iosr-JCE   Volume-27 ~ Issue-5 ~ Sep. - Oct. 2025

Abstract: The old chess game that used to be viewed as one of the citadels of the human thought turned out to be a problem of the artificial intelligence (AI) growth and use. The present paper is a detailed account of AI history development, its technological history, and its most significant effect on celebrity chess. It traces back to the history of development of the first theoretical models and primitive software, the strength of the brute computing of the Deep.....

[1]. Campbell, M., Hoane, A. J., & Hsu, F. H. (2002). Deep Blue. Artificial Intelligence, 134(1-2), 57-83.
[2]. Hsu, F. H. (2002). Behind Deep Blue: Building The Computer That Defeated The World Chess Champion. Princeton University Press.
[3]. Knuth, D. E. (1975). An Analysis Of Alpha-Beta Pruning. In Artificial Intelligence (Pp. 293-326). North-Holland.
[4]. Knuth, D. E., & Moore, R. W. (1975). An Analysis Of Alpha-Beta Pruning. Artificial Intelligence, 6(4), 293-326.
[5]. Shannon, C. E. (1950). Xxii. Programming A Computer For Playing Chess. The London, Edinburgh, And Dublin Philosophical Magazine And Journal Of Science, 41(314), 256-275.

Abstract: Human life is inherently social and, therefore, the majority of the individual decisions are not made in a vacuum but they are made within a network where various choices are interdependent on each other. The formal study of strategic decision-making Game theory has a potent analytical power that can be utilized to analyze these interactions, but it has not been significantly applied to the low-stakes, everyday strategic choices that make up our daily lives. This gap has been filled in this paper whereby a systematic application of game-theoretic models has been used.....

[1]. Axelrod, R. (1984). The Evolution Of Cooperation. Basic Books.
[2]. Camerer, C. F. (2003). Behavioral Game Theory: Experiments In Strategic Interaction. Princeton University Press.
[3]. Fehr, E., & Gächter, S. (2002). Altruistic Punishment In Humans. Nature, 415(6868), 137–140.
[4]. Fehr, E., & Schmidt, K. M. (1999). A Theory Of Fairness, Competition, And Cooperation. The Quarterly Journal Of Economics, 114(3), 817–868.
[5]. Gigerenzer, G., & Selten, R. (Eds.). (2002). Bounded Rationality: The Adaptive Toolbox. MIT Press

Abstract: The small community libraries, though an important repository of local knowledge and local culture, tend to be severely strained in resources thereby not afforded the ability to apply modern digital technologies. This disparity is creating a digital divide between such institutions and larger, better endowed institutions and influencing the efficiency and involvement of patronage. This issue will be discussed in the paper by creating an elaborate conceptual model of an AI-based system, with a specific focus on the needs of small libraries. The proposed Community-Centric AI Library System (CAILS) integrates Natural Language Processing (NLP) to automatically label the metadata....

[1]. Aabø, S., Audunson, R., & Vårheim, A. (2010). How Do Public Libraries Function As Meeting Places? Library & Information Science Research, 32(1), 16-26.
[2]. Antell, K., & Engel, D. (2006). Confounding The User: The Academic Library As A Difficult Place To Search. College & Undergraduate Libraries, 13(1), 81-101.
[3]. Blei, D. M., Ng, A. Y., & Jordan, M. I. (2003). Latent Dirichlet Allocation. Journal Of Machine Learning Research, 3, 993-1022.
[4]. Borgman, C. L. (2015). Big Data, Little Data, No Data: Scholarship In The Networked World. MIT Press.
[5]. Burke, R. (2002). Hybrid Recommender Systems: Survey And Experiments. User Modeling And User-Adapted Interaction, 12(4), 331-370..

Abstract: Coding and computational thinking have become a worldwide concern in the K-12 education curriculum. The conventional teacher-led pedagogical designs, however, have difficulty supporting the varying learning speed, thought processes, and motivation levels of young learners who have to grapple with the sophisticated programming concepts in the Scratch, Python, and JavaScript languages. This places a very big difference between what the education aims and what the students achieve, with problems in debugging, declining interest, and failure.....

[1]. Anderson, J. R., Corbett, A. T., Koedinger, K. R., & Pelletier, R. (1995). Cognitive Tutors: Lessons Learned. The Journal Of The Learning Sciences, 4(2), 167-207.
[2]. Baker, R. S. (2016). Stupid Tutoring Systems, Intelligent Humans. International Journal Of Artificial Intelligence In Education, 26(2), 600-614.
[3]. Carbonell, J. R. (1970). AI In CAI: An Artificial-Intelligence Approach To Computer-Assisted Instruction. IEEE Transactions On Man-Machine Systems, 11(4), 190-202.
[4]. Csikszentmihalyi, M. (1990). Flow: The Psychology Of Optimal Experience. Harper & Row.
[5]. Johnson, W. L., & Soloway, E. (1985). PROUST: An Automatic Debugger For Pascal Programs.27 Byte, 10(4), 179-190.

Abstract: The spread of digital technologies has unintentionally increased the digital divide gap leaving underserved communities increasingly marginalized in the increasingly connected world. The paper is based on the hypothesis that Artificial Intelligence (AI) can be a disruptive solution to this gap by designing and deploying AI-based digital literacy platforms. We refer to such platforms as Phoenix Engines, and conceptualize that ecosystem as dynamic and adaptive, culturally resonant. This study examines the complex aspects of these platforms, including the pedagogical....

[1]. American Library Association's Digital Literacy Task Force. (2013). Digital Literacy, Libraries, And Public Policy. Retrieved From Https://Alair.Ala.Org/Handle/11213/1484
[2]. Ferrari, A. (2013). DIGCOMP: A Framework For Developing And Understanding Digital Competence In Europe. European Commission. Gilster, P. (1997). Digital Literacy. Wiley.
[3]. Hargittai, E. (2002). Second-Level Digital Divide: Differences In People's Online Skills. First Monday, 7(4).
[4]. National Telecommunications And Information Administration. (1995). Falling Through The Net: A Survey Of The "Have Nots" In Rural And Urban America.
[5]. O'Neil, C. (2016). Weapons Of Math Destruction: How Big Data Increases Inequality And Threatens Democracy. Crown.