DARE Extended Architecture applied to a Multi-Agent World Márcia Maçãs.

Slides:



Advertisements
Similar presentations
An Adaptive Affective Social Decision Making Model Alexei Sharpanskykh Jan Treur vrije Universiteit amsterdam.
Advertisements

Pat Langley School of Computing and Informatics Arizona State University Tempe, Arizona USA Modeling Social Cognition in a Unified Cognitive Architecture.
Hard or Soft: Does it matter? Michael Lyons Manager, Strategic Analysis and Research.
14 de Fevereiro de 2004, Instituto Sistemas e Robótica Emotion-Based Decision and Learning Bruno Damas.
Crystal and Hanz Learning: Principles and Applications Social Learning –Form of learning in which the organism observes and imitate the behavior of others.
ARCHITECTURES FOR ARTIFICIAL INTELLIGENCE SYSTEMS
Intelligent Architectures for Electronic Commerce Part 1.5: Symbolic Reasoning Agents.
Thought and Language (PS) Discuss with your partner. Someone leaves a beautiful puppy at your door. You don’t like animals, but you know it would.
Chapter 3 Learning and Memory
DIP vs DAP Question: What do these stand for?.
University of Minho School of Engineering Centre ALGORITMI Uma Escola a Reinventar o Futuro – Semana da Escola de Engenharia - 24 a 27 de Outubro de 2011.
Chapter 3 Learning and Memory
On knowing how to do things: a theory of motor imagery John Annett Cognitive Brain Research 3(1996) Presenter: Chu-Chun Cheng Advisor: Ru-Jung Cherng.
Yiannis Demiris and Anthony Dearden By James Gilbert.
To what extent do biological and cognitive factors interact?
Faculty of Management and Organization Emergence of social constructs and organizational behaviour How cognitive modelling enriches social simulation Martin.
Emotion-based Agents: putting the puzzle together Rodrigo Ventura Institute for Systems and.
SOCIAL COGNITION 1970s, label ‘social cognition’ (arises out of earlier work on attitudes, attribution, person perception) ‘…The social cognition approach.
Psyco 486 Learning and Behavioural Theory in Advertising and Marketing.
Information Modeling: The process and the required competencies of its participants Paul Frederiks Theo van der Weide.
Physical Symbol System Hypothesis
Usability and Evaluation Dov Te’eni. Figure ‎ 7-2: Attitudes, use, performance and satisfaction AttitudesUsePerformance Satisfaction Perceived usability.
Cognitive Psychology, 2 nd Ed. Chapter 8 Semantic Memory.
Is the amygdala a production system? Robert L. West Institute of Cognitive Science, Dept of Psychology Carleton University.
Chapter 6 Consumer Learning
Aligning developmental and educational diagnosis: Principles and implications Andreas Demetriou University of Nicosia, Cyprus Presented at the conference.
The Cognitive Perspective in Information Science Research Anthony Hughes Kristina Spurgin.
An Architecture for Empathic Agents. Abstract Architecture Planning + Coping Deliberated Actions Agent in the World Body Speech Facial expressions Effectors.
Artificial Intelligence Intro Agents
Psychology of Consumer Behaviour Lecture What we are observing with idea of behaviour of customer. -Find today customers personality and psychology.
 The most intelligent device - “Human Brain”.  The machine that revolutionized the whole world – “computer”.  Inefficiencies of the computer has lead.
Emotions: a computational semiotics perspective Rodrigo Gonçalves, Ricardo Gudwin, Fernando Gomide Electrical and Computer Engineering School (FEEC) State.
Interactive Spaces Huantian Cao Department of Computer Science The University of Georgia.
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,
Disturbed Behaviour in Co-operating Autonomous Robots Robert Ghanea-Hercock & David Barnes Salford University, England.
Social Nature Chapter 6.
13 th ICCRTS “C2 for Complex Endeavors” Title of Paper: Beyond Reactive Planning: Self Adaptive Software and Self Modeling Software in Predictive Deliberation.
© 2014 Cengage Learning. All Rights Reserved. May not be scanned, copied or duplicated, or posted to a publicly accessible website, in whole or in part.
Evaluation of Agent Building Tools and Implementation of a Prototype for Information Gathering Leif M. Koch University of Waterloo August 2001.
Chapter 7 Consumer Learning.  Marketers must teach consumers:  where to buy  how to use  how to maintain  how to dispose of products Importance of.
HOW CUSTOMERS THINK CHAPTER 2: A VOYAGE TO NEW FRONTIERS Presented by: Peter Atmali Michael Miyagishima.
New Bulgarian University MindRACES, First Review Meeting, Lund, 11/01/2006 Anticipation by Analogy An Attempt to Integrate Analogical Reasoning with Perception,
Autism Presented by : Hosein Hamdi. Autism manifests during the first three years of life Genetic factors play a significant and complex role in autism.
Emotional experience December 1, Emotional experience - introduction Subjective experience – not perception or expression ‘Qualia’ Consciousness.
Chapter 3 Human Resource Development
From Mind to Brain Machine The Architecture of Cognition David Davenport Computer Eng. Dept., Bilkent University, Ankara – Turkey.
Cognitive Modular Neural Architecture
Imagery A form of simulation. It is similar to a real sensory experience but the entire experience occurs in the mind.
U i Modleing SGOMS in ACT-R: Linking Macro- and Microcognition Lee Yong Ho.
PERCEPTION. WHO ARE YOU? HOW DO YOU SEE THINGS? Perception is the process of being aware of and understanding the world Form, challenge, and reinforce.
Chapter 7 Consumer Learning.
Consumer Learning CHAPTER SEVEN. A Simple Model of Consumer Decision Making Chapter One Slide2 Copyright 2010 Pearson Education, Inc.
Consumer Learning It is the cognitive process of acquiring skill and knowledge; learning is the acquisition and development of memories & behaviors, including.
Copyright © 2013, 2010, 2007 Pearson Education, Inc. All Rights Reserved.
第 25 章 Agent 体系结构. 2 Outline Three-Level Architectures Goal Arbitration The Triple-Tower Architecture Bootstrapping Additional Readings and Discussion.
The Process of Forming Perceptions SHMD219. Perception The ability to see, hear, or become aware of something through the senses. Perception is a series.
For Language Comprehension and Thinking By Nanci Bell.
1 Positioning Via Attributes: Non- Product- Related Usage Imagery.
CHAPTER NINE Learning, Memory, and Product Positioning McGraw-Hill/Irwin Copyright © 2004 by The McGraw-Hill Companies, Inc. All rights reserved.
 ISACsgXQ ISACsgXQ.
Service-Oriented Computing: Semantics, Processes, Agents
CEN3722 Human Computer Interaction Cognition and Perception
© James D. Skrentny from notes by C. Dyer, et. al.
Service-Oriented Computing: Semantics, Processes, Agents
Grade 6 Outdoor School Program Curriculum Map
Helps to classify educational learning objectives.
Service-Oriented Computing: Semantics, Processes, Agents
Attention and Comprehension
전문가 시스템(Expert Systems)
Attention and Comprehension
Presentation transcript:

