System Design Models of AOM: Agent Model, Agent Acquaintance Model, Interaction Model, Agent Knowledge Model and Agent Behaviour Model

Transcription

1 System Design Models of AOM: Agent Model, Agent Acquaintance Model, Interaction Model, Agent Knowledge Model and Agent Behaviour Model Prof Kuldar Taveter, Department of Informatics Tallinn University of Technology

2 The purpose of the course Learn how to design by AOM a sociotechnical system that delivers the overall solution for the end users through interactions between its components and where each component follows the execution loop of an abstract agent

3 Logistics Lectures on Wednesdays at in the main building of TUT, lecture hall U06A-229 Workshops/lab classes for stationary students on Wednesdays at in the ICT building of TUT at Akadeemia Road 15A, computer class ICT- 501 Consultation times by Prof Kuldar Taveter: on demand in the ICT building of TUT at Akadeemia Road 15A, Room ICT-634 Consultation times by Dr Alex Norta: on demand in the ICT building of TUT at Akadeemia Road 15A, Room ICT-639 or Skype: alexbafana

4 Communication Screen Shot at PM Course webpage: or Skype: alexbafana

5 Miniproject Design by agent-oriented modelling and prototyping or simulation of a sociotechnical system Desired features: Open Social Intelligent Adaptive Solves a real-world problem no dating services! Interdisciplinary examples from 2013:Two Mektory projects: Healthminer Phoenix

6 Assessment Presentation of goal model and role models 5% Presentation of analysis models 5% Presentation of analysis and design models 5% Final presentation of miniprojects 15% Submitted report approximately 2000 words of text along with appendices, figures, tables, graphs and examples of source code 20% Final written exam 50% Teams of 3-4 students and topics for miniprojects should be agreed and short proposals should be sent to Prof Taveter by the 18th of February

7 Workshops / lab classes Using JADE ( or some other relevant platform of your choice like Jason ( for implementing your miniproject Presentations on miniprojects Help and advice on miniprojects

8 Imposing structure on P2P systems Protocol for the network Roles for the nodes Private vs shared data Partial or full automation for the nodes (sociotechnical system) Digital assets Smart contracts between smart nodes aka agents Distributed autonomous organizations consisting of agents

9 Last time Goal Model Role Model Organization Model Domain Knowledge Model

10 Running example: Fair grocery shopping Customers post the prices they paid for their groceries and QoS information A prospective shopper enters a grocery list and obtains a pointer to the store(s) with the lowest total price (and best service) Each customer has an app representing his/her interests and interacting with the agents of the other customers Results from initial experiments by Prof. Michael Huhns and Hongying Du: savings up to 21% can be obtained!

11 Product information P2P system Product information Product information

12 Price information P2P system Price information Price information

13 Part VI DECIDING SOFTWARE COMPONENTS

14 Software, hardware, humans,? We now need to decide the software system boundary of the socio-technical system

15 Software system boundary for fair grocery shopping IsPeerTo IsBenevolentTo Customer Store Controls IsPeerTo Assistant Coordinator

16 Software system boundary for smart parking IsPeerTo Controls isbenevolentto Commuter Parking Assistant isbenevolentto GPS Service Provider Parking Service Provider Private Parking Service Provider Municipal Parking Service Provider

17 Agents We now need to decide the types of components agents of the sociotechnical system Why agents? Proactivity Reactivity Social nature

18 What is agent? An active entity as opposed to a passive entity An entity that can act in the environment, perceive events, and reason An entity that acts on behalf of someone or somebody

19 Agent Agent is an entity that perceives and affects its environment and performs reasoning Agent is: reactive; proactive; social. Agent interacts in an asynchronous way

20 The abstract agent architecture

21 The execution loop of an abstract agent while the agent is unfulfilled do sense the environment; update the knowledge base; reason; choose actions; act; end while

22 What is intelligent agent? An agent that is reactive, proactive, and social Examples

23 Anthropomorphic qualities Beliefs Responsibilities Expectations Capabilities Goals Desires Intentions

24 The Viewpoint Framework Viewpoint aspect Abstraction layer Interaction Information Behavior Analysis Role models and organization model Domain model Goal models Design Agent models, acquaintance model, and interaction models Knowledge model Scenarios and agent behavior models Prototyping Interaction prototyping Information prototyping Behavior prototyping

