图书简介

CONSCIOUSNESS AND CAUSATION; 1 Making robots conscious of their mental states; 2 A framework for verbalizing unconscious knowledge based on inductive logic programming; 3 Legal responsibility and causation; 4 Adapting Good’s Q theory to the causation of individual events; COMPUTER VISION; 5 Making robots see; AGENTS THAT LEARN; 6 A framework for behavioural cloning; 7 Control skill, machine learning and handcrafting in controller design; 8 Personalized mail agent using inductive logic programming; 9 An experiment with browsers that learn; 10 Toward incremental knowledge correction for agents in complex environments; 11 The spontaneous self-organization of an adaptive language; FORMALISMS AND MODELS OF LEARNING; 12 Developments in computational learning and discovery theory within the framework of elementary formal systems; 13 A learnability model for universal representations and its application to top-down induction of decision trees; 14 A learning mechanism for logic programs using dynamically shared substructures; 15 PAC-learning of preference relations over interpretations in lazy nonmonotonic reasoning; 16 Tables, graphs and logic for induction; APPLIED SCIENTIFIC DISCOVERY; 17 A connectionist approach to numeric law discovery; 18 Drug design by machine learning; CONCURRENT DECLARATIVE PROGRAMMING; 19 Debugging for a declarative programming language; 20 A massively parallel simplification logic for functional and relational computing; HISTORY OF COMPUTING; 21 The Turing-Wilkinson lecture series on the automatic computing engine; 22 A lecture and two broadcasts on machine intelligence by Alan Turing; 23 Repairs to Turing’s universal computing machine; 24 W. S. Jevons: his logical machine and work on induction and Boolean algebra

Trade Policy 买家须知