DARE Extended Architecture applied to a Multi-Agent World Márcia Maçãs

DARE* Architecture Somatic Marker Theory (António Damásio) –Decision as result of scenario anticipation based on past experience associated with body states that qualify them. * Desenvolvimento de Agentes Robóticos Emocionais. Double Sensorial Processing (Joseph Ledoux) –Fast, simple and reactive processing –Slow, complex and informed processing Goal of DARE Extension: –Apply the architecture to a dynamic multi-agent world; –Obtain adequate individual and social behaviours;

New Concepts Sympathy –Human ability to recognise others emotions, acquired by self- awareness of their own emotions [Goleman, 1996]. –Evaluate others and predict their reactions based on a mental model which relates physical expressions with feelings and intentions, acquired by own experience or by observation. Non Verbal Communication –Emotional Expression Implicit Involuntary Informative Verbal Communication

Extended DARE Architecture Agent Stimuli World Action Effects Perceptual Analysis Symbolic AnalysisCognitive Analysis Built-in Features and Meanings Memory Body

Multi-Agent World - Market Product Examples Agents Expressions Interface

Body or Internal State Agents Body or Internal State: Internal State at instant t Ideal Internal State Unbalance at instant t

Perceptual Analysis Perceptual Layer Extraction of Relevant Features Ip Perceptual Evaluation DVp Action Selection Action Effects Stimuli World Body Built-in Features and Meanings - Weights relate colours and nutrients - Ip and current Internal State qualify stimuli - DVp Best Dv - Incentive Stimulus Reactive Selection given Ip, DVp e IS

Perceptual Layer Action Effects All data is stored in memory, including: The action effects on Internal State are used to adapt (temporarily or not) the meaning functions from which results the DVp.

Perceptual Layer - Results 20 Simulations, 500 cycles of 5 seconds Number of Internal State Changes Mean of Maximum Unbalance

Conditioned Execution Cognitive Layer Cognitive Analysis Feature Extraction Ic Cognitive Evaluation Actions & Body Action Selection Action Effects Stimuli World BodyMemory DVp intervals that reveal urgency: Stimulus x IS Search in memory for the best action to execute given the current IS and past effects. -Memory structure – Sequences -Selection of action belonging to matched sequence which minimizes the unbalance in the end.

Results 20 Simulations, 500 cycles of 5 seconds Number of Internal State Changes Mean of Maximum Unbalance

Conditioned Execution Symbolic Layer Symbolic Analysis Feature Extraction Is Symbolic Evaluation Actions & Body Action Selection Action Stimuli World BodyMemory Action Effects

Ontology Maps features and symbols: Descriptive symbols (set of features) Identifier symbols (name of a set of descriptive symbols) Syntactic knowledge about messages. Symbolic Layer Expanded Internal State Elements not directly related to survival Internal Representation of the Agent itself Necessary for sympathy and non-verbal communication There is an image of itself on each layer

Symbolic Layer Symbolic Evaluation and Action Selection –Specific Actions in this Layer: Communication. –Memory includes Symbolic information Expanded Internal State –Sequences include: Own experience Other agents observed experience –Dialogs that end with expression change –Action is executed if belongs to sequence with an ending expression similar to the ideal one

Symbolic Layer - Results

Order Long term goals and cooperation Ask for product If supplier has good recall of the product sympathises and starts negotiation. Supplier assumes a fictitious internal state identical to the past and searches the product. Symbolic Layer - Results

Conclusion and Future Work The adaptation on the perceptual layer allows a best performance of the overall architecture; The cognitive layer allows flexible behaviour and more accurate learning; The symbolic layer allows communication and the emergence of cooperation/concurrence behaviours. In the application of DARE architecture to a multi-agent world: Future Work Long term anticipation of the internal state. Inference mechanisms triggered by internal stimuli. Learning of Expression-Internal state relation. Improvements on memory managing