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The panalogy architecture for commonsense computing (0)

by P SINGH
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EM-ONE: An Architecture for Reflective Commonsense Thinking

by Push Singh, Marvin Minsky , 2005
"... This thesis describes EM-ONE, an architecture for commonsense thinking capable of reflective reasoning about situations involving physical, social, and mental dimensions. EM-ONE uses as its knowledge base a library of commonsense narratives, each describing the physical, social, and mental activity ..."
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This thesis describes EM-ONE, an architecture for commonsense thinking capable of reflective reasoning about situations involving physical, social, and mental dimensions. EM-ONE uses as its knowledge base a library of commonsense narratives, each describing the physical, social, and mental activity that occurs during an interaction between several actors. EM-ONE reasons with these narratives by applying "mental critics, " procedures that debug problems that exist in the outside world or within EM-ONE itself. Mental critics draw upon commonsense narratives to suggest courses of action, methods for deliberating about the circumstances and consequences of those actions, and—when things go wrong—ways to reflect upon and debug the activity of previously invoked mental critics. Mental critics are arranged into six layers, the reactive, deliberative, reflective, self-reflective, self-conscious, and self-ideals layers. The selection of mental critics within these six layers is itself guided by a separate collection

EventMinder: A Personal Calendar Assistant That Understands Events

by Dustin Arthur Smith, Henry Lieberman, Prof Deb Roy, Dustin Arthur Smith - Master Thesis, MIT , 2007
"... Calendar applications do not understand calendar entries. This limitation prevents them from offering the range of assistant that can be provided by a human personal assistant. Understanding calendar entries is a difficult problem because it involves integrating many types of knowledge: commonsense ..."
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Calendar applications do not understand calendar entries. This limitation prevents them from offering the range of assistant that can be provided by a human personal assistant. Understanding calendar entries is a difficult problem because it involves integrating many types of knowledge: commonsense knowledge, about common events and the the partic-ular instances in the world, and user knowledge about the individual’s preferences and goals. In this thesis, I present two models of event understanding: Romulus and Julius. Romulus addresses the problem of how missing information in a calendar entry can be filled in by having an event structure, goal knowledge, and past examples. This system is able to learns by observing the user, and constrains its inductive hypothesis by using knowledge about common goals specific to the event. Although this model is capable of representing some tasks, its structural assumptions limit the range of events that it can represent. Julius treats the event understanding problem as a plan retrieval problem, and draws
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...ypes of problems, as there are many ways in which problems could occur. An example of such an architecture is the Emotion Machine [29, 38], where reflective critics detect general classes of problems =-=[37]-=-, such as “missing causal dependencies” and “invalid knowledge structures” and engage specific learning mechanisms to fix them. Limiting Romulus to this set of questions, a slot-filler object was buil...

Brief Description

by Push Singh
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...a wide range of abilities. 4.6 Unification We believe that the proposal described here (and more fully in Marvin Minsky’s forthcoming book The Emotion Machine [16], Push Singh’s Ph.D. thesis proposal =-=[17]-=-, a recent IBM Systems Journal article [18], and a forthcoming AI Magazine article [19]) is the most wide reaching attempt to bring together ideas from many different corners of artificial intelligenc...

Acquisition of Procedural Commonsense Knowledge in a 3-D Simulated World

by Moin Ahmad , 2006
"... In this paper we describe the design of a solution for the acquisition of procedural commonsense knowledge in a situated simulated environment. In this system, users in a simulated game environment, control virtual robots to do various tasks in a real world scenario. In the current system, users are ..."
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In this paper we describe the design of a solution for the acquisition of procedural commonsense knowledge in a situated simulated environment. In this system, users in a simulated game environment, control virtual robots to do various tasks in a real world scenario. In the current system, users are situated in a restaurant scenario and take charge of teaching their apprentice robots actions to complete tasks. The main benefit of situating acquisition of knowledge in a real world environment is that procedures and actions in situations get learnt in many different realms of thought and at many different levels of detail ultimately learning a task in many ways.

LIBRARIES EventMinder: A Personal Calendar Assistant That Understands Events

by Dustin Arthur Smith, Henry Lieberman, Dustin Arthur Smith , 2007
"... Calendar applications do not understand calendar entries. This limitation prevents them from offering the range of assistance that can be provided by a human personal assistant. Understanding calendar entries is a difficult problem because it involves integrating many types of knowledge: commonsense ..."
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Calendar applications do not understand calendar entries. This limitation prevents them from offering the range of assistance that can be provided by a human personal assistant. Understanding calendar entries is a difficult problem because it involves integrating many types of knowledge: commonsense knowledge, about common events and the particular in-stances in the world, and user knowledge about the individual's preferences and goals. In this thesis, I present two models of event understanding: ROMULUS and JULIUS. ROMULUS addresses the problem of how missing information in a calendar entry can be filled in by having an event structure, goal knowledge, and past examples. This system is able to learn by observing the user, and constrains its inductive hypothesis by using knowledge about common goals specific to the event. Although this model is capable of representing some tasks, its structural assumptions limit the range of events that it can represent. JULIUS treats event understanding as a plan retrieval problem, and draws from the COMET plan library of 295 everyday plans to interpret the calendar entry. These plans
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...d need a reflective mechanism to oversee and direct the plan debugging. An example of such an architecture is the Emotion Machine [29, 38], where reflective critics detect general classes of problems =-=[37]-=-, such as "missing causal dependencies" and "invalid knowledge structures" and engage specific learning mechanisms to fix them. Limiting ROMULUS to this set of questions, a slot-filler object was buil...

Panalogies for Common Sense Reasoning

by Rob Speer , 2006
"... The Open Mind Common Sense project has a goal of giving computers access to the kind of basic information that people inherently know and use all the time to think about the world. This is the knowledge that will allow computers to think more like people, as long as they have an effective way to acc ..."
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The Open Mind Common Sense project has a goal of giving computers access to the kind of basic information that people inherently know and use all the time to think about the world. This is the knowledge that will allow computers to think more like people, as long as they have an effective way to access and use that knowledge.
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...“ways to think” that used different representations, and to be able to easily and efficiently change from one representation to another so that each way to think would not have to start from scratch [=-=Singh, 2002-=-]. Push called his system to do this the Panalogy Architecture, referring to Marvin Minsky’s concept of “panalogies” as a way that the mind reuses representations in different domains to enable more a...

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