scholarly journals Abstraction of Agents Executing Online and their Abilities in the Situation Calculus

2018 ◽  
Author(s):  
Bita Banihashemi ◽  
Giuseppe De Giacomo ◽  
Yves Lespérance
Keyword(s):  
General Framework ◽  
Action Theory ◽  
Situation Calculus ◽  
Online Behavior ◽  
Low Level ◽  
Levels Of Detail ◽  
New Knowledge ◽  
High Level ◽  
Different Levels ◽  
Do So

We develop a general framework for abstracting online behavior of an agent that may acquire new knowledge during execution (e.g., by sensing), in the situation calculus and ConGolog. We assume that we have both a high-level action theory and a low-level one that represent the agent's behavior at different levels of detail. In this setting, we define ability to perform a task/achieve a goal, and then show that under some reasonable assumptions, if the agent has a strategy by which she is able to achieve a goal at the high level, then we can refine it into a low-level strategy to do so.

scholarly journals Saliency Detection by Multilevel Deep Pyramid Model

2018 ◽  
Vol 2018 ◽  
pp. 1-11 ◽  
Author(s):  
Hai Wang ◽  
Lei Dai ◽  
Yingfeng Cai ◽  
Long Chen ◽  
Yong Zhang
Keyword(s):  
Background Noise ◽  
State Of The Art ◽  
Saliency Detection ◽  
Saliency Map ◽  
Multiple Features ◽  
Low Level ◽  
Pyramid Model ◽  
High Level ◽  
Different Levels ◽  
Better Than

Traditional salient object detection models are divided into several classes based on low-level features and contrast between pixels. In this paper, we propose a model based on a multilevel deep pyramid (MLDP), which involves fusing multiple features on different levels. Firstly, the MLDP uses the original image as the input for a VGG16 model to extract high-level features and form an initial saliency map. Next, the MLDP further extracts high-level features to form a saliency map based on a deep pyramid. Then, the MLDP obtains the salient map fused with superpixels by extracting low-level features. After that, the MLDP applies background noise filtering to the saliency map fused with superpixels in order to filter out the interference of background noise and form a saliency map based on the foreground. Lastly, the MLDP combines the saliency map fused with the superpixels with the saliency map based on the foreground, which results in the final saliency map. The MLDP is not limited to low-level features while it fuses multiple features and achieves good results when extracting salient targets. As can be seen in our experiment section, the MLDP is better than the other 7 state-of-the-art models across three different public saliency datasets. Therefore, the MLDP has superiority and wide applicability in extraction of salient targets.

Do I Know What I’m Doing? Cognitive Dissonance and Action Identification Theory

2015 ◽  
Vol 18 ◽  
Author(s):  
Valérie Fointiat ◽  
Audrey Pelt
Keyword(s):  
Cognitive Dissonance ◽  
Attitude Change ◽  
Action Theory ◽  
Action Identification ◽  
Problematic Behavior ◽  
Target Behavior ◽  
Low Level ◽  
Identification Theory ◽  
High Level ◽  
Dissonance Reduction

AbstractOur main purpose was to explore hypotheses derived from the Identification of Action Theory in a particular situation that is, a dissonant situation. Thus, we varied the identification (low versus high-level) of a problematic behavior (to stop speaking for 24 hours) in the forced compliance paradigm. Two modes of dissonance reduction were presented: cognitive rationalization (classical attitude-change) and behavioral rationalization (target behavior: to stop speaking for 48 hours). As predicted, the results showed that high-level identity of action leads to cognitive rationalization whereas low-level identity leads to behavioural rationalization. Thus, participants identifying the problematic behavior at a low-level were more inclined to accept the target behavior, compared with participants identifying their problematic behavior at a higher-level. These results are of particular interest for understanding the extent to which the understanding of the discrepant act interferes with the cognitive processes of dissonance reduction.

