1 / 18

DARE Extended Architecture applied to a Multi-Agent World

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. Double Sensorial Processing (Joseph Ledoux)

wesley-doyle
Download Presentation

DARE Extended Architecture applied to a Multi-Agent World

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

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

  2. DARE* Architecture • Somatic Marker Theory(António Damásio) • Decision as result of scenario anticipation based on past experience associated with body states that qualify them. • 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; * Desenvolvimento de Agentes Robóticos Emocionais.

  3. 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

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

  5. Multi-Agent World - Market Product Examples Agents Expressions Interface

  6. Body or Internal State • Agents Body or Internal State: Internal State at instant t Ideal Internal State Unbalance at instant t

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

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

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

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

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

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

  13. Symbolic Layer • Maps features and symbols: • Descriptive symbols (set of features) • Identifier symbols (name of a set of descriptive symbols) • Syntactic knowledge about messages. • Ontology • 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

  14. 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

  15. Symbolic Layer - Results

  16. Symbolic Layer - Results

  17. 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.

  18. Conclusion and Future Work In the application of DARE architecture to a multi-agent world: • 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. • 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

More Related