215 research outputs found
AGI-agent cognitive architecture AGICA - axiomatic approach.
No full textFor the last half of the century there were proposed and modeled several dozen cognitive architectures as the models of mind. As one of the results of this Standard Model of the Mind was proposed and discussed in 2017. It accumulated lessons learned in one structure. In the articles published in 2016-2018, the author formulated main definitions of the concepts of Artificial General Intelligence (AGI): AGI-Individual Type, AGI-Collective Type, AGI-Consciousness, AGI-Thought, AGI-Knowledge, AGI-Emotions. The author’s approach belongs to the direction Embodied Cognition in Cognitive Science and is following “Axiomatic Approach” in Artificial Intelligence. The definitions proposed by the author are of constructive type from mathematical point of view and can be modeled by the existing software & hardware tools and methods. In this article the author is proposing AGI-Agent cognitive architecture AGICA as detailed modification of Standard Model of the Mind. It can be used in the development of universal operating system for AGI-robots
Cumulative learning
No full textAn important feature of human learning is the ability to continuously accept new information and unify it with existing knowledge, a process that proceeds largely automatically and without catastrophic side-effects. A generally intelligent machine (AGI) should be able to learn a wide range of tasks in a variety of environments. Knowledge acquisition in partially-known and dynamic task-environments cannot happen all-at-once, and AGI-aspiring systems must thus be capable of cumulative learning: efficiently making use of existing knowledge while learning new things, increasing the scope of ability and knowledge incrementally—without catastrophic forgetting or damaging existing skills. Many aspects of such learning have been addressed in artificial intelligence (AI) research, but relatively few examples of cumulative learning have been demonstrated to date and no generally accepted explicit definition exists of this category of learning. Here we provide a general definition of cumulative learning and describe how it relates to other concepts frequently used in the AI literature.Information and Communication Technolog
MICROWAVE SPECTRUM AND GEOMETRY OF HPAgI
No full textAuthor Institution: School of Chemistry, University of Bristol, Bristol, BS8 1TS, U.K.The pure rotational spectrum of the vibrational ground state of HPAgI has been measured by chirped-pulse FTMW spectroscopy. The complex is generated via laser ablation (532 nm) of a silver rod in the presence of CFI, PH and argon. It is subsequently stabilized and interrogated in the cold environment of a supersonic jet. The rotational constant, {\it{B}}, and the centrifugal distortion constant, {\it{D}}, have been measured for HPAgI and HPAgI. The spectrum of the complex is consistent with a {\it{C}} geometry and a linear arrangement of the P, Ag and C atoms. The measured rotational constants allow a preliminary determination of the geometry of the molecule. The nuclear quadrupole coupling constant of the iodine atom, (I) , is also established. The experimental results are compared with theory performed at the explicitly-correlated coupled-cluster singles, doubles and perturbative triples level
AGI-P: A Gender Identification Framework for Authorship Analysis Using Customized Fine-Tuning of Multilingual Language Model
Get PDFIn this investigation, we propose a solution for the author’s gender identification task called AGI-P. This task has several real-world applications across different fields, such as marketing and advertising, forensic linguistics, sociology, recommendation systems, language processing, historical analysis, education, and language learning. We created a new dataset to evaluate our proposed method. The dataset is balanced in terms of gender using a random sampling method and consists of 1944 samples in total. We use accuracy as an evaluation measure and compare the performance of the proposed solution (AGI-P) against state-of-the-art machine learning classifiers and fine-tuned pre-trained multilingual language models such as DistilBERT, mBERT, XLM-RoBERTa, and Multilingual DEBERTa. In this regard, we also propose a customized fine-tuning strategy that improves the accuracy of the pre-trained language models for the author gender identification task. Our extensive experimental studies reveal that our solution (AGI-P) outperforms the well-known machine learning classifiers and fine-tuned pre-trained multilingual language models with an accuracy level of 92.03%. Moreover, the pre-trained multilingual language models, fine-tuned with the proposed customized strategy, outperform the fine-tuned pre-trained language models using an out-of-the-box fine-tuning strategy. The codebase and corpus can be accessed on our GitHub page at: https://github.com/mumairhassan/AGI-
Documentos probatorios de la existencia de la Universidad de Mérida de Yucatán (1624-1767). Historias. Revista de la Dirección de Estudios Históricos Num. 80 (2011) septiembre-diciembre
No full textAGI, México, 3101 ff. 82-86.AGI, México, 238,N.7, ff.4v-5. Para una trascripción en un latín más formal, véase Eleonor B. Adams, “Note on the Life of Francisco de Cárdenas Valencia”, en The Americas, vol. 2, núm. 1, julio de 1945, pp. 28-29.AGI, Indiferente, 121, núm. 56.AGI, Indiferente, 224, núm. 40, ff.354v-355v
AGI-P: A Gender Identification Framework for Authorship Analysis Using Customized Fine-Tuning of Multilingual Language Model