25 Agent model The purpose of agent models is to transform The abstract constructs from the analysis stage roles to design constructs agent types that will be realized at runtime Many-to-many relationship between roles and agent types

26 Agent model for Patient Agent type name ShopBot Description Role(s) The Intelligent Digital Assistant for a grocery shopper Assistant Environmental considerations Barcode Scanner

27 Agent types in the smart parking system? IsPeerTo Controls isbenevolentto Commuter Parking Assistant isbenevolentto GPS Service Provider Parking Service Provider Private Parking Service Provider Municipal Parking Service Provider

28 The Viewpoint Framework Viewpoint aspect Abstraction layer Interaction Information Behavior Analysis Role models and organization model Domain model Goal models Design Agent models, acquaintance model, and interaction models Knowledge model Scenarios and agent behavior models Prototyping Interaction prototyping Information prototyping Behavior prototyping

29 Acquaintance model The acquaintance model complements the agent model by outlining interaction pathways between the agents of the system

30 Acquaintance model for fair grocery shopping

31 Acquaintance model for smart parking?

32 The Viewpoint Framework Viewpoint aspect Abstraction layer Interaction Information Behavior Analysis Role models and organization model Domain model Goal models Design Agent models, acquaintance model, and interaction models Knowledge model Scenarios and agent behaviour models Prototyping Interaction prototyping Information prototyping Behavior prototyping

33 Interaction model Represents an interaction pattern between agents Is based on responsibilities defined for the corresponding roles

34 Two kinds of interaction models Pure interaction models Protocol models

35 UML-style interaction diagram

36 Interaction-sequence diagram

37 Interaction-frame diagram

38 Protocol model

39 The Viewpoint Framework Viewpoint aspect Abstraction layer Interaction Information Behavior Analysis Role models and organization model Domain model Goal models Design Agent models, acquaintance model, and interaction models Knowledge model Scenarios and agent behaviour models Prototyping Interaction prototyping Information prototyping Behavior prototyping

40 Knowledge model Elaboration of the domain model Represents the knowledge that agents have about their environments and about themselves Can be viewed as an ontology providing a framework of knowledge for the agents of the problem domain

41 Concept for domain models Domain entity

42 What is domain entity? A modular unit of knowledge handled by a sociotechnical system Examples

43 Domain model Domain model represents the knowledge within the system that the system is supposed to handle A domain model consists of domain entities and relationships between them. A domain entity is? A domain model relates domain entities to roles

44 Domain model for fair grocery shopping (1) SHOPPING BASKET Creates Is based on FUEL COST Considers Considers SHOPPING LIST Is based on Assistant Considers Considers STORE LOCATION PRODUCT INFORMATION

45 Domain model for fair grocery shopping (2)

46 Knowledge model for fair grocery shopping 1 PRODUCT INFORMATION 1 1 PRODUCT * STORE INFORMATION * * * Knows about * 1 * Knows about 1 Coordinator Agent SHOPPING BASKET * * Consists of 1 1 Is based on ROUTE 1 * Knows about Calculates 1 1 Creates 1 1 ShopBot Knows about Is based on * 1 SHOPPING LIST * Knows about 1 Human Agent

47 Domain model for smart parking Negotiates PARKING PREFERENCES Knows Knows DESTINATION Parking Assistant Asks about PARKING STATUS Informs Recommends PARKING SPOT Informs CHARGE PARKING SPOT Consist of PARKING RESOURCES Knows Parking Service Provider

48 Knowledge model for smart parking? Negotiates PARKING PREFERENCES Knows Knows DESTINATION Parking Assistant Asks about PARKING STATUS Informs Recommends PARKING SPOT Informs CHARGE PARKING SPOT Consist of PARKING RESOURCES Knows Parking Service Provider

49 The Viewpoint Framework Viewpoint aspect Abstraction layer Interaction Information Behavior Analysis Role models and organization model Domain model Goal models Design Agent models, acquaintance model, and interaction models Knowledge model Scenarios and agent behaviour models Prototyping Interaction prototyping Information prototyping Behavior prototyping

50 Agent behaviour models An agent behaviour model addresses what an individual agent of a given type does

51 Agent behaviour model 1

52 Agent behaviour model 2

53 Today Introductory workshop to CPN Tools

54 Next time On 16 March 2016: Lecture Agent Architectures, Prof Kuldar Taveter Workshop: Transformation of AOM for STS to CPN Tools and Simulation