Library of American University of Madaba
Your cart is empty.
Hartanto, Ronny.
A Hybrid Deliberative Layer for Robotic Agents Fusing DL Reasoning with HTN Planning in Autonomous Robots / [electronic resource] : by Ronny Hartanto. - XXII, 215 p. online resource. - Lecture Notes in Computer Science, 6798 0302-9743 ; .
The Hybrid Deliberative Layer (HDL) solves the problem that an intelligent agent faces in dealing with a large amount of information which may or may not be useful in generating a plan to achieve a goal. The information, that an agent may need, is acquired and stored in the DL model. Thus, the HDL is used as the main knowledge base system for the agent. In this work, a novel approach which amalgamates Description Logic (DL) reasoning with Hierarchical Task Network (HTN) planning is introduced. An analysis of the performance of the approach has been conducted and the results show that this approach yields significantly smaller planning problem descriptions than those generated by current representations in HTN planning.
9783642225802
Computer science.
Computer Communication Networks.
Software engineering.
Artificial intelligence.
Computer simulation.
Computer Science.
Artificial Intelligence (incl. Robotics).
Simulation and Modeling.
User Interfaces and Human Computer Interaction.
Computation by Abstract Devices.
Computer Communication Networks.
Software Engineering.
Q334-342 TJ210.2-211.495
006.3
A Hybrid Deliberative Layer for Robotic Agents Fusing DL Reasoning with HTN Planning in Autonomous Robots / [electronic resource] : by Ronny Hartanto. - XXII, 215 p. online resource. - Lecture Notes in Computer Science, 6798 0302-9743 ; .
The Hybrid Deliberative Layer (HDL) solves the problem that an intelligent agent faces in dealing with a large amount of information which may or may not be useful in generating a plan to achieve a goal. The information, that an agent may need, is acquired and stored in the DL model. Thus, the HDL is used as the main knowledge base system for the agent. In this work, a novel approach which amalgamates Description Logic (DL) reasoning with Hierarchical Task Network (HTN) planning is introduced. An analysis of the performance of the approach has been conducted and the results show that this approach yields significantly smaller planning problem descriptions than those generated by current representations in HTN planning.
9783642225802
Computer science.
Computer Communication Networks.
Software engineering.
Artificial intelligence.
Computer simulation.
Computer Science.
Artificial Intelligence (incl. Robotics).
Simulation and Modeling.
User Interfaces and Human Computer Interaction.
Computation by Abstract Devices.
Computer Communication Networks.
Software Engineering.
Q334-342 TJ210.2-211.495
006.3