Agents in Design A course in developing cognitive agents for objects in virtual worlds.

Slides:



Advertisements
Similar presentations
9 x9 81 4/12/2015 Know Your Facts!. 9 x2 18 4/12/2015 Know Your Facts!
Advertisements

1 x0 0 4/15/2015 Know Your Facts!. 9 x1 9 4/15/2015 Know Your Facts!
1 x0 0 4/16/2015 Know Your Facts!. 1 x8 8 4/16/2015 Know Your Facts!
3 x0 0 7/18/2015 Know Your Facts!. 4 x3 12 7/18/2015 Know Your Facts!
SPECIFYING MODALITIES IN THE MGLAIR ARCHITECTURE Stuart C. Shapiro and Jonathan P. Bona Department of Computer Science and Engineering And Center for Cognitive.
Agents in the previous examples Agents are just 3D objects in virtual worlds Agents are not independent thread. No agent architecture. ……
Two Research Methods in Design Computing Mary Lou Maher May 2003.
What is navigation? Navigation is the cognitive process of acquiring knowledge about a space, strategies for moving through space, and changing one’s metaknowledge.
The GLAIR Architecture for Cognitive Robotics Stuart C. Shapiro Department of Computer Science & Engineering and Center for Cognitive Science.
An Agent Approach to Data Sharing in Virtual Worlds and CAD Mary Lou Maher, Pak-San Liew, John S Gero Key Centre of Design Computing and Cognition, University.
AGENT SOCIETIES Agent Societies Fall 2002 ? environment percepts actions sensors effectors agent Single  Multiple Agents.
AGENT MODELS. John Gero Agents – Agent Models ? environment percepts actions sensors effectors agent.
Intelligent Agents: an Overview. 2 Definitions Rational behavior: to achieve a goal minimizing the cost and maximizing the satisfaction. Rational agent:
Design and Decision Support Systems in Architecture, Building and Planning Human Behaviour Simulation B. de Vries.
For Wednesday Read chapter 3, sections 1-4 Homework: –Chapter 2, exercise 4 –Explain your answers (Identify any assumptions you make. Where you think there’s.
ENGGEN 199 Language enrichment for first-year engineering students.
INTRODUCTION TO ARTIFICIAL INTELLIGENCE Massimo Poesio Intelligent agents.
Faculty of Electronics and Information Technology Basic Facts. Warsaw University of Technology Faculty of Electronics & Information Technology.
FITNESS IN COMPUTER EDUCATION. DISTANT EDUCATION.
Introduction to AI. H.Feili, 1 Introduction to Artificial Intelligence LECTURE 2: Intelligent Agents What is an intelligent agent?
Situated Design of Virtual Worlds Using Rational Agents Mary Lou Maher and Ning Gu Key Centre of Design Computing and Cognition University of Sydney.
SWARM INTELLIGENCE Sumesh Kannan Roll No 18. Introduction  Swarm intelligence (SI) is an artificial intelligence technique based around the study of.
4 x1 4 10/18/2015 Know Your Facts!. 5 x /18/2015 Know Your Facts!
3 x0 0 10/18/2015 Know Your Facts!. 11 x /18/2015 Know Your Facts!
Key Centre of Design Computing and Cognition – University of Sydney Concept Formation in a Design Optimization Tool Wei Peng and John S. Gero 7, July,
Knowledge Engineering Applying Rule-based Expert System to Develop an Intelligent Collaborative Design Platform Professor: Dr Amy J.C. Professor: Dr Amy.
UI Lab. 류 현 정 Ecological Interface Design: Progress and challenges Kim J. Vicente, University of Toronto.
Task-oriented approach to information handling support within web-based education Lora M. Aroyo 15 November 2001.
SEMANTIC AGENT SYSTEMS Towards a Reference Architecture for Semantic Agent Systems Applied to Symposium Planning Usman Ali.
Amy Jester Kathleen Kobin Erika Gentry EDUC 318 March 10, 2008
Introduction of Intelligent Agents
ICT Today´s lecture 14:15Agent Technologies by Ismar Slomic 15:15 Practical Architecture Work at Telenor by Jan Øyvind Aagedal 16:15 Group exercise is.
Feng Zhiyong Tianjin University Fall  An agent is anything that can be viewed as perceiving its environment through sensors and acting upon that.
Chapter 2 Agents. Intelligent Agents An agent is anything that can be viewed as perceiving its environment through sensors and acting upon that environment.
Self Regulation presentation Submitted To Submitted By.
Mary Lou Maher MIT Fall 2002 Production Systems for Rational Agents Agent-Based Virtual Worlds.
Course Evaluations not Research From HRPP. What is Research? Research is a systemic investigation designed to develop or contribute to “generalizable.
Lecture 2: Intelligent Agents Heshaam Faili University of Tehran What is an intelligent agent? Structure of intelligent agents Environments.
1 A Study of Educator Workload in Problem-based Learning Dr. Akcell Chiang Tungnan University in Taiwan This research studies the educator workload in.
Intelligent Agents Chapter 2. How do you design an intelligent agent? Definition: An intelligent agent perceives its environment via sensors and acts.
Self-Leadership chp 1 The Journey. Look into the mirror Self-Leadership: The leadership we exercise over ourselves If we ever hope to become leaders of.
The Agent and Environment Presented By:sadaf Gulfam Roll No:15156 Section: E.
Done by Fazlun Satya Saradhi. INTRODUCTION The main concept is to use different types of agent models which would help create a better dynamic and adaptive.
IT 242 Week 9 Capstone DQ To purchase this material link 242-Week-9-Capstone-DQ For more courses visit our website.
Managing The Internet of Things
CLIL
Do software agents know what they talk about?
Conception de modèles pour la simulation
Academic English for Education
Intelligent Agents Chapter 2.
Intelligent (mostly) Agents
Mental Representations:
هوش مصنوعي فصل دوم عاملهاي هوشمند.
هوش مصنوعي فصل دوم عاملهاي هوشمند.
Knowledge Based Workflow Building Architecture
Sequences COURSE 3 LESSON 12-1
An Integrated Theory of the Mind
AGENT MODELS.
Learn Your 2x Facts.
Суури мэдлэг Basic Knowledge
Subsuption Architecture
Presented By : Virtual Office CanberraVirtual Office Canberra.
Mental Representations:
The smallest measuring lines on this tool show a jump of ______________ This measuring tool is precise to the ________ column Our rule for writing.
N.Negrello I.T.I. Malignani - Udine
Institute for Intelligent Systems
Biography Tells about a real person’s life.
Presentation transcript:

Agents in Design A course in developing cognitive agents for objects in virtual worlds

Object Modelling: select a 3D model and add behaviours

? environment percepts actions sensors effectors agent

What the world is like now Condition-action rules What action I should do now Agent Sensors Effectors Environment

Agent Model Perception Conception Hypothesizer Action Sensors Effectors The World

Agents as a Production System Facts Perception Conception Hypothesizer Action Controller Sensors Effectors

Tasks and Submissions Submission 1: Personal office designed in the Active Worlds virtual world platform. Submission 2: Agent rules for sensation, perception, conception, hypothesiser and action activation written in English. Submission 3: Agent rules and knowledge base written in Jess and linked to Active Worlds. Submission 4: Report on agent-based virtual architecture