Sentic Panalogy: Swapping Affective Common Sense Reasoning Strategies and Foci.
eScholarship (California Digital Library)Published 1 January 2012Open access
Erik Cambria, Daniel Olsher, Kenneth Kwok
Citations6
Generate an AI Snapshot to get a quick, structured summary of this paper.
Study Snapshot
ObjectiveStudy objective
MethodsResearch methodology
PopulationPopulation studied
Sample sizeSample sizes
OutcomesStudy outcomes here
ResultsStudy results comes here
LimitationsResearch study limitations comes here
A concise AI-generated summary of the paper will appear here once you click Generate AI Snapshot.
TL;DR
Sentic panalogy is a technique that aims to emulate such process by exploiting graph-mining and dimensionality-reduction techniques to dynamically interchange both different reasoning strategies and the foci around which such strategies are developed.
Abstract
An important difference between traditional AI systems and human intelligence is our ability to harness common sense knowledge gleaned from a lifetime of learning and experi-ences to inform our decision-making and behavior. This al-lows humans to adapt easily to novel situations where AI fails catastrophically for lack of situation-specific rules and gener-alization capabilities. In order for machines to exploit com-mon sense knowledge in reasoning as humans do, moreover, we need to endow them with human-like reasoning strategies. In problem-solving situations, in particular, several analogous representations of the same problem should be maintained in parallel while trying to solve it so that, when problem-solving begins to fail while using one representation, the system can switch to one of the others. Sentic panalogy is a technique that aims to emulate such process by exploiting graph-mining and dimensionality-reduction techniques to dynamically inter-change both different reasoning strategies and the foci around which such strategies are developed.
Keywords
Computer Science
Choice Reviews OnlineFinding groups in data: an introduction to cluster analysis
10,614 Citations1991
Thinking, Fast and Slow
10,444 Citations2011Daniel Kahneman
Thumbs up?
6,987 Citations2002Bo Pang, Lillian Lee +1 more
This work considers the problem of classifying documents not by topic, but by overall sentiment, e.g., determining whether a review is positive or negative, and concludes by examining factors that make the sentiment classification problem more challenging.
Dual-process theories in social psychology
6,105 Citations1999Shelly Chaiken, Yaacov Trope
PsychometrikaThe Approximation of One Matrix by Another of Lower Rank
3,795 Citations1936Carl Eckart, Gale Young
Expert Systems with ApplicationsA simple and fast algorithm for K-medoids clustering
2,041 Citations2008Hae-Sang Park, Chi‐Hyuck Jun
Experimental results show that the proposed algorithm takes a significantly reduced time in computation with comparable performance against the partitioning around medoids.
Annual Review of PsychologySocial Cognitive Neuroscience: A Review of Core Processes
2,001 Citations2006Matthew D. Lieberman
This review examines four broad areas of research within social cognitive neuroscience: (a) understanding others, (b) understanding oneself, (c) controlling oneself, and the processes that occur at the interface of self and others, and highlights two core-processing distinctions that can be neurocognitively identified across all of these domains.
Appraisal processes in emotion: Theory, methods, research.
1,911 Citations2001Klaus R. Scherer, Angela Schorr +1 more
Personality and Social Psychology ReviewDual-Process Models in Social and Cognitive Psychology: Conceptual Integration and Links to Underlying Memory Systems
1,786 Citations2000Eliot R. Smith, Jamie DeCoster
A new conceptual model of the 2 processing modes is advanced, supported by psychological and neuropsychological evidence, that humans possess 2 memory systems and involves the intentional retrieval of explicit, symbolically represented rules from either memory system and their use to guide processing.
Kluwer Academic Publishers eBooksSingular Value Decomposition and Principal Component Analysis
1,180 Citations2005Michael E. Wall, Andreas Rechtsteiner +1 more
This chapter describes gene expression analysis by Singular Value Decomposition (SVD), emphasizing initial characterization of the data, and describes the precise relation between SVD analysis and Principal Component Analysis (PCA) when PCA is calculated using the covariance matrix.
