Measurement of Accounting Information Accessibility and Understandability based on Distance of Information-state Transition Theory

With the advent of the era of big data, the problem of information selection and decision efficiency becomes more and more important under the network environment. Accounting information is an important economic information resource, but it has been facing the dilemma between the usefulness and useable. Based on the theory of Distance of Information-state Transition, this paper describes several concepts related to information distance, discusses key issues such as target state information, state chain, transition probability, measurement rules and determine standards, analyzes the influence of information retrieval, social tagging, recommendation system and information navigation on information distance. Based on the measurement of accounting information acquisition and knowledge acquisition, this paper studies the optimization of information distance in the network environment, which provides theoretical support and practical reference for the realization of effective accounting information utilization and information architecture

A Corpora-Based Analysis of Rely on and Depend on

The ultimate goal of this paper is to provide a comparative analysis of rely on and depend on in the Corpus of Contemporary American English and the British National Corpus. The COCA clearly shows that the expression rely on government is the most preferred by Americans, followed by rely on people, and rely on data. The COCA further indicates that the expression depend on slate is the most preferred by Americans, followed by depend on government, and depend on people. The BNC shows, on the other hand, that the expression rely on others is the most preferred by the British, followed by rely on people, and rely on friends. The BNC further indicates that depend on factors and depend on others are the most preferred by the British, followed by depend on age, and depend on food. Finally, in the COCA, the nouns government, luck, welfare, people, information, state, fossil, water, family, oil, food, and things are linked to both rely on and depend on, but many nouns are not still linked to both of them. On the other hand, in the BNC, only the nouns state, chance, government, and others are linked to both rely on and depend on, but many nouns are not still linked to both rely on and depend on. It can thus be inferred from this that rely on is slightly different from depend on in its use.

Adaptive management: making recurrent decisions in the face of uncertainty

The key to wise decision-making in disciplines such as conservation, wildlife management, and epidemiology is the ability to predict consequences of management actions on focal systems. Predicted consequences are evaluated relative to programme objectives in order to select the favoured action. Predictions are typically based on mathematical models developed to represent hypotheses about management effects on system dynamics. For populations ranging from large mammals to plant communities to bacterial pathogens, demographic modelling is often the approach favoured for model development. State variables of such models may be population abundance, density, occupancy, or species richness, with corresponding vital rates such as rates of reproduction, survival, local extinction, and local colonisation. A key source of uncertainty that characterises such modelling efforts is the nature of relationships between management actions and vital rates. Adaptive management is a form of structured decision-making developed for decision problems that are recurrent and characterised by such structural uncertainty. One approach to incorporating this uncertainty is to base decisions on multiple models, each of which makes different predictions according to its underlying hypothesis. An information state of model weights carries information about the relative predictive abilities of the models. Monitoring of system state variables provides information about system responses, and comparison of these responses with model-based predictions provides a basis for updating the information state. Decisions emphasise the better-predicting model(s), leading to better decisions as the process proceeds. Adaptive management can thus produce optimal decisions now, while simultaneously reducing uncertainty for even better management in the future.

The restrictor view, without covert modals

The view that if-clauses function semantically as restrictors is widely regarded as the only candidate for a fully general account of conditionals. The standard implementation of this view assumes that, where no operator to be restricted is in sight, if-clauses restrict covert epistemic modals. Stipulating such modals, however, lacks independent motivation and leads to wrong empirical predictions. In this paper I provide a theory of conditionals on which if-clauses are uniformly interpreted as restrictors, but no covert modals are postulated. Epistemic if-clauses, like those in bare conditionals, restrict an information state parameter which is used to interpret an expressive layer of the language. I show that this theory yields an attractive account of bare and overtly modalized conditionals and solves various empirical problems for the standard view, while dispensing with its less plausible assumption.

Something Old, Something New, Something Borrowed, Something Taboo: Interaction and Creativity in Humour

In this paper we treat humorous situations as a series of events underpinned by topoi, principles of reasoning recognised within a socio-cultural community. We claim that humorous effect in jokes and other discourse is often created by the juxtaposition of topoi evoked. A prerequisite for this is that there is a shift where the interpreter of the discourse updates their information state with regard to a second topos being evoked. This view of humour is consistent with an incremental analysis of dialogue, and we therefore argue that interaction is central both for humour creation and interpretation. We point out some different ways in which topoi are juxtaposed in humorous dialogues as well as in jokes published in social media or in joke books, and take jokes from the coronavirus pandemic as an example because this makes lots of new topoi available and therefore offers the opportunity of creating novel jokes based on the juxtaposition of the new and existing topoi. We explore how the mechanisms of inference in dialogue can be applied to humour through the four elements from our title: old (existing), new (not previously existing), borrowed (associated with a different situation) and taboo (inappropriate in the context).

High success perfect transmission of 1-qubit information using purposefully delayed sharing of non-maximally entangled 2-qubit resource and repeated generalized Bell-state measurements

We propose a new scheme in which perfect transmission of 1-qubit information is achieved with high success using purposefully delayed sharing of non-maximally entangled 2-qubit resource and repeated generalized Bell-state measurements (GBSM). Alice possesses initially all qubits and she makes repeated GBSM on the pair of qubits, consisting of (1) the qubit of information state and (2) one of the two entangled resource qubits (taken alternately) until transmission with perfect fidelity is indicated. Alice then sends to Bob, the qubit not used in the last GBSM and also the result of this GBSM and Bob applies a suitable unitary transformation to replicate exactly the information state. Continued probabilistic transmission with unit fidelity is achieved by changing continuously the generalized Bell basis and also the pair of measured qubits of the collapsed states. We calculate the success probability up to the third repeated attempt of GBSM and plot it with concurrence of the entangled resource state. We also discuss the maximal average fidelity.