Inconsistent Phenomenon Research Articles

As an AI Language Model, "Yes I Would Recommend Calling the Police": Norm Inconsistency in LLM Decision-Making

We investigate the phenomenon of norm inconsistency: where LLMs apply different norms in similar situations. Specifically, we focus on the high-risk application of deciding whether to call the police in Amazon Ring home surveillance videos. We evaluate the decisions of three state-of-the-art LLMs — GPT-4, Gemini 1.0, and Claude 3 Sonnet — in relation to the activities portrayed in the videos, the subjects' skin-tone and gender, and the characteristics of the neighborhoods where the videos were recorded. Our analysis reveals significant norm inconsistencies: (1) a discordance between the recommendation to call the police and the actual presence of criminal activity, and (2) biases influenced by the racial demographics of the neighborhoods. These results highlight the arbitrariness of model decisions in the surveillance context and the limitations of current bias detection and mitigation strategies in normative decision-making.

Exploring the causes of frequent accidents at highway tunnel exits: Coupling analysis of the slack effect and white hole effect in extra-long tunnels

In this paper, the causes of frequent traffic accidents at the exits of highway tunnels are investigated. This study recruited 34 subjects to conduct vehicle experiments using an illumination meter, eye tracker, Smarter Eye and OBD to measure the illumination, eye movement characteristics, driving trajectory, and speed while driving in a tunnel exit. A questionnaire was used to investigate drivers’ subjective feelings while driving. The change trend of each indicator in the area near the tunnel exit was analyzed, and the relationships among the light environment, driver physiology, driving behavior, and driver psychology were explored. The psychological and physiological inconsistency phenomenon and abnormal acceleration behavior were observed at the tunnel exit, and the slack effect was verified. As the tunnel exit area is driven through, with the rapid increase in illumination, the rate of change of the driver’s pupil area increases, and the distance between the vehicle and the tunnel sidewall increases. It is unreasonable that in a tunnel exit with a poor traffic environment, some drivers experience psychological slack and tend to increase their speed and accelerate out of the tunnel. The slack effect is observed in most drivers, approximately 79.4% of the total. The white hole effect interferes with drivers’ vision and reduces their ability to obtain traffic information. The slack effect reduces drivers’ attention and increases vehicle speed. A coupling effect exists between the white hole and slack effects, which together threaten traffic safety at the tunnel exit.

One Word and Multiple Senses: John Locke’s Philosophy of Abuse of Language

This paper aims at examining the impotence of language or what is famously referred to as the phenomenon of inconsistency of language through the philosophy of John Locke on the abuse of language and with specific reference to the Eighth Edition of the Oxford Advanced Learner’s Dictionary authored by Hornby (2010). Locke as well stated that adequate signs which he also referred to as words are lost or corrupted especially when a word is given many meanings. By discussing selected entries of the dictionary, the present research intends to demonstrate how polysemanticity and the use or a word in different contexts can cause what Locke called language misuse. Illustrating in the case of particular examples, the study shows the potential consequence of this process for the language learners and users, stressing on the necessity to enhance the meticulousness of the language one will opt to use. The research concludes that there is need to resolve discrepancies that grow from these ambiguities for language teachers and lexicographers to improve meaning and communication, an idea supported by Locke’s goal of enforcing the correct usage of language among English speakers. Results imply that teachers should draw students’ attention to the fact that words’ meanings cannot be understood separately from their contexts. Language educators are advised to introduce the students to the different meanings of words and contexts of their use.

PARACONSISTENT AND PARACOMPLETE ZERMELO–FRAENKEL SET THEORY

Abstract We present a novel treatment of set theory in a four-valued paraconsistent and paracomplete logic, i.e., a logic in which propositions can be both true and false, and neither true nor false. Our approach is a significant departure from previous research in paraconsistent set theory, which has almost exclusively been motivated by a desire to avoid Russell’s paradox and fulfil naive comprehension. Instead, we prioritise setting up a system with a clear ontology of non-classical sets, which can be used to reason informally about incomplete and inconsistent phenomena, and is sufficiently similar to ${\mathrm {ZFC}}$ to enable the development of interesting mathematics. We propose an axiomatic system ${\mathrm {BZFC}}$ , obtained by analysing the ${\mathrm {ZFC}}$ -axioms and translating them to a four-valued setting in a careful manner, avoiding many of the obstacles encountered by other attempted formalizations. We introduce the anti-classicality axiom postulating the existence of non-classical sets, and prove a surprising results stating that the existence of a single non-classical set is sufficient to produce any other type of non-classical set. Our theory is naturally bi-interpretable with ${\mathrm {ZFC}}$ , and provides a philosophically satisfying view in which non-classical sets can be seen as a natural extension of classical ones, in a similar way to the non-well-founded sets of Peter Aczel [1]. Finally, we provide an interesting application concerning Tarski semantics, showing that the classical definition of the satisfaction relation yields a logic precisely reflecting the non-classicality in the meta-theory.

