Commonsense-based interfaces
Marvin Minsky · Communications of the ACM · 2000
The article focuses on cognitive modeling for games and animation Biblioteca de Ciencias y Tecnología Normal Biblioteca de Ciencias y Tecnología 2 50 2006-05-25T23:21:00Z 2006-05-25T23:21:00Z 1 148 819 UCLA 6 1 966 11.6568 Clean Clean 21 false false false MicrosoftInternetExplorer4 /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Tabla normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin:0cm; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:10.0pt; font-family:"Times New Roman"; mso-ansi-language:#0400; mso-fareast-language:#0400; mso-bidi-language:#0400;} The article deals with the subject of developing commonsense-based user interfaces, a machine that truly learns by itself, which demands a commonsense knowledge of representing activities that are commonly known. In order that computers understand humans, it is essential to equip them with adequate knowledge. Commonsense thoughts refer to things that most people can do, without even knowing they are doing. Machines do not posses these thoughts, as they are unable to comprehend meaning, which is an intuitive thing. Acquiring commonsense thought invokes the aspect of knowledge about how to think. The most usual way to represent knowledge is to select a representation. Commonsense knowledge requires multiple representations, and there is no best way to represent knowledge. A proficient architecture theory based on multiple representations and multi-modal reasoning can assist in designing systems that allow studying and understanding commonsense knowledge.