The Codex of Business Writing Software for Real-World Solutions 2.pptx
Goal Dynamics_From System Dynamics to Implementation
1. LOGO
23rd International Conference on Advanced Information Systems
Engineering, London, United Kingdom
Goal Dynamics
From System Dynamic to Multi-agent systems
PhD Researcher
Amjad A. Fayoumi
Supervisor
Peri Loucopoulos
3. Hot RE Topics
Many research Questions
Still Waiting for answers…
New Concepts of Design
Fluidity and in-completeness of Design
Visualization, Representation and Analysis of
requirements
Managing Complexity
Business model /Process Focus
Stakeholder Issues
Impact of New Technologies / Architectures
Source: High-Impact Requirements for Software-Intensive Systems: A Manifesto
Matthias Jarke, Pericles Loucopoulos, Kalle Lyytinen, John Mylopoulos, William Robinson
Dynamic & Complexity Modeling
4. What, Where, When & How
Change
Direction
Risk
Impact
Change
Speed
Time
Opportunity
Dynamic & Complexity Modeling
5. What, Where, When & How
Change
Direction
Impact
We need:
•Forecasting/
situational sensing (
High, Medium, Low).
•Rectification of
impact.
Change
•Fast decision making.
•Response in the Real
time.
•Agile Design and
Infrastructure
Risk
Speed
Time
Opportunity
Dynamic & Complexity Modeling
9. Models Integration
Modeling integration
We can use the “layer interface” between models to
ensure interoperability and interchange.
Strategic business model ontology (SBMO) For Dynamic Business Model.
Reza Samavi and Eric Yu, 2008
10. Models Integration
Modeling integration
We can use the “layer interface” between models to
ensure interoperability and interchange.
How To Implement ?
Strategic business model ontology (SBMO) For Dynamic Business Model.
Reza Samavi and Eric Yu, 2008
11. What we are going to study
Research blocks
Research components
Simulation
Complexity
Language
Ontology
Mining
Self Organizing
Event sensing
Emergence
Chaos
Dynamics
Process, Rule, Event
Model Driven
MAS
Social Modeling
Mental Model
Creativity
Collaboration
Resources
Economy
Ecology
Implementation
Dynamic & Complexity Modeling
13. How they are Relevant?
Socio-technical systems is combination of
cognitive, social, ecological, knowledge and
technical components.
Thus required to link the components from each
level together.
The goal in the both research questions is to link social
modeling and analysis techniques with information
systems, particularly with multi-agents systems, which
has more capability to reflect the human behavior.
Dynamic & Complexity Modeling
14. In my first research question, I want to define the
goal creation process and find proper method to
model the cognitive task in order to develop a
dynamic design mechanism for IS.
Requirement engineering challenges,
cognitive design methods and
modeling approaches to describe
dynamics, intentional and social
ontology
RESEARCH OBJECTIVE & RESEARCH
QUESTIONS
E. Yu, P. Giorgini, N. Maiden, J. Mylopoulos
(2010) Social Modeling for Requirements
Engineering
Research Gap
• Jarke M, Loucopoulos P, Lyytinen K,
Mylopoulos J, Robinson W. High-Impact
Requirements for Software-Intensive
Systems: A Manifesto. 2009.
fuzzy goal is a
result of changing
state of cognitive
process, or in other
case result of
ecological change.
(how it can be
defined and
measured for rapid
IS design?)
• Gonzalez C, Saner L, MODELING AND
MEASURING SITUATION AWARENESS
IN INDIVIDUALS AND TEAMS
SocioManag Journal, 19(5): 2009.
• Gero J and Kannengiesser U, The
situated function–behaviour–
structure framework. Elsevier Ltd
doi:10.1016/j.destud.2003.10.010.