Thermal-textured BIM generation for building energy audit with UAV image fusion and histogram-based enhancement

Mapping Unmanned Aerial Vehicle (UAV)-based thermal images of building façades onto a Building Information Model (BIM) can greatly support building energy audit. However, accurately registering these images into BIM is challenging due to thermal image’s unique characteristics of low texture and high distortion. To address these issues, this paper proposes a new multi-source image fusion framework for registering UAV thermal images to BIM. First, a low-cost target is designed and produced using 3D printing for calibrating UAV thermal camera. The rectified thermal images are then fused with RGB images through Homography transformation, enabling thermal images to be registered accurately with BIM. Additionally, a histogram-based approach is proposed to correct the thermally inconsistent phenomenon and enhance the contrast to produce high-contrast thermal-textured BIM. Field tests confirmed a mean image fusion error of around 5.713 pixels. A case study on a masonry building demonstrated the feasibility and effectiveness of the proposed framework.

Roles of microRNA-192 in diabetic nephropathy: the clinical applications and mechanisms of action.

Diabetic nephropathy (DN) is one of the most common and intractable microvascular complications of diabetes worldwide, serving as the main cause of terminal renal disease. Due to the lack of early specific symptoms and diagnostic markers, DN severely threatens the sufferer's life. MicroRNA-192 (miR-192) was early identified in human renal cortical tissue and stored and excreted in urine as microvesicles. MiR-192 was found to be involved in the development of DN. For the first time, the present review summarized all the current evidence on the topic of the roles of miR-192 in DN. Finally, 28 studies (ten clinical trials and eighteen experimental studies) were eligible for thorough reviewing. Most of the clinical trials (7/10, 70%) indicated miR-192 might be a protective factor for DN development and progression, while the majority of experimental studies (14/18, 78%) suggested miR-192 might be a pathogenic factor for DN. Mechanistically, miR-192 interacts with various direct targeted proteins (i.e., ZEB1, ZEB2, SIP1, GLP1R, and Egr1) and signaling cascades (i.e., SMAD/TGF-β and PTEN/PI3K/AKT), together contribute to the pathogenesis of DN through epithelial-to-mesenchymal transition (EMT), extracellular matrix deposition, and fibrosis formation. The current review highlights the dual role of miR-192 in the development of DN. Low serum miR-192 expression could be applied for the early prediction of DN (the early stage of DN), while the high miR-192 level in renal tissues and urine may imply the progression of DN (the late stage of DN). Further investigations are still warranted to illustrate this inconsistent phenomenon, which may facilitate promoting the therapeutic applications of miR-192 in predicting and treating DN.

NON-CONTRACTIVE LOGICS, PARADOXES, AND MULTIPLICATIVE QUANTIFIERS

Abstract The paper investigates from a proof-theoretic perspective various non-contractive logical systems, which circumvent logical and semantic paradoxes. Until recently, such systems only displayed additive quantifiers (Grišin and Cantini). Systems with multiplicative quantifiers were proposed in the 2010s (Zardini), but they turned out to be inconsistent with the naive rules for truth or comprehension. We start by presenting a first-order system for disquotational truth with additive quantifiers and compare it with Grišin set theory. We then analyze the reasons behind the inconsistency phenomenon affecting multiplicative quantifiers. After interpreting the exponentials in affine logic as vacuous quantifiers, we show how such a logic can be simulated within a truth-free fragment of a system with multiplicative quantifiers. Finally, we establish that the logic for these multiplicative quantifiers (but without disquotational truth) is consistent, by proving that an infinitary version of the cut rule can be eliminated. This paves the way to a syntactic approach to the proof theory of infinitary logic with infinite sequents.

