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Lectures
2008.03.01
Toward Sophisticated Social Robots
Selmer Bringsjord, Konstantine Arkoudas & Evan Gilbert
Delivered at an ONR-sponsored conference on social robotics and social cognition from 2.29.08-3.1.08
Lecture Slides
Keynote presentation
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RAIR Lab News
"Bringing Second Life To Life: Researchers Create Character With Reasoning Abilities of a Child" Presentation
March 10, 2008
At a recent conference on artificial intelligence, a group of researcher lead by Selmer Bringsjord unveiled the "embodiment" of their success to date: "Eddie," a 4-year-old child in Second Life who can reason about his own beliefs to draw conclusions in a manner that matches human children his age.
RPI Press Release
Science Daily
Virtual World News
"Provability-Based Semantic Interoperability via Translation Graphs" Presentation
November 6, 2007
RAIR Lab researchers headed to New Zealand in November to present Provability-Based
Semantic Interoperability via Translation Graphs at the International Workshop on Ontologies and Information Systems for the Semantic Web (ONISW 2007).
The ONISW2007 paper introduced the translation graph as a formal method for enabling semantic interoperability between systems on the Semantic Web.
Micah Clark presented at NA-CAP 2007
July 26, 2007
RAIR Lab researcher Micah Clark presented Toward the Lying Machine
at the 2007 North American Computers and Philosophy (NA-CAP 2007) Conference. The paper lays the foundation for a future lying machine that manipulates human
beliefs through psychologically persuasive sophistic lies.
Selmer Bringsjord receives NSF Award
July 20, 2007
Selmer Bringsjord, Nick Webb and other researchers received a National Science Foundation award to research Social Robotics. The Team proposes to use
Social Robotics as a mechanism to deliver a revitalized Computer Science (CS) education.
Deepa Mukherjee presented at ICAI .07
June 28, 2007
RAIR lab researcher Deepa Mukherjee attended the 2007 International Conference on Artificial Intelligence (ICAI .07) from June 25 - 28, 2007
and presented a paper titled The Multi-Mind Effect.
The paper shows that while individuals cannot solve problems that require context-independent reasoning, groups of individuals can often solve such problems, and leads the toward
the goal of teaching humans to reason more powerfully, and the goal of engineering groups of computers with greater reasoning power than what any particular machine can muster today.
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Presentation (.mov)
Presentation (.wmv)
"Ethical Robots: The Future Can Heed Us" (*AI & Society*)
PowerPoint presentation (.ppt, 3.39 MB)
