caa a22 4500 46795237X CHVBK 20180323165703.0 cr unu---uuuuu 170328e19891201xx s 000 0 eng 10.1023/A:1022658823707 doi (NATIONALLICENCE)springer-10.1023/A:1022658823707 (NATIONALLICENCE)springer-10.1007/BF00130718 Chandrasekaran B. Laboratory for AI Research, Department of Computer and Information Science, The Ohio State University, 43210., Columbus, OH aut Task-Structures, Knowledge Acquisition and Learning [Elektronische Daten] [B. Chandrasekaran] One of the old saws about learning in AI is that an agent can only learn what it can be told, i.e., the agent has to have a vocabulary for the target structure which is to be acquired by learning. What this vocabulary is, for various tasks, is an issue that is common to whether one is building a knowledge system by learning or by other more direct forms of knowledge acquisition. I long have argued that both the forms of declarative knowledge required for problem solving as well as problem-solving strategies are functions of the problem-solving task and have identified a family of generic tasks that can be used as building blocks for the construction of knowledge systems. In this editorial, I discuss the implication of this line of research for knowledge acquisition and learning. Kluwer Academic Publishers, 1989 Generic tasks nationallicence learning nationallicence knowledge acquisition nationallicence task-structure nationallicence Machine Learning Kluwer Academic Publishers-Plenum Publishers 4/3-4(1989-12-01), 339-345 0885-6125 4:3-4<339 1989 4 10994 https://doi.org/10.1023/A:1022658823707 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1023/A:1022658823707 text/html Onlinezugriff via DOI NATIONALLICENCE 100 1- Chandrasekaran B. Laboratory for AI Research, Department of Computer and Information Science, The Ohio State University, 43210., Columbus, OH aut NATIONALLICENCE 773 0- Machine Learning Kluwer Academic Publishers-Plenum Publishers 4/3-4(1989-12-01), 339-345 0885-6125 4:3-4<339 1989 4 10994 NATIONALLICENCE 856 40 https://doi.org/10.1007/BF00130718 text/html Onlinezugriff via DOI NATIONALLICENCE 100 1- Chandrasekaran B. Laboratory for AI Research, Department of Computer and Information Science, The Ohio State University, 43210, Columbus, OH, USA aut NATIONALLICENCE 773 0- Machine Learning Kluwer Academic Publishers 4/3-4(1989-12-01), 339-345 0885-6125 4:3-4<339 1989 4 10994 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE NATIONALLICENCE NL-springer