Event Detection in Sports Video Based on Generative-Discriminative Models

2011 ◽  
pp. 143-165
Author(s):  
Guoliang Fan ◽  
Yi Ding
Keyword(s):  
Event Detection ◽  
Semantic Analysis ◽  
Building Blocks ◽  
Semantic Space ◽  
Sports Video ◽  
Low Level ◽  
Discriminative Models ◽  
Video Mining ◽  
High Level ◽  
Different Levels

Semantic event detection is an active and interesting research topic in the field of video mining. The major challenge is the semantic gap between low-level features and high-level semantics. In this chapter, we will advance a new sports video mining framework where a hybrid generative-discriminative approach is used for event detection. Specifically, we propose a three-layer semantic space by which event detection is converted into two inter-related statistical inference procedures that involve semantic analysis at different levels. The first is to infer the mid-level semantic structures from the low-level visual features via generative models, which can serve as building blocks of high-level semantic analysis. The second is to detect high-level semantics from mid-level semantic structures using discriminative models, which are of direct interests to users. In this framework we can explicitly represent and detect semantics at different levels. The use of generative and discriminative approaches in two different stages is proved to be effective and appropriate for event detection in sports video. The experimental results from a set of American football video data demonstrate that the proposed framework offers promising results compared with traditional approaches.

scholarly journals Spatial variations in the socioeconomic development of rural municipalities in the podkarpackie voivodeship

2021 ◽  
Vol 20 (2) ◽  
Author(s):  
Katarzyna Pawlewicz ◽  
Justyna Flasińska
Keyword(s):  
Socioeconomic Development ◽  
Environmental Issues ◽  
Development Pattern ◽  
Class Iii ◽  
Low Level ◽  
Multidimensional Modeling ◽  
Object Based ◽  
Rural Municipalities ◽  
High Level ◽  
Different Levels

The main goal of all territorial administration units, including municipalities, is to promote socioeconomic development. The implemented actions address a broad range of economic, social, spatial and environmental issues. Therefore, socioeconomic development is a complex and multi-dimensional concept that is difficult to evaluate in an unambiguous and objective manner. Statistical methods in object-based multidimensional modeling support such evaluations by considering numerous attributes/variables, which increases the efficiency of the analytical process. In this article, Hellwig’s development pattern method was applied to classify rural municipalities in Podkarpackie Voivodeship based on their socioeconomic development. Twenty-seven indicators were designed for the needs of the analysis with the use of Statistics Poland data for 2018. Based on the results, the municipalities were grouped into four classes with different levels of socioeconomic development. Class III was the largest group, and it was composed of 39 municipalities with a medium-low level of socioeconomic development. Class II was composed of a similar number of municipalities (38) with a medium-high level of socioeconomic development. The smallest groups were Class I containing 18 municipalities with a high level of socioeconomic development, and class IV containing 14 municipalities with a low level of development.

scholarly journals Dependency Exploitation: A Unified CNN-RNN Approach for Visual Emotion Recognition

2017 ◽  
Author(s):  
Xinge Zhu ◽  
Liang Li ◽  
Weigang Zhang ◽  
Tianrong Rao ◽  
Min Xu ◽  
...  
Keyword(s):  
Neural Network ◽  
Emotion Recognition ◽  
Feature Fusion ◽  
Feature Representation ◽  
Low Level ◽  
Learning Framework ◽  
Independent Entity ◽  
Internet Images ◽  
High Level ◽  
Different Levels

Visual emotion recognition aims to associate images with appropriate emotions. There are different visual stimuli that can affect human emotion from low-level to high-level, such as color, texture, part, object, etc. However, most existing methods treat different levels of features as independent entity without having effective method for feature fusion. In this paper, we propose a unified CNN-RNN model to predict the emotion based on the fused features from different levels by exploiting the dependency among them. Our proposed architecture leverages convolutional neural network (CNN) with multiple layers to extract different levels of features with in a multi-task learning framework, in which two related loss functions are introduced to learn the feature representation. Considering the dependencies within the low-level and high-level features, a new bidirectional recurrent neural network (RNN) is proposed to integrate the learned features from different layers in the CNN model. Extensive experiments on both Internet images and art photo datasets demonstrate that our method outperforms the state-of-the-art methods with at least 7% performance improvement.

