Abstract
Introduction
I. ISAM as a Conceptual Framework
ISAM vs. Current Practice
II. ISAM as a Reference Model Architecture
The ISAM Node
Df: framework
Df: architecture
Df: reference model architecture
Df: intelligent system
Df: appropriate action
Df: success
Df: behavioral goal
Df: functional elements
Df: process
Df: sensory processing
Df: world modeling
Df: world model
Df: system model
Df: knowledge database
Df: value judgment
Df: behavior generation
Df: command
Df: control law
III. ISAM Engineering Guidelines
Behavior Generation
Df: The Behavior Generation (BG) process
Df: Job Assignor (JA)
Df: job
Df: Scheduler (SC)
Df: Plan Selector (PS)
Df: Executor (EX)
Organizational Units vs. Agents
Df: agent
Tasks and Plans
Df: task
Df: task goal
Df: do_task
Df: task command
Df: task command frame
Task Knowledge
Df: task frame
Df: task object
Df: task parameters
Df: tool
Task Decomposition
Df: task decomposition
Plans and Planning
Df: plan
Df: job plan
Df: task plan
Df: schedule
Df: process plan
Df: production plan
Df: planning
Plan Execution
Emergency Action
Timing
Integration of Reactive and Deliberative
World Modeling (WM)
Knowledge Database (KD)
Sensory Processing (SP)
Value Judgment (VJ)
An Example Node
Elementary Loop of Functioning
Virtual Actuators and Virtual Sensors
Three Perspectives of ISAM
The Computational Hierarchy for an Intelligent
Machine Tool
An RCS Implementation of ISAM
NML Communications
Summary and Conclusions
References