PIMRC 2008 Ubiquitous Service Workshop 15/09/2008 Context Aware PAA Multi-Agent System (CAPMAS)

2. PIMRC 2008 Ubiquitous Service Workshop 15/09/2008 Context Aware PAA Multi-Agent System (CAPMAS) Mr. Stan Wing S. Wong Centre for Telecommunications Research, King’s College London

3. Agenda • Introduction • Context Operational Definition • Basic of Agent Technology • Personal Assistant Agent (PAA) • Context-Aware Multi-Agent System in PAA • Context-Aware PAA Multi-Agent Paradigm • Conclusion & Future Work

4. Introduction • Aim • How Context-Aware PAA Multi-Agent System (CAPMAS) framework conveys context-aware computing and agent technologies into ubiquitous system. • Objective • Personal Assistant Agent (PAA) simultaneously observes, senses and monitors the user behaviour, experience and surrounding environment, and learn from user behaviour.

5. Introduction

6. Introduction • Context is a unique and powerful concept in Human Computer Interaction (HCI) • Amplify human activities with new applications and • services. • Explicit acts of communication while the context • awareness behaves implicitly. • Context is the gateway to the universe of development of services creation in ubiquitous system.

7. Context Operational Definitions • “Context is any information that can be used to characterize the situation of an entity. An entity is a person, place, or object that is considered relevant to the interaction between a user and an application, including the user and applications themselves.” “Context is not simply the state of a predefined environment with a fixed set of interaction resources. It’s part of a process of interacting with an ever-changingenvironment composed of re-configurable, migratory, distributed, and multi-scale resources.” Anind K. Dey, Gregory D. Abowd and Daniel Salber, “A Conceptual Framework and a Toolkit for Supporting the Rapid Prototyping of Context-Aware Applications” Human-Computing Interaction, Vol. 16, No. 2-4, pages. 97-166. Joëlle Coutaz, James L. Crowley, Simon Dobson, David Garlan, “Context is key” Communications of the ACM, Vol. 48, Issues 3, March 2005 pages 49 – 53.

8. Agent & Environment Basic agent technology concept • Agent takes sensory input from the environment and give output actions.

9. Personal Assistant Agents Basic functions • Automate repetitive decision making by reasoning and making decisions on behalf of users. • Learn from users behaviour, their interests and preferences in order to provide personalised services.

10. Personal Assistant Agent PAA collaborates with user environment and applications • Complexity tasks • Performing tasks • Monitoring events • Making decisions on behalf of the user

11. How to Link • Agent Technologies • & • Context Awareness • in Ubiquitous System? = X

12. CAPMAS & Context Space Environment CAPMAS is interconnected to our living environment and interact with any context aware entities in its surrounding and remote environments. Basic Capability • to locate context information seeming patterns, • to predict the user activity, • to collect personalise contents automatically • delivery service to user silently.

13. Context-Aware PAA Multi-Agent System (CAPMAS) • Delegation Agent (DA) • Communication Agent (CA) • Rational Agent (RA) • Context Management Agent (CMA) • Context Information Filtering, Storing and Retrieval Agent • (CIFSRA)

14. Delegation Agent (DA) • Auto-configurability of PAA Personality • Re-configurability of PAA Personality • (.e.g., Residential Personal Assistant, car and office assistants) Context-Aware PAA Multi-Agent System (CAPMAS) Delegation Agent (DA) Auto-configurability Personality Re-configurability Personality

15. Communication Agent (CA) • Signalling Protocol • Negotiation and Renegotiation • Creating and Modifying Context Session Context-Aware PAA Multi-Agent System (CAPMAS) Delegation Agent (DA) Auto-configurability Personality Re-configurability Personality Communication Agent (CA) Understanding Context Ontology Signalling Protocol

16. Rational Agent (RA) • Integrates logical reasoning, fuzzy reasoning • Optimizes an appropriate performance measures Context-Aware PAA Multi-Agent System (CAPMAS) Delegation Agent (DA) Auto-configurability Personality Re-configurability Personality Rational Agent (RA) Communication Agent (CA) Logical Reasoning Fuzzy Reasoning Understanding Context Ontology Signalling Protocol Semantic Rule Representation

17. Context Management Agent (CMA) • Monitoring the Quality of Context (QoC) • Managing the Context Environment Resource Context-Aware PAA Multi-Agent System (CAPMAS) Delegation Agent (DA) Auto-configurability Personality Re-configurability Personality Context Management Agent (CMA) Quality of Context Context Ontology Context Actuation Context Monitoring Rational Agent (RA) Communication Agent (CA) Logical Reasoning Fuzzy Reasoning Understanding Context Ontology Signalling Protocol Semantic Rule Representation

18. Context Information Filtering, Storing and Retrieval Agent(CIFSRA) • Finding the temporary repository space in user’s personal area network. Context-Aware PAA Multi-Agent System (CAPMAS) Delegation Agent (DA) Context Information Filtering, Storing and Retrieval Agent (CIFSRA) Auto-configurability Personality Bayesian Filtering Information Retrieval Techniques Re-configurability Personality Auto-configurability Personality Context Management Agent (CMA) Quality of Context Context Ontology Context Actuation Context Monitoring Rational Agent (RA) Communication Agent (CA) Logical Reasoning Fuzzy Reasoning Understanding Context Ontology Signalling Protocol Semantic Rule Representation

19. Conclusion & Future Works • The importance of context operational definitions and personal assistant agents as an enabling technology for the personalisation of ubiquitous services. • A multi-agent system framework was presented to use on the enabling technologies for simultaneously observing, sensing and monitoring the user behaviour, experience and surrounding environment, and learning from user behaviour. • Helps the developer to have a clear view during the development of the personalisation service under the ubiquitous context awareness environment. • Future Works • We are planning to continue developing CAPMAS’s ability to processing semantic digital information, making a ubiquitous services system cope with user’s behaviours. • A personality agent theory and design documentation with sequencing protocols which are based on unified modelling language (UML).

20. Thank you ! For further information please contact: Mr Stan Wing S. Wong E-mail: wing.s.wong@kcl.ac.uk Tel: +44 207 848 2889 WWW: www.ctr.kcl.ac.uk