SOCIOLOGICAL ANALYSIS OF ADVERTISING AS A SOCIAL INSTITUTION

The article is devoted to the sociological analysis of advertising as a social institution. It is noted that the concept of "social institution" has been widely used in sociology since the 19th century and is one of the most important elements of the social structure of society. Advertising as a social institution is stable types and forms of social practice, through which the process of formation of individual, group and social ideas about the ideal model of social practice in the sphere of consumption is streamlined, and ways of implementing this model for a given person, group, society as a whole are proposed. The institutional approach in sociology involves the analysis of the structure, functions (both explicit and latent, as well as dysfunctions) of a particular social institution. The article analyzes the functions of advertising (which include economic - stimulating consumers to purchase goods, which thereby contributes to the growth of business activity, an increase in investment and the number of jobs; social - advertising tools are increasingly used to solve acute social problems; political - advertising as a means of fighting for votes, ideological - advertising is becoming one of the most important factors in the formation of a person's worldview, psychological - advertising affects the desires and dreams of the buyer; educational - in the process of viewing advertising, as well as the introduction of new technologies of goods and services about which it talks, a person can draw information from absolutely all spheres of life, aesthetic - the best examples of advertising messages from the time of their first appearance to the present day can be considered works of applied art). Dysfunctions of advertising in modern society are also considered. Dysfunction of a social institution is a phenomenon of inconsistency between the activities of a social institution and existing social needs or negative consequences of its functioning. Dysfunctions of advertising are analyzed by the author from two angles - from a social and moral point of view and from an economic point of view. The author identifies the main characteristics and trends that determine the modern development of advertising on a global scale.

Inhibition of specific signaling pathways rather than epigenetic silencing of effector genes is the leading mechanism of innate tolerance.

Macrophages activated through a pattern-recognition receptor (PRR) enter a transient state of tolerance characterized by diminished responsiveness to restimulation of the same receptor. Signaling-based and epigenetic mechanisms are invoked to explain this innate tolerance. However, these two groups of mechanisms should result in different outcomes. The epigenetic scenario (silencing of effector genes) predicts that activation of a PRR should broadly cross-tolerize to agonists of unrelated PRRs, whereas in the signaling-based scenario (inhibition of signaling pathways downstream of specific PRRs), cross-tolerization should occur only between agonists utilizing the same PRR and/or signaling pathway. Also, the so-called non-tolerizeable genes have been described, which acquire distinct epigenetic marks and increased responsiveness to rechallenge with the same agonist. The existence of such genes is well explained by epigenetic mechanisms but difficult to explain solely by signaling mechanisms. To evaluate contribution of signaling and epigenetic mechanisms to innate tolerance, we tolerized human macrophages with agonists of TLR4 or NOD1 receptors, which signal via distinct pathways, and assessed responses of tolerized cells to homologous restimulation and to cross-stimulation using different signaling, metabolic and transcriptomic read-outs. We developed a transcriptomics-based approach to distinguish responses to secondary stimulation from continuing responses to primary stimulation. We found that macrophages tolerized with a NOD1 agonist lack responses to homologous restimulation, whereas LPS-tolerized macrophages partially retain the ability to activate NF-κB pathway upon LPS rechallenge, which allows to sustain low-level expression of a subset of pro-inflammatory genes. Contributing to LPS tolerance is blockade of signaling pathways required for IFN-β production, resulting in 'pseudo-tolerization' of IFN-regulated genes. Many genes in NOD1- or TLR4-tolerized macrophages are upregulated as the result of primary stimulation (due to continuing transcription and/or high mRNA stability), but do not respond to homologous restimulation. Hyperresponsiveness of genes to homologous rechallenge is a rare and inconsistent phenomenon. However, most genes that have become unresponsive to homologous stimuli show unchanged or elevated responses to agonists of PRRs signaling via distinct pathways. Thus, inhibition of specific signaling pathways rather than epigenetic silencing is the dominant mechanism of innate tolerance.

Multiple extended target tracking based on distributed multi‐sensor fusion and shape estimation

AbstractDistributed multi‐sensor fusion based on the generalised covariance intersection (GCI) fusion has been widely integrated into the Random Finite Set theory, which is promising for multi‐target tracking with an unknown number of targets. However, it has not been widely investigated in the multiple extend target tracking (METT) field, and there is still an open problem on how to solve the inconsistency of label space among the sensors. For these problems, we first introduce the GCI fusion into the METT and proposed an association algorithm by considering the estimated shapes and the target positions to avoid the phenomenon of the label inconsistency as well as to reduce the computational burden. Simulation results show that the proposed algorithm has a better tracking performance than the traditional METT algorithms.

