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A Play on Words: Using Cognitive Computing as a Basis for AI Solvers in Word Puzzles

Thomas Manzini, Simon Ellis, James Hendler
2015 Journal of Artificial General Intelligence  
In this paper we offer a model, drawing inspiration from human cognition and based upon the pipeline developed for IBM's Watson, which solves clues in a type of word puzzle called syllacrostics.  ...  We briefly discuss its situation with respect to the greater field of artificial general intelligence (AGI) and how this process and model might be applied to other types of word puzzles.  ...  Acknowledgements This work was supported in part by a grant to Rensselaer Polytechnic Institute from the Walt Disney Imagineering Research and Development organization, the IBM SUR grant that provided  ... 
doi:10.1515/jagi-2015-0006 fatcat:63flvvnairfc5gbjkmikiz4lze

A Web-Based Agent Challenges Human Experts on Crosswords

Marco Ernandes, Giovanni Angelini, Marco Gori
2008 The AI Magazine  
The founding fathers of AI such as McCarthy, Simon (Simon and Schaeffer 1992), Samuel, Shannon (Shannon 1950), Turing, and Von Neumann have all been involved in automatic chess playing.  ...  Since the birth of artificial intelligence (AI), games and puzzles have received much attention. The game that has captured most of the attention of computer scientists is chess.  ...  For each crossword, the score was computed on the basis of the percentage of words correctly inserted.  ... 
doi:10.1609/aimag.v29i1.2088 dblp:journals/aim/ErnandesAG08 fatcat:36ssd7eovfcjpde2gibl225tsq

The Grounded Expertise Components Approach in the Novel Area of Cryptic Crossword Solving

Kathryn J. Friedlander, Philip A. Fine
2016 Frontiers in Psychology  
These skills are additional to the crystallized knowledge and word-retrieval demands which are also a feature of American crossword puzzles.  ...  This paper presents a relatively unexplored area of expertise research which focuses on the solving of British-style cryptic crossword puzzles.  ...  ) was more popular than word puzzles, languages and writing (RIASEC code "AI", 7.3% hobby responses).  ... 
doi:10.3389/fpsyg.2016.00567 pmid:27199805 pmcid:PMC4853387 fatcat:cfzlftao2bfczbh32ke32dzbgq

Metaphor not as a stylistic but as a cognitive device: English language information technology manuals as a test case

Agnès Corbisier
1994 ASp  
What are the characteristics of effective verbal metaphors for information technology concepts? Metaphor not as a stylistic but as a cognitive device: English language infor... ASp, 4 | 2012  ...  This text was automatically generated on 1 octobre 2016.  ...  In other words, to be effective for a great number of Metaphor not as a stylistic but as a cognitive device: English language infor...ASp, 4 | 2012 The concept of "virtual" memory, the very congruence  ... 
doi:10.4000/asp.4136 fatcat:kh4syv77jngvraendaxouk2p3u

Gotta CAPTCHA 'Em All: A Survey of Twenty years of the Human-or-Computer Dilemma [article]

Meriem Guerar, Luca Verderame, Mauro Migliardi, Francesco Palmieri, Alessio Merlo
2021 arXiv   pre-print
Thus, they represent a serious threat to all businesses in general, but are especially troublesome for e-commerce, travel and financial services.  ...  A recent study has found that malicious bots generated nearly a quarter of overall website traffic in 2019 [100].  ...  [106] developed a CAPTCHA solver for continuous CAPTCHAs that use overlapping target voices as defensive techniques to make automated segmentation difficult.  ... 
arXiv:2103.01748v1 fatcat:ufrqkfxyjrgwlmkwg7qlddpbou

Cognitive Elements of Human Decision Making [chapter]

Jens Pohl
2008 Studies in Computational Intelligence  
Based on the premise that the human decision-maker should be an integral component of any computer-based decision-support system, it follows that the elements that appear to be important to the user should  ...  This chapter presents some understandings of the human problemsolving activity that a group of researchers in the Collaborative Agent Design Research Center at the California Polytechnic State University  ...  It is an essential prerequisite for embedding AI in such systems, and forms the basis of any meaningful communication between user and computer.  ... 
doi:10.1007/978-3-540-76829-6_2 fatcat:yxownvbwgnek7ga7x4mqymkmmi

Modeling the Intuitive Decision-Maker's Mindset

2019 Acta Polytechnica Hungarica  
It is generally accepted that working memory plays a crucial role in cognition and models by computers, can help us understand the human mind.  ...  We propose that in addition to improving and speeding-up analysis, Artificial Intelligence (AI) can also be useful as a supplement to Working Memory.  ...  Acknowledgement We would like to give special thanks to Mobilis Interactive Exhibition Center at Győr, Hungary for making it possible for us to make observations.  ... 
doi:10.12700/aph.16.3.2019.3.12 fatcat:wjmliwmuhvdrrmdceyclh2f6ai