Artificial Intelligence and Persuasion: A Construal-Level Account

2020 ◽  
Vol 31 (4) ◽  
pp. 363-380 ◽  
Author(s):  
Tae Woo Kim ◽  
Adam Duhachek
Keyword(s):  
Artificial Intelligence ◽  
Construal Level Theory ◽  
Construal Level ◽  
Artificial Agents ◽  
Artificial Agent ◽  
Persuasive Messages ◽  
Total N ◽  
Low Level ◽  
High Level ◽  
Do So

Although more individuals are relying on information provided by nonhuman agents, such as artificial intelligence and robots, little research has examined how persuasion attempts made by nonhuman agents might differ from persuasion attempts made by human agents. Drawing on construal-level theory, we posited that individuals would perceive artificial agents at a low level of construal because of the agents’ lack of autonomous goals and intentions, which directs individuals’ focus toward how these agents implement actions to serve humans rather than why they do so. Across multiple studies (total N = 1,668), we showed that these construal-based differences affect compliance with persuasive messages made by artificial agents. These messages are more appropriate and effective when the message represents low-level as opposed to high-level construal features. These effects were moderated by the extent to which an artificial agent could independently learn from its environment, given that learning defies people’s lay theories about artificial agents.

scholarly journals FEATURES OF ADAPTABILITY AND EMOTIONAL INTELLIGENCE RATIO

2021 ◽  
pp. 79-89
Author(s):  
Nataliia Podolyak
Keyword(s):  
Emotional Intelligence ◽  
Individual Differences ◽  
Empirical Study ◽  
Interpersonal Interaction ◽  
Low Level ◽  
High Level ◽  
The Relationship ◽  
Different Levels

Abstract. The article presents the results of an empirical study of the ratio of emotional intelligence and adaptability. Theoretical and empirical study of the problem revealed that emotional intelligence, which ensures the success of interpersonal interaction, can be considered as one of the indicators of adaptability and is an important property that ensures the success of adaptation. Emotional intelligence indicators have been found to be closely related to adaptive indicators, and these properties reinforce each other. The empirical part of the study was to study the relationship between indicators of emotional intelligence and indicators of personality adaptability, to identify the specifics of emotional intelligence in people with different levels of adaptability. An empirical study using valid and reliable psychodiagnostic tools revealed that there are individual differences in the manifestations of emotional intelligence in people with different levels of adaptability. The aces and profiles method found that there are differences in the manifestations of emotional intelligence in groups of people with different levels of adaptability. It is empirically established that a group of people with a high level of adaptability is generally characterized by a high level of emotional intelligence, while a group of people with a low level of adaptability demonstrates a low level of emotional intelligence. The use of the method of ranking indicators made it possible to establish the most significant manifestations of emotional intelligence in relation to adaptability. In general, the results of the study indicate that the phenomena studied function in a single phenomenological space and mutually reinforce each other.

scholarly journals The Influence of Stress Factors on the Effectiveness of Passing the Assessment by Employees with Different Levels of Creativity

2018 ◽  
Vol 9 (1) ◽  
pp. 108-123
Author(s):  
M.R. Khachaturova ◽  
A.A. Fedorova
Keyword(s):  
Stress Resistance ◽  
Stress Factors ◽  
Task Execution ◽  
Low Level ◽  
High Level ◽  
Different Levels

The skills of non-standard thinking and creativity play an important role in stressful situations. We hypothesized that stress factors influence the effectiveness of passing the assessment by employees: high level of creativity increases the effectiveness of task execution. We conducted the experiment and used J. Guilford’s technique and tasks on creativity thinking, created by T. Lubart and G. Altshuller. The sample consisted of 200 examinees (92 females and 108 males), employees of different organizations (age — from 23 to 60). The results show that time limitation as a stressful factor decreases the effectiveness of passing the assessment by employees with both low and high levels of creativity (p≤0,01). Work in a pair does not influence the effectiveness of passing the assessment regardless of the level of creativity (p≥0,05). Multitasking is stressful for employees with a low level of creativity (p≤0,01). The results of our research can be taken as principles of psychological trainings for development of employees’ stress-resistance.

