Rensselaer Polytechnic Institute Professors Offer Insights on Cognitive Science

AI magazine features essays on new research by leading scholars in the field

Article ID: 690160

Released: 26-Feb-2018 11:05 AM EST

Source Newsroom: Rensselaer Polytechnic Institute (RPI)

  • Credit: Rensselaer Polytechnic Institute

    With one of the relatively few genuine departments of cognitive science in the world, Rensselaer Polytechnic Institute offers unique opportunities for students to focus on the scientific study of mind, brain, and intelligence. Staffed by a core of cognitive science-oriented psychologists, philosophers, and computer scientists, the department complements Rensselaer’s traditional strengths in science, engineering, and technology, and is widely regarded as a leader in the area of computational cognitive modeling.

  • Credit: Rensselaer Polytechnic Institute

    Sergei Nirenburg, professor and head of the Department of Cognitive Science at Rensselaer Polytechnic Institute, was the guest editor of the Winter 2017 edition of AI magazine, the official publication of the Association for the Advancement of Artificial Intelligence. The special issue is devoted to new research in the field of cognitive systems, and features essays by leading scholars in the field, including Nirenburg and Marjorie McShane, associate professor of cognitive science at Rensselaer.

Newswise — Troy, N.Y.— Sergei Nirenburg, professor and head of the Department of Cognitive Science at Rensselaer Polytechnic Institute, was the guest editor of the Winter 2017 edition of AI magazine, the official publication of the Association for the Advancement of Artificial Intelligence. The special issue is devoted to new research in the field of cognitive systems, and features essays by leading scholars in the field, including Nirenburg and Marjorie McShane, associate professor of cognitive science at Rensselaer.

“The term cognitive systems may mean different things to different people,” Nirenburg wrote in his introductory essay, ‘Cognitive Systems: Toward Human-Level Functionality.’ This article argues that the desiderata of an artificial intelligence system are properties that make it more humanlike in its abilities to understand, learn, and explain.”

According to AI magazine, Nirenburg’s essay offers “a bird’s-eye view of the current directions of research in the field and suggests some aspirational issues that need attention for the cognitive systems community to make a lasting impact.”

Nirenburg has worked in the areas of cognitive science, artificial intelligence, and natural language processing (NLP) for over 30 years, leading R&D teams of up to 80. His professional interests include developing computational models of human cognitive capabilities and implementing them in hybrid-engine models of societies of human and computer agents; continued development of the theory of ontological semantics; and acquisition and management of knowledge about the world and about language.

He has written two and edited five books and published over 190 scholarly articles in journals and peer-reviewed conference proceedings. He is a member of the International Committee on Computational Linguistics and honorary editor of Machine Translation, the archival scholarly journal, for which he served as editor-in-chief in 1987-96.

Current projects include development of the OntoAgent environment for modeling artificial intelligent agents. OntoAgent-based systems integrate such diverse capabilities as simulation of human physiology, decision-making, language understanding and text synthesis, belief maintenance and ascription, “mindreading” and learning—all of which rely on a variety of extensive and deep-coverage knowledge resources, such as a detailed ontological world model, a deep-semantic lexicon, and more.

McShane is a cognitive scientist, computational linguist, and knowledge engineer who develops cognitive models of intelligent agents that can collaborate with people in task-oriented, dialog applications. She is particularly interested in the integration of functionalities that are often treated in isolation, such as physiological simulation, emotion modeling and the many aspects of cognition. 

In her essay, “Natural Language Understanding (NLU, not NLP) in Cognitive Systems,” McShane argues that “developing cognitive agents with human-level natural language understanding (NLU) capabilities requires modeling human cognition because natural, unedited utterances are anything but neat and complete; so understanding them requires the ability to clean up the input and fill in the lacunae.

“It seems hardly possible that fundamental NLU will ever be achieved through the kinds of knowledge-lean text-string manipulation being pursued by the mainstream natural language processing (NLP) community,” she wrote. “Instead, it requires a holistic approach to cognitive modeling of the type we are pursuing in a paradigm called OntoAgent.”

With one of the relatively few genuine departments of cognitive science in the world, Rensselaer offers unique opportunities for students to focus on the scientific study of mind, brain, and intelligence. Staffed by a core of cognitive science-oriented psychologists, philosophers, and computer scientists, the department complements Rensselaer’s traditional strengths in science, engineering, and technology, and is widely regarded as a leader in the area of computational cognitive modeling.

Rensselaer offers a highly selective Ph.D. program in cognitive science, and B.S. programs in both psychology and philosophy. The department’s 25 faculty members’ research interests include computational cognitive modeling, artificial intelligence, human and machine reasoning, computational linguistics, perception and action, theoretical neuroscience, cognitive robotics, cognitive engineering, and advanced synthetic characters.

“The skillful, smart, and wise machines of the near future will be colleagues, not just prosthetic or orthotic tools,” says Nirenburg. “This requires a change in both research and in training future users.”

The department exemplifies the vision of The New Polytechnic, an emerging paradigm for teaching, learning, and research at Rensselaer, the foundation of which is the recognition that global challenges and opportunities are so great they cannot be adequately addressed by even the most talented person working alone. Rensselaer serves as a crossroads for collaboration—working with partners across disciplines, sectors, and geographic regions—to address complex global challenges, using the most advanced tools and technologies, many of which are developed at Rensselaer.

About Rensselaer Polytechnic Institute

Rensselaer Polytechnic Institute, founded in 1824, is America’s first technological research university. For nearly 200 years, Rensselaer has been defining the scientific and technological advances of our world. Rensselaer faculty and alumni represent 86 members of the National Academy of Engineering, 17 members of the National Academy of Sciences, 25 members of the American Academy of Arts and Sciences, 8 members of the National Academy of Medicine, 8 members of the National Academy of Inventors, and 5 members of the National Inventors Hall of Fame, as well as 6 National Medal of Technology winners, 5 National Medal of Science winners, and a Nobel Prize winner in Physics. With 7,000 students and nearly 100,000 living alumni, Rensselaer is addressing the global challenges facing the 21st century—to change lives, to advance society, and to change the world. To learn more, go to www.rpi.edu.

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