V-Naturalizing Kuhn

Alexander Bird
2004 Proceedings of the Aristotelian Society  
A naturalistic conception of paradigms is ripe for development with the tools of cognitive science. As a consequence a naturalistic understanding of world-change and incommensurability is also viable.  ...  This is especially so when classical AI with its symbolic computational approach to cognition seemed so much more obviously a candidate for modelling the reasoning found in science.  ...  Although one can write very effective computer programmes that play chess by implementing an algorithm, good human players recognise patterns in positions in a non-algorithmic way that is acquired by past  ... 
doi:10.1111/j.1467-9264.2004.00166.x fatcat:35brlrywlzhxvos4ehvry6kq4e

V *-NATURALIZING KUHN

Alexander Bird
2005 Proceedings of the Aristotelian Society  
A naturalistic conception of paradigms is ripe for development with the tools of cognitive science. As a consequence a naturalistic understanding of world-change and incommensurability is also viable.  ...  This is especially so when classical AI with its symbolic computational approach to cognition seemed so much more obviously a candidate for modelling the reasoning found in science.  ...  Although one can write very effective computer programmes that play chess by implementing an algorithm, good human players recognise patterns in positions in a non-algorithmic way that is acquired by past  ... 
doi:10.1111/j.0066-7373.2004.00104.x fatcat:5gnpylor75bbpg5a2eihnnqp4y

Solving Probability Problems in Natural Language

Anton Dries, Angelika Kimmig, Jesse Davis, Vaishak Belle, Luc de Raedt
2017 Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence  
In the second step, a solution to the high-level model is computed using a probabilistic programming system.  ...  The ability to solve probability word problems such as those found in introductory discrete mathematics textbooks, is an important cognitive and intellectual skill.  ...  The authors thank Liselot Beckwé, Monica Brocca and Hannah Davidoff for their efforts in collecting and labelling the data, and Hendrik Blockeel, Wannes Meert and Guy Van den Broeck for inspiring discussions  ... 
doi:10.24963/ijcai.2017/556 dblp:conf/ijcai/DriesKDBR17 fatcat:q26wodhlf5b5hghwihvvwrcoma

What underlies rapid learning and systematic generalization in humans [article]

Andrew Joohun Nam, James L. McClelland
2021 arXiv   pre-print
We propose that rapid learning and systematic generalization in humans may depend on a gradual, experience-dependent process of learning-to-learn using instructions and explanations to guide the construction  ...  In this paper, we consider the limitations of this approach by examining human adults' ability to learn an abstract reasoning task from a brief instructional tutorial and explanatory feedback for incorrect  ...  as a core element of human cognitive abilities.  ... 
arXiv:2107.06994v1 fatcat:kftryvz7jjhsdfziltqo2hbnp4

Where's the AI?

Roger C. Schank
1991 The AI Magazine  
I survey four viewpoints about what AI is. I describe a program exhibiting AI as one that can change as a result of interactions with the user.  ...  Researchers need to face the complexities of scaling up to programs that actually serve a purpose. The move from toy domains into concrete ones has three big consequences for the development of AI.  ...  Now we have some evidence that experts do indeed learn from and use their experiences in daily reasoning and decision making (see, for example, Klein and Calderwood [1988] ).  ... 
doi:10.1609/aimag.v12i4.917 dblp:journals/aim/Schank91 fatcat:oq5nnoik55fm7op5q4dg6fhgz4

CRITICAL REVIEW OF THE FIFTH GENERATION OF PROGRAMMING LANGUAGE: THE PAST, PRESENT AND THE FUTURE

Okemiri Henry Anayo
2021 Zenodo  
Far from being a static tool, programming languages evolvethey are created, constantly change, and frequently disappear over the course of their use.  ...  Programming languages are the tools that allow communication between the computer and the developer.  ...  Researchers at the Institute for New Generation Computer Technology in Tokyo have used PROLOG as the basis for sophisticated logic programming languages.  ... 
doi:10.5281/zenodo.5197260 fatcat:xpvn3las35fgxjrhstregm5z6a

Fluid Concepts and Creative Analogies: A Review

Bruce D. Burns
1995 The AI Magazine  
easy for him to stray in the direction tion as a form of perception con- 1987) misses the point by aiming to of ridicule.  ...  here because AI models rely none proposition, and the evaluation heavily on assumptions that are Computation & of the degree to which a program suc- difficult to test, and thus, they  ... 
doi:10.1609/aimag.v16i3.1155 dblp:journals/aim/Burns95 fatcat:pgn4bsgklrfbhcoefojj5oqxki

Cognitive Architectures for Conceptual Structures [chapter]

John F. Sowa
2011 Lecture Notes in Computer Science  
as a foundation for further research and development.  ...  The book Conceptual Structures: Information Processing in Mind and Machine surveyed the state of the art in artificial intelligence and cognitive science in the early 1980s and outlined a cognitive architecture  ...  A society for complex research might take hours, days, or even years.  ... 
doi:10.1007/978-3-642-22688-5_3 fatcat:w7jxvefu2bfwbb22uudeefwmp4
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