scholarly journals On the question of lending to individuals with different level of self-actualization

2021 ◽  
pp. 51-69
Author(s):  
Oxana Vasil'evna Kireeva
Keyword(s):  
Financial Assistance ◽  
Ways Of Coping ◽  
Low Level ◽  
Loan Debt ◽  
Self Actualization ◽  
The Subject ◽  
Self Acceptance ◽  
High Level ◽  
Different Levels

The subject of this research is the indicators of attitude on the lending to individuals with different level of self-actualization. This article examines the differences in attitudes to lending among individuals with different levels of self-actualization. The hypothesis was tested that the higher is the level of self-actualization, the more is the likelihood of referring to constructive ways of coping with the loan debt. For verification of the hypothesis, the article employs the questionnaire “Attitude to Loans” (A. N. Demin, O. V. Kireeva, E. Y. Pedanova), Self-actualization test (SAT) by E. Shostrom (adapted by Y. E. Aleshin, L. Y. Gozman, M. V. Zagika and M. V. Kroz). The link is established between certain indicators of self-actualization, awareness and motiv for lending. It is determined that self-actualizing individuals are willing to render financial assistance in form of loans to others; while individuals with low level of self-actualization are not willing to take on a loan for others. The conclusion is made that the borrowers with low indicators of self-actualization are characterized with low level of self-acceptance, spontaneity and resistance to aggression; they are aware of the experience of relatives and friends in receiving loans; the believe that loan would help them to accomplish their dream in the nearest future and not willing to take on loan to solve other people's problems. In the subgroup of the borrowers with high level of self-actualization correlation is established between the indicators of self-actualization that characterize the peculiarities of worldview and creativity of self-actualizing personality, awareness and motives for lending. The representatives of the subgroup “pseudo-self-actualization” are characterized with low level of creativity and fear to take on loans. The acquired results can be implemented within the framework of correctional and developmental work with the borrowers and debtors.

scholarly journals Analysis of the Impact of the Stylometric Characteristics of Different Levels for the Verification of Authors of the Prose

2021 ◽  
Vol 28 (3) ◽  
pp. 260-279
Author(s):  
Alla Mikhajlovna Manakhova ◽  
Nadezhda Stanislavovna Lagutina
Keyword(s):  
Detailed Analysis ◽  
Large Volume ◽  
Structural Characteristics ◽  
Literary Texts ◽  
Low Level ◽  
Adaboost Classifier ◽  
High Level ◽  
The Impact ◽  
Different Levels

This article is dedicated to the analysis of various stylometric characteristics combinations of different levels for the quality of verification of authorship of Russian, English and French prose texts. The research was carried out for both low-level stylometric characteristics based on words and symbols and higher-level structural characteristics.All stylometric characteristics were calculated automatically with the help of the ProseRhythmDetector program. This approach gave a possibility to analyze the works of a large volume and of many writers at the same time. During the work, vectors of stylometric characteristics of the level of symbols, words and structure were compared to each text. During the experiments, the sets of parameters of these three levels were combined with each other in all possible ways. The resulting vectors of stylometric characteristics were applied to the input of various classifiers to perform verification and identify the most appropriate classifier for solving the problem. The best results were obtained with the help of the AdaBoost classifier. The average F-score for all languages turned out to be more than 92 %. Detailed assessments of the quality of verification are given and analyzed for each author. Use of high-level stylometric characteristics, in particular, frequency of using N-grams of POS tags, offers the prospect of a more detailed analysis of the style of one or another author. The results of the experiments show that when the characteristics of the structure level are combined with the characteristics of the level of words and / or symbols, the most accurate results of verification of authorship for literary texts in Russian, English and French are obtained. Additionally, the authors were able to conclude about a different degree of impact of stylometric characteristics for the quality of verification of authorship for different languages.

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