Don Perlis

Professor Emeritus

4156 Iribe Center

(301) 405-2685

Education:

Ph.D., New York University (Mathematics) and Ph.D., University of Rochester (Computer Science)

Biography:

Don Perlis is a professor emeritus of computer science in the University of Maryland Institute for Advanced Computer Studies.

His research centers on artificial intelligence, particularly commonsense reasoning, autonomous systems that can adapt to new situations, and the philosophical aspects of language, mind and consciousness. Perlis aims to develop AI that learns from mistakes and handles everyday challenges with human-like flexibility.

Go here to view Perlis's academic publications on Google Scholar.

Publications

2011

Perlis D. 2011. Robotson Crusoe–or–What Is Common Sense? Logical Formalizations of Commonsense Reasoning — Papers from the AAAI 2011 Spring Symposium.

2010

Shahri H H, Dinalankara W, Fults S, Wilson S, Perlis D, Schmill M, Oates T, Josyula D, Anderson M. 2010. The Metacognitive Loop: An Architecture for Building Robust Intelligent Systems. 2010 AAAI Fall Symposium Series.

2009

Anderson ML, Perlis D. 2009. What puts the “meta” in metacognition? Behavioral and Brain Sciences. 32(02):138-139.

2008

Anderson ML, Gomaa W, Grant J, Perlis D. 2008. Active logic semantics for a single agent in a static world. Artificial Intelligence. 172(8-9):1045-1063.

Schmill MD, Oates T, Anderson M, Fults S, Josyula D, Perlis D, Wilson S. 2008. The role of metacognition in robust AI systems. AAAI-08 Workshop on Metareasoning,(Chicago, IL).

Anderson ML, Fults S, Josyula DP, Oates T, Perlis D, Wilson S, Wright D. 2008. A self-help guide for autonomous systems. AI Magazine. 29(2):67-67.

2007

Anderson ML, Schmill M, Oates T, Perlis D, Josyula D, Wright D, Human SWTDN, Metacognition L, Fults S, Josyula DP. 2007. Hood College, Master of Business Administration, 2005 Hood College, Master of Science (Computer Science), 2001 Hood College, Bachelor of Science (Computer Science), 1998 Frederick Community College, Associate in Arts (Business Administration), 1993. Proceedings of the Workshop on Metareasoning in Agent-Based Systems.

Anderson ML, Schmill M, Oates T, Perlis D, Josyula D, Wright D, Wilson S. 2007. Toward domain-neutral human-level metacognition. AAAI Spring Symposium on Logical Formalizations of Commonsense Reasoning.

Schmill M, Josyula D, Anderson ML, Wilson S, Oates T, Perlis D, Fults S. 2007. Ontologies for reasoning about failures in AI systems. Proceedings from the Workshop on Metareasoning in Agent Based Systems at the Sixth International Joint Conference on Autonomous Agents and Multiagent Sytems.

Josyula DP, Fults S, Anderson ML, Wilson S, Perlis D. 2007. Application of MCL in a dialog agent. Third Language and Technology Conference.

2006

Perlis D. 2006. Theory and Application of Self-Reference: Logic and Beyond. Self-reference. 178:121-121.

Anderson ML, Oates T, Chong W, Perlis D. 2006. The metacognitive loop I: Enhancing reinforcement learning with metacognitive monitoring and control for improved perturbation tolerance. Journal of Experimental & Theoretical Artificial Intelligence. 18(3):387-411.

Anderson ML, Oates T, Chong W, Perlis D. 2006. Enhancing reinforcement learning with metacognitive monitoring and control for improved perturbation tolerance. Journal of Experimental and Theoretical Artificial Intelligence. 18(3):387-411.

2005

Grant J, Kraus S, Perlis D. 2005. A logic-based model of intention formation and action for multi-agent subcontracting. Artificial Intelligence. 163(2):163-201.

Anderson ML, Perlis D. 2005. Logic, self-awareness and self-improvement: The metacognitive loop and the problem of brittleness. Journal of Logic and Computation. 15(1):21-21.

Anderson ML, Perlis D. 2005. The roots of self-awareness. Phenomenology and the Cognitive Sciences. 4(3):297-333.

Josyula DP, Anderson ML, Perlis D. 2005. Metacognition for dropping and reconsidering intentions. AAAI Spring Symposium on Metacognition in Computation.