Get PDFIn this investigation, we propose a solution for the author's gender identification task called AGI-P. This task has several real-world applications across different fields, such as marketing and advertising, forensic linguistics, sociology, recommendation systems, language processing, historical analysis, education, and language learning. We created a new dataset to evaluate our proposed method. The dataset is balanced in terms of gender using a random sampling method and consists of 1944 samples in total. We use accuracy as an evaluation measure and compare the performance of the proposed solution (AGI-P) against state-of-the-art machine learning classifiers and fine-tuned pre-trained multilingual language models such as DistilBERT, mBERT, XLM-RoBERTa, and Multilingual DEBERTa. In this regard, we also propose a customized fine-tuning strategy that improves the accuracy of the pre-trained language models for the author gender identification task. Our extensive experimental studies reveal that our solution (AGI-P) outperforms the well-known machine learning classifiers and fine-tuned pre-trained multilingual language models with an accuracy level of 92.03%. Moreover, the pre-trained multilingual language models, fine-tuned with the proposed customized strategy, outperform the fine-tuned pre-trained language models using an out-of-the-box fine-tuning strategy. The codebase and corpus can be accessed on our GitHub page at: https://github.com/mumairhassan/AGI-P © 2013 IEEE
Advancing Author Gender Identification in Modern Standard Arabic with Innovative Deep Learning and Textual Feature Techniques
No full textAuthor Gender Identification (AGI) is an extensively studied subject owing to its significance in several domains, such as security and marketing. Recognizing an author’s gender may assist marketers in segmenting consumers more effectively and crafting tailored content that aligns with a gender’s preferences. Also, in cybersecurity, identifying an author’s gender might aid in detecting phishing attempts where hackers could imitate individuals of a specific gender. Although studies in Arabic have mostly concentrated on written dialects, such as tweets, there is a paucity of studies addressing Modern Standard Arabic (MSA) in journalistic genres. To address the AGI issue, this work combines the beneficial properties of natural language processing with cutting-edge deep learning methods. Firstly, we propose a large 8k MSA article dataset composed of various columns sourced from news platforms, labeled with each author’s gender. Moreover, we extract and analyze textual features that may be beneficial in identifying gender-related cues through their writings, focusing on semantics and syntax linguistics. Furthermore, we probe several innovative deep learning models, namely, Convolutional Neural Networks (CNNs), LSTM, Bidirectional LSTM (BiLSTM), and Bidirectional Encoder Representations from Transformers (BERT). Beyond that, a novel enhanced BERT model is proposed by incorporating gender-specific textual features. Through various experiments, the results underscore the potential of both BERT and the textual features, resulting in a 91% accuracy for the enhanced BERT model and a range of accuracy from 80% to 90% accuracy for deep learning models. We also employ these features for AGI in informal, dialectal text, with the enhanced BERT model reaching 68.7% accuracy. This demonstrates that these gender-specific textual features are conducive to AGI across MSA and dialectal texts
Social diversity: the implications for graphology
No full textGraphological investigations into nationality are not new and literature show that graphology can be applied to Hebrew, Arabic, Cyrillic and the many other forms of written expression. This paper aims to explore multi-ethnic society along with cultural and social integration. The aim is to discover any implications for graphology. The author makes the observation that Darwin’s theory of evolution applies to human society. Specifically there is a struggle, no two individuals are the same and we are in a state of change. To show evidence of social diversity, the population of a part of London is examined. The developmental model proposed by the psychologist Erik H. Erikson is then applied to the arrival of people into an existing society. This then leads to the identification of twelve different types of people who may come to the attention of the graphologist. The analysis of three of these should be limited to graphologists who specialise in children. The other nine types are likely to be part of the work of any graphologist. Handwritings from these groups must show a great degree of variability from each other and may be very different from the integrated members of a population. The author therefore suggests that graphologists should know the type before starting an analysis. If interpretation is enriched by prior knowledge of sex, age and handedness, then multicultural typology information must surely be of benefit to all parties concerned
A STUDY ON THE SPECTRAL TRANSMITTANCE OF AgI COLLOIDAL SOLUTION COAGULATED BY SURFACE ACTIVE AGENT
No full textThe author has studied, analyzing the spectral transmittance curves obtained by a double beam type spectrophotometer and applying the method of colorimetries, on the coagulation of AgI sol by Laurylpyridinium-bromide, a cationic surfacant. Next, the experimental formula concerning the velocity of coagulation and that of 1/τλo² = aλo - b (τ:turbidity, λo:wavelength in water) have been obtained with satisfactory accuracy, where radii R of the particles are also calculated from constant a or b of the above equation in the range of 34. 6 ～ 73. 0 nm,Articleapplication/pdf信州大学教養部紀要. 第二部, 自然科学 9: 11-26(1975)departmental bulletin pape
A STUDY ON THE SPECTRAL TRANSMITTANCE OF AgI COLLOIDAL SOLUTION COAGULATED BY SURFACE ACTIVE AGENT
Get PDFThe author has studied, analyzing the spectral transmittance curves obtained by a double beam type spectrophotometer and applying the method of colorimetries, on the coagulation of AgI sol by Laurylpyridinium-bromide, a cationic surfacant. Next, the experimental formula concerning the velocity of coagulation and that of 1/τλo² = aλo - b (τ:turbidity, λo:wavelength in water) have been obtained with satisfactory accuracy, where radii R of the particles are also calculated from constant a or b of the above equation in the range of 34. 6 ～ 73. 0 nm
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