[go: up one dir, main page]

Wooldridge, 2000 - Google Patents

On the sources of complexity in agent design

Wooldridge, 2000

View PDF
Document ID
11581950322687100473
Author
Wooldridge M
Publication year
Publication venue
Applied Artificial Intelligence

External Links

Snippet

This article addresses the question of what makes agent design hard. This is a fundamental issue not just for the intelligent agents community, but also for the computer science and software engineering communities in general. The article begins by presenting a simple …
Continue reading at www.tandfonline.com (PDF) (other versions)

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F9/00Arrangements for programme control, e.g. control unit
    • G06F9/06Arrangements for programme control, e.g. control unit using stored programme, i.e. using internal store of processing equipment to receive and retain programme
    • G06F9/46Multiprogramming arrangements
    • G06F9/48Programme initiating; Programme switching, e.g. by interrupt
    • G06F9/4806Task transfer initiation or dispatching
    • G06F9/4843Task transfer initiation or dispatching by program, e.g. task dispatcher, supervisor, operating system
    • G06F9/4881Scheduling strategies for dispatcher, e.g. round robin, multi-level priority queues
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/50Computer-aided design
    • G06F17/5009Computer-aided design using simulation
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N99/00Subject matter not provided for in other groups of this subclass
    • G06N99/005Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computer systems based on biological models
    • G06N3/02Computer systems based on biological models using neural network models
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00Computer systems utilising knowledge based models
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F11/00Error detection; Error correction; Monitoring
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F21/00Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity

Similar Documents

Publication Publication Date Title
Kwiatkowska et al. Probabilistic model checking: Advances and applications
Wegner Why interaction is more powerful than algorithms
Page Simulation modeling methodology: principles and etiology of decision support
US20100036787A1 (en) Dynamic Constraint Satisfaction Problem Solver That Recreates Structure Across Sessions
US8126994B2 (en) Simulation techniques in a distributed computer system
Hölzl et al. Reasoning and learning for awareness and adaptation
CN105630578A (en) Distributed multi-agent system-based combat simulation engine
Wooldridge On the sources of complexity in agent design
Blessing et al. Run, actor, run: towards cross-actor language benchmarking
Bozzano et al. Logic Programming and Multi-Agent Systems: A synergic combination for applications and semantics
Amos-Binks et al. Planning graphs for efficient generation of desirable narrative trajectories
Nii et al. Experiments on Cage and Poligon: Measuring the performance of parallel blackboard systems
Marthi et al. Writing Stratagus-playing agents in concurrent ALisp
Lúčny Building complex systems with agent-space architecture
McManus et al. Design and analysis techniques for concurrent blackboard systems
Vallecillo A journey through the secret life of models
Zhai et al. A Survey of Task Planning with Large Language Models
Pedersen et al. The symbiosis of concurrency and verification: teaching and case studies
Talukdar Autonomous cyber agents: Rules for collaboration and concurrency
Bernon et al. Engineering self-modeling systems: application to biology
Wang et al. Exploring the cognitive foundations of software engineering
Anderson A simulation substrate for real-time planning
Murray et al. RoboLog Koblenz 2001
Helleboogh et al. Towards time management adaptability in multi-agent systems
Leite et al. Evolving characters in role playing games