CS&IS meeting-jacamo-web for collaborative and interactive programming
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This document summarizes research on developing a framework for collaborative and interactive agent-oriented developer operations. It discusses how agents can collaborate to achieve goals, but developing complex systems requires integration and collaboration. The framework aims to enhance collaboration and deliver faster agent development. It explains key concepts like what is an agent, multi-agent oriented programming, interactive programming and why they are important. It demonstrates a sample agent-based marketplace application and discusses next steps like improving understandability, fault tolerance and integrating human users as agents.
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CS&IS meeting-jacamo-web for collaborative and interactive programming
- 1. Cleber Amaral, Timotheus Kampik and Stephen Cranefield CS&IS Seminars, May 15, 2020 Partially supported by CAPES, PrInt CAPES-UFSC “Automation 4.0” and by the Wallenberg AI, Autonomous Systems and Software Program (WASP) A Framework for Collaborative and Interactive Agent-oriented Developer Operations
- 2. Our research ● Agents collaborate to achieve mutual goals ● Developing complex systems requires integration and collaboration ● It also requires continuous improvements ● How to enhance collaboration and deliver agents development faster?
- 3. But, first... ● What is an agent? ● What is Multi-Agent Oriented Programming (MAOP)? ● Why do we need another paradigm? ● What is interactive and collaborative programming, and why it is important for MAOP?
- 4. What is an agent? “An agent is anything that can be viewed as perceiving its environment through sensors and acting upon that environment through actuators.” Russell and Norvig Key word: autonomy
- 5. Which kind of challenge we are talking about? Limited view of the world Gathering useful data Sorting data Making decisions Trustfulness Ethics Norms Integration with humans Integration with artefacts Argumentation Explainability ...
- 6. Which kind of agent we are talking about? Also about Social, Utility-based and Learning agents. Autonomous, Rational and Goal-oriented
- 7. Multi-Agent Systems (MAS) can be complex... organisation dimension agent dimension environment dimension
- 8. Which facilities do we need for developing agents?
- 9. Interactive programming: how do agents learn? teaching experiencesProgramming
- 10. What is interactive programming? Standard programming Interactive programming
- 11. MARKETPLACE
- 13. Organisation: factory Agent(s): buyer Artefacts(s): inputStock Engineer: engineerA
- 14. Organisation: supplier Agent(s): seller Artefacts(s): outputStock Engineer: engineerB
- 15. BUSINESS!
- 17. What is next? ● Extend understandability and usefulness checks ● Isolation support and separation of concerns (organizations in containers) ● Fault tolerance support ● Users as agents ● Business user abstractions (“low code” development)
- 18. Thanks! Questions? Please, give us a feedback! Paper: http://ifaamas.org/Proceedings/aamas2020/pdfs/p2092.pdf Try jacamo-web: http://191.36.8.42:8080/ or http://jacamo-web.herokuapp.com/ Grab on github: https://github.com/jacamo-lang/jacamo-web Contact us: cleber.amaral@ifsc.edu.br tkampik@cs.umu.se stephen.cranefield@otago.ac.nz