From object perception to person perception: An artificial intelligence view

The Association for the Advancement of Artificial Intelligence, in cooperation with Stanford University's Department of Computer Science, presented the 2017 Spring Symposium Series, held Monday through Wednesday, March 27–29, 2017 on the campus of Stanford University. The eight symposia held were Artificial Intelligence for the Social Good (SS-17-01); Computational Construction Grammar and Natural Language Understanding (SS-17-02); Computational Context: Why It's Important, What It Means, and Can It Be Computed? (SS-17-03); Designing the User Experience of Machine Learning Systems (SS-17-04); Interactive Multisensory Object Perception for Embodied Agents (SS-17-05); Learning from Observation of Humans (SS-17-06); Science of Intelligence: Computational Principles of Natural and Artificial Intelligence (SS-17-07); and Wellbeing AI: From Machine Learning to Subjectivity Oriented Computing (SS-17-08). This report, compiled from organizers of the symposia, summarizes the research that took place.

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Length Illusion in Fractional Müller-Lyer Stimuli: An Object-Perception Approach

Perception ◽

10.1068/p220819 ◽

1993 ◽

Vol 22 (7) ◽

pp. 819-828 ◽

Cited By ~ 11

Author(s):

Gordon M Redding ◽

Erik Hawley

Keyword(s):

Artificial Intelligence ◽

Object Recognition ◽

Relative Position ◽

Object Perception ◽

Size Perception ◽

Line Drawings ◽

Metric Properties ◽

Size Scaling ◽

Central Shaft

Length judgments were compared for Müller-Lyer stimuli and figures which had line junctions at only one end of the central shaft. A length illusion occurred for fractional figures, only slightly reduced in magnitude from the usual illusion, and the largest reduction occurred for fractional figures with fork junctions. These results are consistent with an hypothesis (drawn from artificial intelligence algorithms for interpreting line drawings) that isolated line junctions are treated as boundary junctions with constrained interpretations of convex and concave edges for the shafts of arrow and fork junctions, respectively. Information about relative position of edges may be used to constrain computation of metric properties and consequential differences in size scaling would be responsible for the illusion. Illusions can arise when information well suited for one kind of task (eg object recognition) is employed in tasks for which it is not well suited (eg size perception).

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Artificial Intelligence in Drug Discovery

10.1039/9781788016841 ◽

2020 ◽

Keyword(s):

Artificial Intelligence ◽

Drug Discovery

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Artificial Intelligence and Social Work

10.1017/9781108669016 ◽

2018 ◽

Cited By ~ 4

Keyword(s):

Artificial Intelligence ◽

Social Work

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Artificial Intelligence

10.1017/cbo9780511794797 ◽

2009 ◽

Cited By ~ 138

Author(s):

David L. Poole ◽

Alan K. Mackworth

Keyword(s):

Artificial Intelligence

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The economics of selection of mail orders Drs. Zahavi and Levin are the masterminds behind the development of AMOS, a customized predictive modeling system for the Franklin Mint in Philadelphia, and GainSmarts, a general purpose data mining system that is the two-time winner of the KDD-CUP competition for the best data mining tools (1997 and 1998) sponsored by the American Association for Artificial Intelligence.

Journal of Interactive Marketing ◽

10.1002/dir.1016.abs ◽

2001 ◽

Vol 15 (3) ◽

pp. 53

Author(s):

Nissan Levin ◽

Jacob Zahavi

Keyword(s):

Artificial Intelligence ◽

Data Mining ◽

Predictive Modeling ◽

American Association ◽

General Purpose ◽

Mining System ◽

Data Mining System ◽

Mining Tools ◽

Selection Of

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Re-conceptualizing Machiavellianism and Social-Cognitive Skills

Journal of Individual Differences ◽

10.1027/1614-0001/a000340 ◽

2020 ◽

pp. 1-8

Author(s):

William Hart ◽

Christopher J. Breeden ◽

Charlotte Kinrade

Keyword(s):

Cognitive Skills ◽

Person Perception ◽

Social Cognitive ◽

Cognitive Skill ◽

Prediction Skill ◽

Current Evidence ◽

College Sample ◽

Social Prediction

Abstract. Machiavellianism is presumed to encompass advanced social-cognitive skill, but research has generally suggested that Machiavellian individuals are rather deficient in social-cognitive skill. However, previous research on the matter has been limited to measures of (a) Machiavellianism that are unidimensional and saturated with both antagonism and disinhibition and measures (b) only one type of social-cognitive skill. Using a large college sample ( N = 461), we examined how various dimensions of Machiavellianism relate to two types of social-cognitive skill: person-perception skill and general social prediction skill. Consistent with some prior theorizing, the planful dimension of Machiavellianism was positively related to both person-perception and general social prediction skills; antagonistic dimensions of Machiavellianism were negatively related to both skills; either agentic or cynical dimensions of Machiavellianism were generally unrelated to both skills. Overall, the current evidence suggests a complicated relationship between Machiavellianism and social-cognitive skill because Machiavellianism encompasses features that blend deficiency, proficiency, and average levels of social-cognitive skills.

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