The impact of infection risk communication format on tourism travel intentions during COVID-19

Perceived risks and safety concerns are strong predictors of travel intentions. This research examines the effectiveness of the COVID-19 infection rate presentation format in changing respondents' risk perceptions and travel intentions to a COVID-19-affected destination. In two experimental studies conducted during the COVID-19 pandemic, participants (N = 1219) received information on infection rates in one of four mathematically equivalent formats: raw numbers, percentages, N-in-NX ratio, and 1-in-X ratio. Three distinct components of risk perception were measured: affective, analytical, and experiential. Results show that the infection rate presented using percentages increased the intention to travel compared to that presented using an N-in-NX ratio and raw numbers. Moreover, the infection rate presented using a 1-in-X ratio decreased the intention to travel compared to that presented using an N-in-NX ratio and percentages. These findings are in line with two apparently inconsistent phenomena: the ratio bias, according to which ratios with larger numerators induce a higher perceived infection risk than ratios with smaller ones, and the 1-in-X effect, according to which ratios with “1” at the numerator induce a higher perceived infection risk than ratios with other numbers at the numerator. Additionally, the effect of numerical formats on travel intentions was fully mediated by affective and analytical risk perceptions but only partially by experiential risk perceptions. Overall, the findings show the importance of the format used to present infection rates on changing individuals' travel intentions.

Subjective perception of time and decision inconsistency in interval effect

AbstractThe interval effect refers to the phenomenon in which the discount rate decreases as the interval considered increases. It represents one of the many anomalies of the decision-making process in the context of intertemporal choices. This paper suggests that the latter anomaly is due to the perceived time and emotional drives involved in the moment of choice and their interaction. The study is developed through a direct comparison between empirical preferences and those predicted by the normative model, respectively determined by proper time, i.e., empirical time and normative time, which are different from objective time. Although it was known in the literature that the perception of time has a substantial impact on preferences and the phenomenon of temporal inconsistency, our study presents a measure that quantifies the decision-making bias caused by the subjective perception of time and contributes to the normalisation of choices defined as irrational. By the term normalisation, we mean to clarify the extent to which the cognitive structures of the decision-maker respect the principles of economic rationality. From an operational point of view, the present work's originality lies in proving that the same description of subjective time is not constant in the context of the interval effect. The experimental implementation provides empirical evidence of the latter considerations. The contribution of this work refers mainly to the field of behavioural finance as it aims to describe anomalies as inevitable consequences of individual cognitive processes.

Quantification of Aversion to Uncertainty in Intertemporal Choice through Subjective Perception of Time

Intertemporal choices are those decisions structured over several periods in which the effects only manifest themselves with the passage of time. The main mathematical reference for studying the behavior of individuals with respect to this type of decision is the Discounted Utility Model which hypothesizes completely rational individuals. The empirical evidence that deviates from normative expectations has motivated the formulation of alternative models with the aim of better describing the behavior of individuals. The present paper investigates the characteristics behind hyperbolic discounting starting from the phenomenon of decision inconsistency, i.e., when individuals’ preferences vary over time. The mechanisms of inconsistency will be explored through the physical concept of relative time, proving the importance of uncertainty aversion in the hyperbolic trend of the discount function. The analysis of the mathematical characteristics of hyperbolic discounting and the relationship between decision inconsistency and subjective perception of time defines the maximum distance between rational and non-rational preferences. An experimental part empirically proves the relationship between uncertainty aversion and time inconsistency. The present paper contributes to the literature by defining a new characteristic of hyperbolic discounting and quantifying the impact of the subjective perception of time in the decision-making process.

Symptoms of Attention Deficit/Hyperactivity Disorder Are Associated with Sub-Optimal and Inconsistent Temporal Decision Making.