Anderson ML, Gomaa W, Grant J, Perlis D. 2005. On the reasoning of real-world agents: Toward a semantics for active logic. 7-th Annual Symposium on the Logical Formalization of Commonsense Reasoning.

Grant J, Kraus S, Perlis D. 2005. Formal approaches to teamwork. We Will Show Them: Essays in Honour of Dov Gabbay. 1:39-68.

Perlis D, Norvig P. 2005. Introduction to the special review issue. Artificial Intelligence. 169(2):103-103.

2004

Anderson ML, Josyula D, Perlis D, Purang K. 2004. Active logic for more effective human-computer interaction and other commonsense applications. Proceedings of the Workshop Empirically Successful First-Order Reasoning, International Joint Conference on Automated Reasoning.

Josyula DP, Anderson ML, Perlis D. 2004. Domain-independent reason-enhanced controller for task-oriented systems-DIRECTOR. PROCEEDINGS OF THE NATIONAL CONFERENCE ON ARTIFICIAL IN℡LIGENCE. :1014-1015.

2003

Chong W, O'Donovan-Anderson M, Okamoto Y, Perlis D. 2003. Seven days in the life of a robotic agent. Innovative Concepts for Agent-Based Systems. :243-256.

Hennacy K, Swamy N, Perlis D. 2003. RGL study in a hybrid real-time system. Proceedings of the IASTED NCI.

Josyula DP, Anderson ML, Perlis D. 2003. Towards domain-independent, task-oriented, conversational adequacy. INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL IN℡LIGENCE. 18:1637-1638.

2002

Barfourosh AA, Nezhad HRM, Anderson M, Perlis D. 2002. ALLI: An Information Integration System Based on Active Logic Framework. Proceedings of the Third International Conference on Management Information Systems, Greece. :339-348.

Anderson ML, Perlis D. 2002. Symbol systems. Encyclopedia of Cognitive Science.

Anderson ML, Josyula DP, Okamoto YA, Perlis D. 2002. Time-situated agency: Active logic and intention formation. in: Workshop on Cognitive Agents, 25th German Conference on Artificial Intelligence.

Anderson ML, Okamoto Y, Josyula D, Perlis D. 2002. The use-mention distinction and its importance to HCI. Proceedings of the Sixth Workshop on the Semantics and Pragmatics of Dialog. :21-28.

Perlis D, Anderson M. 2002. Metareasoning for More Effective Human-Computer Dialogue.

2001

Bhatia M, Chi P, Chong W, Josyula DP, Okamoto Y, Perlis D, Purang K. 2001. Handling uncertainty with active logic. In Proceedings, AAAI Fall Symposium on Uncertainty in Computation.

2000

Purang K, Traum D, Purushothaman D, Chong W, Okamato Y, Perlis D. 2000. Meta-reasoning for intelligent dialog repair.

Perlis D. 2000. What does it take to refer? a reply to Bojadziev Journal of Consciousness Studies. 7(5):67-69.

Grant J, Kraus S, Perlis D. 2000. A logic for characterizing multiple bounded agents. Autonomous Agents and Multi-Agent Systems. 3(4):351-387.

Perlis D. 2000. What does it take to refer. Journal of Consciousness Studies. 7(5):67-9.

1999

Purang K, Purushothaman D, Traum D, Andersen C, Perlis D. 1999. Practical reasoning and plan execution with active logic. Proceedings of the IJCAI-99 Workshop on Practical Reasoning and Rationality. :30-38.

Edu CU, Purang K, Purushothaman D, Traum D, Andersen C, Perlis D. 1999. Fkpurang, darsana, traum, cfa, perlisg@ cs. umd. edu. In Proceedings of the IJCAI’99 Workshop on Practical Reasoning and Rationality.

Andersen C, Traum D, Purang K, Purushothaman D, Perlis D. 1999. Mixed initiative dialogue and intelligence via active logic. proceedings of the AAAI99 Workshop on Mixed-Initiative Intelligence. :60-67.

1998

Gurney J, Purang K, Perlis D. 1998. Updating Discourse Context with Active Logic. UMIACS-TR-96-62

Miller M, Perlis D, Purang K. 1998. Defaults Denied. UMIACS-TR-96-61

Perlis D, Purang K. 1998. Conversational Adequacy: Mistakes are the Essence. UMIACS-TR-96-41

1997

Nirkhe M, Kraus S, Miller M, Perlis D. 1997. How to (plan to) meet a deadline between now and then. Journal of Logic and Computation. 7(1):109-109.

