantities into AIT. These quantities are real functions of temperature T>0. The values of all the thermodynamic quantities diverge when T exceeds 1. This phenomenon corresponds to phase transition in statistical mechanics. In this paper we introduce the notion of strong predictability for an infinite binary sequence and then apply it to the partition function Z(T), which is one of the thermodynamic quantities in AIT. We then reveal a new computational aspect of the phase transition in AIT by showing the critical difference of the behavior of Z(T) between T=1 and T<1 in terms of the strong predictability for the base-two expansion of Z(T).Comment: 5 pages, LaTeX2e, no figure

ENERGY FUTURES AND CLIMATE CHANGE MITIGATION: A QUALITATIVE AND QUANTITATIVE ASSESSMENT IN THE SUSTAINABLE DEVELOPMENT GOALS PERSPECTIVE

The 2030 Agenda – with its seventeen Sustainable Development Goals (SDGs) – and the Paris Agreement represent a turning point for Sustainable Development. For the first time, the world’s leaders have developed an integrated sustainable agenda and ratified a global agreement to reduce greenhouse gas emissions, recognizing that the current development model is not sustainable from an economic, social and environmental standpoint. Sustainable energy, being the driver of social and economic growth, will play a crucial role in the achievement of the 2030 Agenda objectives and for closing the gap to the mitigation targets of 2°C and 1.5°C defined by the Paris Agreement.This paper aims at showing that SDG 7 – the SDG dedicated to energy – can be considered as an enabling factor for the implementation of the other SDGs, and in particular of SDG 13, the goal on climate action.  This relation is bidirectional, meaning that mitigation of climate change is positively driven by the deployment of sustainable energy services, and that the integration of climate change mitigation strategies into national policies positively contributes to the deployment of sustainable energy solutions. The paper also shows that future energy scenarios, compatible with the above-mentioned ambitious mitigation targets, are in line with the SDG 7 Targets that can benefit from the strong technology innovation that those scenarios will require. The digitalization of the electricity sector through smart meters for demand side management and smart grids for distributed renewable generation is one example of the role of technology innovation toward SDG 7

Excitation quenching in chlorophyll-carotenoid antenna systems: 'coherent' or 'incoherent'

Plants possess an essential ability to rapidly down-regulate light-harvesting in response to high light. This photoprotective process involves the formation of energy-quenching interactions between the chlorophyll and carotenoid pigments within the antenna of Photosystem II (PSII). The nature of these interactions is currently debated, with, among others, ‘incoherent’ or ‘coherent’ quenching models (or a combination of the two) suggested by a range of time-resolved spectroscopic measurements. In ‘incoherent quenching’, energy is transferred from a chlorophyll to a carotenoid and is dissipated due to the intrinsically short excitation lifetime of the latter. ‘Coherent quenching’ would arise from the quantum mechanical mixing of chlorophyll and carotenoid excited state properties, leading to a reduction in chlorophyll excitation lifetime. The key parameters are the energy gap, Δ=Car−Chl, Δ ε = ε C a r − ε C h l , and the resonance coupling, J, between the two excited states. Coherent quenching will be the dominant process when −<Δ<, − J < Δ ε < J , i.e., when the two molecules are resonant, while the quenching will be largely incoherent when Chl>(Car+). ε C h l > ( ε C a r + J ) . One would expect quenching to be energetically unfavorable for Chl<(Car−). ε C h l < ( ε C a r − J ) . The actual dynamics of quenching lie somewhere between these limiting regimes and have non-trivial dependencies of both J and Δ. Δ ε . Using the Hierarchical Equation of Motion (HEOM) formalism we present a detailed theoretical examination of these excitation dynamics and their dependence on slow variations in J and Δ. Δ ε . We first consider an isolated chlorophyll–carotenoid dimer before embedding it within a PSII antenna sub-unit (LHCII). We show that neither energy transfer, nor the mixing of excited state lifetimes represent unique or necessary pathways for quenching and in fact discussing them as distinct quenching mechanisms is misleading. However, we do show that quenching cannot be switched ‘on’ and ‘off’ by fine tuning of Δ Δ ε around the resonance point, Δ=0. Δ ε = 0. Due to the large reorganization energy of the carotenoid excited state, we find that the presence (or absence) of coherent interactions have almost no impact of the dynamics of quenching. Counter-intuitively significant quenching is present even when the carotenoid excited state lies above that of the chlorophyll. We also show that, above a rather small threshold value of >10cm−1 J > 10 c m − 1 quenching becomes less and less sensitive to J (since in the window −<Δ< − J < Δ ε < J the overall lifetime is independent of it). The requirement for quenching appear to be only that >0. J > 0. Although the coherent/incoherent character of the quenching can vary, the overall kinetics are likely robust with respect to fluctuations in J and Δ. Δ ε . This may be the basis for previous observations of NPQ with both coherent and incoherent features

Landmark-based updating of the head direction system by retrosplenial cortex: A computational model