• E. S. Yu, Social modelling and i*,
Conceptual Modeling: Foundations and
Applications, ISBN 978-3-642-02462-7,
2009.
source: MATTHIAS JARKE, NATURE TEAM, META MODELS
FOR REQUIREMENTS ENGINEERING, KAW96 proceedings,
1996
Research Question: How we can provide dynamic method to analyze and capture goal dynamics in social context?
Dynamic & Complexity Modeling
15. The second research question takes the notion
of intelligent dynamic infrastructure
components, focusing on agent capabilities and
model driven development.
Dynamic systems framework based
on MAS, adaptive technology and
modeling techniques for handling
complex distributed event in the real
time
RESEARCH OBJECTIVE & RESEARCH
QUESTIONS
Scholars found that conceptual modeling is an
important way to bring social and complexity to
information system development, such
framework need several dimension from higher
level to technical one.
Research Gap
• Kolp M, Giorgini P, Mylopoulos J. A Goal-Based
Organizational Perspective on MultiAgent Architectures. Research Policy, 1451: 1–21
•Xiao L., Greer D., Adaptive Agent Model: Software
Adaptivity using an Agent-oriented Model-Driven
Architecture, Information and Software Technology 51
(2009) 109–137
•Samavi R, Yu E. & Topalogluo T., 2009, Strategic
reasoning about business models: a conceptual
modeling approach, journal of information system and
e-business management, volume 7, issue 2, page 171198,2009.
• Henrickson L, McKelvey B, Foundations of “New”
Social Science: Institutional Legitimacy from
Philosophy, Complexity Science, Postmodernism, and
Agent-based Modeling, the National Academy of
Sciences, Vo. 99, Suppl.3, May 14, 2002, 7288–7295.
Less work has been
done to develop
characteristics that
can be applied to
identify the
individuals and multi
agents capability for
handling complex
and dynamic
business situations
Research Question: How we can provide intelligent agent capture the change in enterprise information environment?
Dynamic & Complexity Modeling
16. Iterative process for
case study
Inception
Elaboration
Many phases to the same
process (iteration)
Construction
Transition
Dynamic & Complexity Modeling
17. Methodology Breakdown
Objectives
for a solution
•Providing a
methodology for
modeling cognitive
process.
•Solve complex
and distributed
problems.
•Provide intelligent
business system.
Design and
development
•Define the
artifacts.
•Define the
process.
•Define the model
structure
•Define patterns
•Define the tool
•Define the case
Demonstration
•Modeling tools.
•Software
prototyping.
•Simulation.
•Case
study/scenario .
Evaluation
•Comparing the
results with
objectives by
defining metrics.
•Compare the
solution with
previous similar
solutions in the
domain.
Communication
•Addressing the
problem
importance.
•Discuss the
solution value and
novelty.
•The effectiveness
of the research on
the area, and
future horizons
Design science research methodology for information system researches (PEFFERS et al. , 2007)
Dynamic & Complexity Modeling
19. How it is Work?
Motivation
Model
Risk
Model
Process
Model
Role
Model
Agent
Model
www.themegallery.com
20. Goal Dynamics (Example)
Component
Example
Belief
I Believe the packing could be done, and within 30 min.
Desire
My Desire is to finish packing successfully within 20 min.
Intention
I have intention to start packing at 8:00 pm to be done hopefully at 8:20 pm
Action
The packing started at 8:00 pm.
Motivation
My intention input: I want to get ready to have a good night out with my
friends.
Expectation
I Expect to finish before the time; maybe the packing could not be ideal.
23. Social Science & Regional policy
Business interaction
Computing
Evolution & self-organisation
Constructive Cycles of
Research Process
Goal creation in
Individual and Group
storming
Organizational
Goal
Stakeholders
goals
Dynamic
Modelling
Complexity
theory
i* Framework
Rules
Ontology
FBS
Method
BMM
Agent design
Knowledge Domain
Model Driven Architecture
SBVR
High Level rules
Events
Agent
Agent
Ontology
Process
Agent
Low level rules
Agent Type
Search
Personal
Sensing
interaction
Dynamic & Complexity Modeling
