Charles Ortiz

Charles Ortiz
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Main area of research
Natural language & AI

Charles Ortiz is the Senior Principal Manager of the Artificial Intelligence and Reasoning Group at the Nuance Natural Language and AI Laboratory in Sunnyvale California.  His research at Nuance focuses on collaborative dialog systems and commonsense reasoning for personal assistants. Prior to joining Nuance, he was the director of research in collaborative multi-agent systems at the AI Center at SRI International. His research interests and contributions are in multiagent systems (collaborative dialogue-structured assistants, collaborative work environments, negotiation protocols, and logic-based BDI theories), knowledge representation and reasoning (causation, counterfactuals, and commonsense reasoning), and robotics (cognitive robotics, team-based robotics, and dialogue-based human-robot interaction). He has approximately 20 years of technical leadership and management experience in leading major projects and setting strategic directions. He has collaborated extensively with faculty and students at many academic institutions including Harvard University, Bar-Ilan University, UC Berkeley, Columbia University, University of Southern California, Vassar College, and Carnegie Mellon University. He holds an S.B. in Physics from MIT, an M.S. in Computer Science from Columbia University, and a Ph.D. in Computer and Information Science from the University of Pennsylvania. Following his PhD research, he was a Postdoctoral Research Fellow at Harvard University. He has taught courses at Harvard and was also an adjunct faculty member at UC Berkeley.  He has presented numerous tutorials at technical conferences (IJCAI 1999 and 2005, AAAI 2002 and 2004, AAMAS 2002-2004).

Selected articles

Dynamic resource bounded negotiation in non-additive domains

The problem of group decision making in a non-strategic environment is presented and analyzed. The main focus is on the decision problem of task assignment

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Distributed sensor networks: a multi-agent perspective

Distributed Sensor Networks is the first book of its kind to examine solutions to this problem using ideas taken from the field of multi-agent systems. The

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Teambotica: a robotic framework for integrated teaming, tasking, networking, and control

TEAMBOTICA is a research environment for the exploration of theories, designs and implementations of team-based robotics. In developing TEAMBOTICA, we found that many of the simplifying

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Cooperative large-scale mobile agent systems

We consider environments that consist of a large set of relatively cheap and simple agents and a large set of objects. The agents should track

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Centibots: large-scale robot teams

As part of the DARPA Software for Distributed Robotics Program, SRI International, Stanford University, the University of Washington, and ActivMedia Robotics are designing and implementing

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