Maintaining a sense of direction is fundamental to navigation, and is achieved in the brain by a network of head direction (HD) cells, which update their signal using stable environmental landmarks. How landmarks are detected and their stability determined is still unknown. Recently we reported a new class of cells (Jacob et al., 2017), the bidirectional cells, in a brain region called retrosplenial cortex (RSC) which relays environmental sensory information to the HD system. A subset of these cells, between-compartment (BC) cells, are directionally tuned (like ordinary HD cells) but follow environmental cues in preference to the global HD signal, resulting in opposing (i.e., bidirectional) tuning curves in opposed environments. Another subset, within-compartment (WC) cells, unexpectedly expressed bidirectional tuning curves in each one of the opposed compartments. Both BC and WC cells lost directional tuning in an open field, unlike HD cells. Two questions arise from this discovery: (i) how do these cells acquire their unusual response properties, and (ii) what are they for? We propose that bidirectional cells reflect a two-way interaction between local direction, as indicated by the visual environment, and global direction as signaled by the HD system. We suggest that BC cells receive strong inputs from visual cues, while WC cells additionally receive modifiable inputs from HD cells which, due to Hebbian coactivation of visual inputs plus two opposing sets of HD inputs, acquire the ability to fire in both directions. A neural network model instantiating this hypothesis is presented, which indeed forms both BC and WC bidirectional cells with properties similar to those seen experimentally. We then demonstrate how tuning specificity degrades when WC/BC cells are exposed to multiple directionalities, replicating the observed loss of WC and BC directional tuning in the open field. We suggest that the function of these neurons is to assess the stability of environmental landmarks, thereby determining their utility as reference points by which to set the HD sense of direction. This role could extend to the ability of the HD system to prefer distal over proximal landmarks, and to correct for parallax errors

Cooperative Traffic Control Solution for Vehicle Transition from Autonomous to Manual Mode exploiting Cellular Vehicle-to-Everything (C-V2X) Technology

Nowadays, automated vehicles represent a promising technology to face the stringent requirements for safety and traffic efficiency in the automotive environment. Driving responsibilities will be gradually addressed to the machine, and the role of human pilots will be progressively reduced to passengers. The interaction between passengers and the automated system will create different risks that have not been considered in the past. In particular, the transition between autonomous and manual mode is understood as a risky situation. During the transition, the driver manifests driving irregularities and loss of situation awareness that may endanger himself and other participants on the road. Hence, the vehicle transitioning needs a higher quantity of space around it to be considered safe. However, no effective solution has been developed yet. This thesis aims to design a cooperative traffic control solution that will manage the movements of the group of vehicles to increase the free space around the one transitioning. It will exploit another tool that will play a fundamental role in the future of the automotive industry: connected vehicles technology. C-V2X technology will create a medium for vehicles to exchange information and cooperate. A controller managing the cooperation between vehicles has been developed to help a smooth and safe vehicle repositioning. The controller will be positioned in a centralized computing facility and it will communicate with all the vehicles. The controller defines rules to move vehicles together and enlarge the free space around the vehicle transitioning without collisions. The rules are modeled by a spring-mass-damper system, that can be exploited to control the longitudinal behavior of automated vehicles. In particular, the spring-mass-damper system can manage smooth migration between vehicle dispositions without oscillations. A computer simulation is used to test the performance of the proposed traffic control system. The simulation environment is constituted by three main components: traffic flow, controller and communication network. It has been tested with the software VEINS, which provides interaction between a network simulator (OMNeT++) and a traffic simulator (SUMO). The traffic flow represents the interactions between vehicles. The controller analyzes the data and sends control messages to all vehicles. The communication network will share the data concerning vehicles’ position and speed and control messages. The proposed cooperative vehicle control system demonstrated to reduce the risks of the transition with the smooth motion of vehicles. The controller is able to achieve the safety requirements without reducing the level of comfortability of vehicles’ passengers

Reconstruction and systems analysis of metabolism in apicomplexan parasites Toxoplasma gondii and Plasmodium falciparum

Understanding of metabolism in disease-causing microorganisms promotes drug design through the identification of the enzymes whose activity is indispensable for important cellular functions of the pathogens. Nowadays such understanding arises from experimental as well as computational studies. These two approaches, long considered as rather orthogonal, in recent years began to converge and form a new field, where they are utilized as complementary. In this thesis I present my endeavors in bringing closer the fields of infection and systems biology with a particular focus on large-scale metabolic models and their analysis. Integrative, interdisciplinary nature of my project also included multiple experimental inputs as well as original experimental efforts on investigating model-derived hypotheses. In the scope of this thesis I explored metabolism of two of the most experimentally amenable apicomplexan species â human parasites Plasmodium falciparum and Toxoplasma gondii. As a foundation for the studies included in this thesis I used standard as well as recently developed computational algorithms, existing experimental datasets and innovative context- specific assumptions. I produced an extensive survey of the modeling efforts previously applied for studying metabolism of P. falciparum and available large-scale experimental datasets in comparison with the similar efforts made in other species. Further, I curated an existing model of metabolism in Plasmodium falciparum with respect to an up-to-date primary literature on metabolism of the parasite and addressed several important assumptions implicitly made in this model. Using a state-of-the-art approach, I reconstructed de novo a comprehensive metabolic model of T. gondii, and performed an extensive computational analysis to explore its metabolic needs and capabilities. I identified and classified the minimal set of substrates the parasite utilizes for growth, along with the genes and pairs of genes that are essential for cellular functions such as growth and energy metabolism. Subsequently, several of the model-driven hypotheses were confirmed experimentally, while for validation of the majority of the computational predictions forthcoming high-throughput approaches shall be used. Every confirmed hypothesis expands the scope of our knowledge on peculiarities of metabolism in apicomplexan parasites and hence can serve as an input for the pipeline of developing novel medicines