The link between Attention-Deficit/Hyperactivity Disorder (ADHD) and steeper delay discounting has been established and incorporated into theories of ADHD. This study examines a novel interpretation according to which ADHD is linked to sub-optimal temporal decision-making and suggests inconsistency as a potential underlying mechanism. In two experiments, MTurk workers completed a self-report questionnaire on symptoms of ADHD and a temporal decision making task consisting of choices between smaller–immediate and larger–delayed options. The delayed option was better in some items, whereas the immediate option was better in others. The rate of choices of the delayed option and the consistency of choices were measured. The results of both studies show that high symptoms of ADHD were linked to fewer choices of the delayed option when it was better, but also to more choices of the delayed option when it was not better. In addition, ADHD was linked to higher inconsistency in both conditions. The findings suggest that ADHD is linked to sub-optimal temporal decision-making rather than steeper delay discounting, and provide further support to the phenomenon of inconsistency in ADHD.

Система обеспечения навигационной безопасности плавания

Safety is an important condition for effective navigation. The prescriptive approach to navigational safety currently used in the global maritime industry is based on many years of experience and the results of the investigation of ship accidents and the improvement of existing guidelines and regulations. There exist a great number of research works, scientific articles, legislative acts, manuals and recommendations on maritime safety, but they are characterized by the pronounced heterogeneity and based on different assumptions and foundations. This phenomenon of heterogeneity and inconsistency is associated with the lack of a single legislative definition that reflects all aspects of safety in maritime transport. The term “security aspect” refers to one of the sides of the object under consideration, a point of view. Of particular relevance is a holistic description of the term of safety in the maritime industry, which will eliminate discrepancies and will help clarify the current terms related to maritime safety. The analysis of guiding documents on the navigation safety and systematization of the terminological apparatus were carried out. After the adoption of the International Safety Management Code all activities related to navigation safety have been transferred to a higher quality level. The search for and development of new approaches and methods for preventing ship accidents during their operation are becoming increasingly important. Today, the concept of maritime security is not formed and is not described sufficiently. The relationship between the concepts of safe navigation and navigational security is considered. The concept of a navigational safety system is proposed.

A Useful Criterion on Studying Consistent Estimation in Community Detection.

In network analysis, developing a unified theoretical framework that can compare methods under different models is an interesting problem. This paper proposes a partial solution to this problem. We summarize the idea of using a separation condition for a standard network and sharp threshold of the Erdös–Rényi random graph to study consistent estimation, and compare theoretical error rates and requirements on the network sparsity of spectral methods under models that can degenerate to a stochastic block model as a four-step criterion SCSTC. Using SCSTC, we find some inconsistent phenomena on separation condition and sharp threshold in community detection. In particular, we find that the original theoretical results of the SPACL algorithm introduced to estimate network memberships under the mixed membership stochastic blockmodel are sub-optimal. To find the formation mechanism of inconsistencies, we re-establish the theoretical convergence rate of this algorithm by applying recent techniques on row-wise eigenvector deviation. The results are further extended to the degree-corrected mixed membership model. By comparison, our results enjoy smaller error rates, lesser dependence on the number of communities, weaker requirements on network sparsity, and so forth. The separation condition and sharp threshold obtained from our theoretical results match the classical results, so the usefulness of this criterion on studying consistent estimation is guaranteed. Numerical results for computer-generated networks support our finding that spectral methods considered in this paper achieve the threshold of separation condition.

A novel framework to unearth corporate hypocrisy: Connotation, formation mechanism, manifestation, and contagion effect

AbstractCorporate hypocrisy refers to the phenomenon of inconsistency between words and deeds of a firm in the process of fulfilling its social responsibility. Despite the fact that the literature related to corporate hypocrisy has made some progress, there have been very few attempts to scrutinize the topic systematically. In the light of egoistic and altruistic motivations, and capitalizing on social network theory, this study classifies corporate hypocrisy into three types: direct corporate hypocrisy, indirect corporate hypocrisy, and interactive corporate hypocrisy. Considering the differences in the identification of pro‐social motivation attributes between companies and the public in releasing/analyzing hypocritical information, a 2 (companies vs. the public) × 2 (egoism vs. altruism) framework of the formation mechanism of corporate hypocrisy was constructed. Nine differentiated manifestations were defined from the perspective of preevent, during the event, and postevent time dimensions of corporate social responsibility (CSR) behaviors and the type of corporate hypocritical behavior. Based on stakeholder theory, the contagion effect of corporate hypocrisy was also analyzed from the perspective of primary and secondary stakeholders, the “immunity‐infection” dual‐pathway analysis model of the contagion effect of corporate hypocrisy was constructed, and the intervention measures were proposed. A novel framework to understand corporate hypocrisy in the mode of “sending–receiving” was proposed, which can enrich and deepen our understanding of corporate hypocrisy and possible causes and mitigation measures. Conclusions obtained through our study can help the public, governments, and firms to better understand, track, and oversee the phenomenon of corporate hypocrisy and evolve proper guidelines to minimize hypocritical behavior.

