Short answer
Incorporate agent-based principles into system design to create more intelligent, adaptable, and distributed solutions.
- Field
- Innovation & Design
- Source
- ePrints Soton (University of Southampton) (2003)
- Method
- Roadmap development through expert consultation and consensus building.
- Sample
- Over 150 organizations
- Evidence
- Strong effect
Agent-based computing offers a flexible and scalable paradigm for developing complex, next-generation systems by leveraging distributed intelligence. This innovation & design research insight is drawn from a 2003 study published in ePrints Soton (University of Southampton). Using Roadmap development through expert consultation and consensus building. with Over 150 organizations, researchers explored how this design variable affects real-world outcomes. The key design takeaway: Incorporate agent-based principles into system design to create more intelligent, adaptable, and distributed solutions.
Agent-Based Computing: A Roadmap for Next-Generation Systems
Agent-based computing offers a flexible and scalable paradigm for developing complex, next-generation systems by leveraging distributed intelligence.
ePrints Soton (University of Southampton) · 2003
Key Findings
- 01Agent-based computing is fundamental to the realization of next-generation computing.
- 02A clear roadmap is needed to address challenges and focus R&D efforts in agent technologies.
Application
Design takeaway
Incorporate agent-based principles into system design to create more intelligent, adaptable, and distributed solutions.
How to apply
When designing complex, distributed systems, consider how individual components can act as intelligent agents with specific goals and communication protocols.
Project actions
- 01When designing a system, break it down into smaller, intelligent 'agents' that can communicate and collaborate.
- 02Consider how these agents can adapt to changes in their environment or user needs.
Method & Evidence
Variables
Strengths & Limitations
Strengths
- +Comprehensive input from a wide range of industry and academic stakeholders.
- +Focus on future trends and challenges, providing a forward-looking perspective.
Limitations
The complexity of simulating and managing a large number of interacting agents can be a significant challenge.
Reliability & validity
The reliability of the roadmap stems from the consensus-building process among numerous experts. Validity is supported by the breadth of organizations involved, representing diverse perspectives on the field's future.
Think critically
How might the 'agent' metaphor influence the user's perception and interaction with a system, and what are the ethical considerations of deploying autonomous agents?
Design Principles
"Design systems as a collection of interacting, intelligent agents to achieve emergent complexity and robustness."
Understanding agent-based computing is crucial for designing systems that can adapt to dynamic environments and handle complex interactions. This approach can lead to more robust, intelligent, and autonomous products and services.
What This Means for Your Design
Think of complex systems like a team of smart workers, each doing their own job but communicating to get a bigger task done. This is agent-based computing, and it's key for future tech.
How to use in your project
- 1.Use the concept of agent-based computing to justify a design approach for complex systems, highlighting the benefits of distributed intelligence and adaptability.
Add to My Project
Quick Cite
Paragraph starter
Agent-based computing provides a powerful paradigm for designing next-generation systems, enabling distributed intelligence and adaptability. By conceptualizing systems as a collection of interacting agents, designers can create solutions that are more robust and capable of handling complex, dynamic environments, aligning with the roadmap for advanced computing.
Source
ePrints Soton (University of Southampton)
Agent Technology: Enabling Next Generation Computing (A Roadmap for Agent Based Computing)
journal · 2003
View sourceQuestions About This Research
- What does the research say about agent-based computing: a roadmap for next-generation systems?
- Incorporate agent-based principles into system design to create more intelligent, adaptable, and distributed solutions. Evidence: ePrints Soton (University of Southampton) (2003).
- Why does "Agent-Based Computing: A Roadmap for Next-Generation Systems" matter for design?
- Understanding agent-based computing is crucial for designing systems that can adapt to dynamic environments and handle complex interactions. This approach can lead to more robust, intelligent, and autonomous products and services.
- How can designers apply this research?
- Incorporate agent-based principles into system design to create more intelligent, adaptable, and distributed solutions.
- What were the main findings?
- Agent-based computing is fundamental to the realization of next-generation computing.. A clear roadmap is needed to address challenges and focus R&D efforts in agent technologies.
- What research method was used?
- Roadmap development through expert consultation and consensus building. with Over 150 organizations.
- How strong is the evidence?
- Evidence strength is rated Strong effect, based on a 2003 journal from ePrints Soton (University of Southampton).
- What should I do differently in my next project?
- When designing complex, distributed systems, consider how individual components can act as intelligent agents with specific goals and communication protocols.
- What are the limitations?
- The roadmap is a living document and its predictions are subject to the rapid evolution of technology; the specific technologies and challenges identified may change over time.