Gurney J, Perlis D, Purang K. 1997. Interpreting presuppositions using active logic: From contexts to utterances. Computational Intelligence. 13(3):391-413.

Perlis D. 1997. Consciousness as self-function. Journal of Consciousness Studies, 4. 5(6):509-525.

Perlis D. 1997. Sources of, and exploiting, inconsistency: preliminary report. JOURNAL OF APPLIED NONCLASSICAL LOGICS. 7:13-24.

1996

Miller M, Perlis D. 1996. Automated inference in active logics. JOURNAL OF APPLIED NONCLASSICAL LOGICS. 6:9-28.

1995

Perlis D. 1995. Consciousness and complexity: the cognitive quest. Annals of Mathematics and Artificial Intelligence. 14(2):309-321.

Gordon D, Perlis D. 1995. Explicitly Biased Generalization. Goal-Driven Learning. :321-354.

Perlis D. 1995. Papers on Context: Theory and Practice. Fundamenta Informaticae. 23(2):145-148.

Nirkhe M, Kraus S, Perlis D. 1995. Thinking takes time: a modal active-logic for reasoning in time. Proc. of BISFAI-95.

1994

Elgot-drapkin J, Gordon D, Kraus S, Miller M, Nirkhe M, Perlis D. 1994. Calibrating, Counting, Grounding, Grouping. FS-94-03

Perlis D. 1994. An Error-Theory of Consciousness. MARYLAND COMPUTER SCIENCE.

Perlis D, V.S. Subrahmanian. 1994. Meta-languages, reflection principles and self-reference. Handbook of logic in artificial intelligence and logic programming. :323-358.

Perlis D, Miller M, Perlis D. 1994. What Experts Deny, Novices Must Understand. In 3rd International Workshop on Human and Machine Cognition.

1993

Nirkhe M, Kraus S, Perlis D. 1993. Situated reasoning within tight deadlines and realistic space and computation bounds. Proc. Common Sense. 93

Miller M, Perlis D. 1993. Presentations and this and that: logic in action. Proceedings of the 15th Annual Conference of the Cognitive Science Society, Boulder, Colorado. 251

Elgot-drapkin J, Kraus S, Miller M, Nirkhe M, Perlis D. 1993. Vacuum-logic. Proceedings of AAAI 1993 Fall Symposium Series: Instantiating Real-World Agents. :51-54.

Perlis D. 1993. Logic and Artificial Intelligence: A New Synthesis? ANNALES-SOCIETATIS MATHEMATICAE POLONAE SERIES 4. 18:297-297.

1991

Elgot-drapkin J, Miller M, Perlis D. 1991. Memory, reason and time: the Step-Logic approach. Philosophy and AI: Essays at the Interface. :79-103.

Miller M, Perlis D. 1991. Typicality constants and range defaults: Some pros and cons of a cognitive model of default reasoning. Methodologies for Intelligent Systems. :560-569.

Etherington DW, Kraus S, Perlis D. 1991. Nonmonotonicity and the scope of reasoning. Artificial Intelligence. 52(3):221-261.

Kraus S, Nirkhe M, Perlis D. 1991. Deadline-coupled real-time planning. Innovative approaches to planning, scheduling and control: proceedings of a Workshop [on Innovative Approaches to Planning, Scheduling, and Control], held at San Diego, California, November 5-8, 1991. :100-100.

Kraus S, Perlis D, Horty JF. 1991. Reasoning about ignorance: A note on the Bush-Gorbachev problem. Fundam. Inform.. 15(3-4):325-332.

Perlis D, Elgot-Drapkin JJ, Miller M. 1991. Stop the world—I want to think. International Journal of Intelligent Systems. 6(4):443-456.

Perlis D. 1991. Putting One's Foot in One's Head–Part I: Why. Noûs. :435-455.

Nirkhe M, Kraus S, Perlis D. 1991. Fully deadline-coupled planning: One step at a time. Methodologies for Intelligent Systems. :589-599.

1990

Perlis D. 1990. Intentionality and defaults. International J. of Expert Systems. 3:345-354.

Elgot-Drapkin JJ, Perlis D. 1990. Reasoning situated in time I: Basic concepts. Journal of Experimental and Theoretical Artificial Intellige. 2(1):75-98.

Perlis D. 1990. Thing and Thought. Knowledge Representation and Defeasible Reasoning. Kluwer.