The relationship between place attachment and tourist loyalty: A meta-analysis

Though place attachment has been recognized as a key factor to promote the loyalty of tourists and contribute to the sustainable development of destinations, there is still insufficient evidence to prove the positive impact of local attachment on tourist loyalty. This study mainly focuses on quantifying the effects of place attachment on tourist loyalty and examines the underlying factors that may explain the inconsistent phenomena among previous empirical studies. We systematically screen previous related studies, and 56 independent studies are finally included. A comprehensive framework on place attachment and tourist loyalty is summarized and 22 different hypotheses are put forward from these 56 studies. The results obtained by the meta-analysis method reveal that: first, place attachment and its dimensions are positively related to tourist loyalty, which includes tourist behavior loyalty, attitude loyalty and composite loyalty. Second, the moderating effect of gender on the association of place dependence and revisit intention has been confirmed, while the moderating role of tourist cultural background and place attachment measurement scales is insignificant. Third, place identity has the strongest influence on tourist loyalty among other place attachment dimensions. Finally, the theoretical implication for tourism researchers and practical suggestions for destination managers are provided based on meta-analysis.

Active Equalization Strategy for Lithium-Ion Battery Packs Based on Multilayer Dual Interleaved Inductor Circuits in Electric Vehicles

Lithium-ion batteries (LIBs) are widely used in electric vehicles (EVs) due to their superior power performance over other batteries. However, when connected in series, overcharged cells of LIBs face the risk of explosion, and undercharged cells decrease the life cycle of the battery. Eventually, the inconsistency phenomenon between cells resulting from manufacturing tolerance and usage process reduces the overall charging capacity of the battery and increases the risk of explosion after long-time use. Research has focused on synthesizing active material to achieve higher energy density and extended life cycle for LIBs while neglecting a comparative analysis of equalization technology on the performance of battery packs. In this paper, a nondissipative equalization structure is proposed to reconcile the inconsistency of series-connected LIB cells. In this structure, a circuit uses high-level equalization units to enable direct energy transfer between any two individual cells, and dual interleaved inductors in each equalization unit increase the equalization speed of a single cell in one equalization cycle by a factor of two. The circuit is compared with the classical inductor equalization circuit (CIEC), dual interleaved equalization circuit (DIEC), and parallel architecture equalization circuit (PAEC) in the states of standing, charging, and discharging, respectively, to validate the advantages of the proposed scheme. Considering the diversity of imbalance states, the state of charge (SOC) and terminal voltage are both chosen as the equalization criterion. The second-order RC model of the LIB and the adaptive unscented Kalman filter (AUKF) algorithm are employed for SOC estimation. For effective equalization, the adaptive fuzzy neural network (AFNN) is utilized to further reduce energy consumption and equalization time. The experiment results show that the AFNN algorithm reduces the total equalization time by approximately 37.4% and improves equalization efficiency by about 4.89% in contrast with the conventional mean-difference algorithm. Particularly, the experiment results of the equalization circuit verification certify that the proposed equalization structure can greatly accelerate the equalization progress and reduce the equalization loss compared to the other three equalization circuits.

Stagnansi Perdagangan Intra ASEAN pada Periode MEA 2015: Faktor Domestik dan Interdependensi

In 2007, ASEAN member states decided to accelerate the process of regional economic integration by advancing the implementation of the ASEAN Economic Community (EAC) from 2020 to 2015. Statistics from the ASEAN Secretariat in 2019 showed that intra ASEAN trade in the 2015 AEC period did not increase consistently and tended to stagnate at 20-24 percent. Meanwhile in 2020, it is expected that intra ASEAN trade can grow by up to 30 percent. This article aims to analyze why there is a phenomenon of inconsistency in the increase in intra-ASEAN trade during the 2015 AEC period taking into account domestic politics and economic interdependence of ASEAN countries. The methods used in this writing are qualitative methods that are analyzed descriptively. Data collection techniques are carried out through library studies, namely the acquisition of data from various sources both books, official news, articles, and other relevant documents. This study shows the results that ASEAN economic integration in addition to being influenced by domestic factors, is also influenced by the economic interdependence of ASEAN countries.