ACM Transactions on Information SystemsInterpreting TF-IDF term weights as making relevance decisions
810 Citations2008Jack Wu, Robert W. P. Luk +2 more
A novel probabilistic retrieval model forms a basis to interpret the TF-IDF term weights as making relevance decisions, and it is shown that the term-frequency factor of the ranking formula can be rendered into different term- frequency factors of existing retrieval systems.
Handbook of PsychologyCognitive‐Experiential Self‐Theory of Personality
644 Citations2003Seymour Epstein
Choice Reviews OnlineThe emotion machine: commonsense thinking, artificial intelligence, and the future of the human mind
642 Citations2007
Marvin Minsky argues persuasively that emotions, intuitions, and feelings are not distinct things, but different ways of thinking, which can help build machines -- artificial intelligences -- that not only can assist with their thinking by thinking as the authors do but have the potential to be as conscious as they are.
Lecture notes in computer scienceThe Hourglass of Emotions
302 Citations2012Erik Cambria, Andrew Livingstone +1 more
A novel biologically-inspired and psychologically-motivated emotion categorisation model that represents affective states both through labels and through four independent but concomitant affective dimensions, which can potentially describe the full range of emotional experiences that are rooted in any of us.
Journal of Personality and Social PsychologyCognitive-experiential self-theory and subjective probability: Further evidence for two conceptual systems.
259 Citations1992Lee A. Kirkpatrick, Seymour Epstein
Three experiments demonstrated that research findings on suspiciousness about coincidences can be accounted for in terms of subjective probability, as predicted by cognitive-experiential self-theory (CEST) but in contrast with the norm theory (NT) account offered by Miller et al. (1989).
ScopusSenticNet 2: A Semantic and Affective Resource for Opinion Mining and Sentiment Analysis
210 Citations2012Erik Cambria, Catherine Havasi +1 more
By providing the semantics and sentics associated with over 14,000 concepts, SenticNet 2 represents one of the most comprehensive semantic resources for the development of affect-sensitive applications in fields such as social data mining, multimodal affective HCI, and social media marketing.
Expert Systems with ApplicationsSentic PROMs: Application of sentic computing to the development of a novel unified framework for measuring health-care quality
107 Citations2012Erik Cambria, Tim Benson +2 more
Sentic PROMs allow patients to evaluate their health status and experience in a semi-structured way and accordingly aggregate input data by means of sentic computing, while tracking patients' physio-emotional sensitivity.
IEEE Intelligent SystemsDigital Intuition: Applying Common Sense Using Dimensionality Reduction
86 Citations2009Catherine Havasi, Robert E. Speer +2 more
A method that uses singular value decomposition to aid in the integration of systems or representations, and can be harnessed to find and exploit correlations between different resources, enabling commonsense reasoning over a broader domain.
Proceedings of the AAAI Conference on Artificial IntelligenceSentic Activation: A Two-Level Affective Common Sense Reasoning Framework
77 Citations2021Erik Cambria, Daniel Olsher +1 more
This work proposes a two-level affective reasoning framework that concurrently employs multi-dimensionality reduction and graph mining techniques to mimic the integration of conscious and unconscious reasoning, and exploit it for sentiment analysis.
Automated Color Selection Using Semantic Knowledge
38 Citations2010Catherine Havasi, Robert E. Speer +1 more
This new application of common sense reasoning uses background knowledge about the world to build a model of the connections between everyday things, and uses this model to guess an appropriate color for a word.
Lecture notes in computer scienceSwitching Between Different Ways to Think
2 Citations2011Erik Cambria, Thomas Mazzocco +2 more
This work argues how graph mining, multi-dimensionality reduction, clustering and space transformation techniques can be used on an affective common sense knowledge base to emulate the process of switching between different perspectives and finding novel ways to look at things.