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HAMHAM
Human Agent cognitive Modeling
Cognitive Modeling of an abstract human agent for Human-
Machine Systems and from the perspective of the development
of Intelligent Decision Support Systems and Cognitive Interfaces.
Collaborazione Scientifica ENEA-ECONA
1999 - 2001
Responsible persons:
Dr. Adam Maria Gadomski, ENEA,
Prof.Marta Olivetti-Belardinelli, ECONA, Univ. La Sapienza,Roma
CR Casaccia,
28 May 2001
Collaborazione Scientifica
ENEA-ECONA
ECONA is an inter-university and cross-disciplinary
center providing teaching staff and researchers in which
participate 12 Italian universities.
It is focused on the studies of cognitive processes and
collaborates on research projects and their practical applications.
ECONAECONA
IInteruniversity Center for Research onnteruniversity Center for Research on
Cognitive Processing in NaturaCognitive Processing in Naturall andand
Artificial SystemsArtificial Systems
ECONAECONA
ECONA collaborates with research projects (including projects
financed by MURST, CNR, the EEC and the European Science
Foundation) and covers the following areas:
Psychology of cognitive processes
Mental process models
Neural networks
Non-linear dynamic behaviour
Natural language processing
Logic, languages and methods in programming
Psychophysiology and neuropsychology
Pedagogic communication
Education with intelligent processor support
Probabilistic approaches to situations of uncertainty
Learning processes
Members of ECONA represent: psychology, filosophy, physics, computer
science, mathematics, engineering, medicine and organization sciences.
Scientific Research ProjectsScientific Research Projects
Collaborazione Scientifica
ENEA-ECONA
Long-term THEMATIC SCIENTIFIC RESEARCH
. . . .
RTD
Project
RTD
Project
RTD
Project
RTD
Project
Scientific Collaborations
Tutoring, Courses, Teaching
Innovation in Industry
Application
Oriented
Tool
Oriented
Human
Resources
Oriented
Research Project:Research Project: HAMHAM
Scientific Collaboration
ENEA-ECONA
Human Agent cognitive Modeling
≅ Modeling of Intelligent Cognitive
Systems
HAM
User Role
Modeling
Artificial
Decision-Makers
Human-
Computer
Collaboration
Identification of
Human behavior
Terminological context: AgentAgent
and Intelligent AgentIntelligent Agent
Collaborazione Scientifica
ENEA-ECONA
Agent?
!!!
Agents in the context of intelligent systems design
1. Agent confusion
2. Intelligence confusion
3. Cognitive confusions
Agent: a self-active entity with an
autonomy in tasks execution.
In different domains, agents have
many domain-dependent and
role-dependent properties, names
and … specific definitions.
Development of Intelligent Systems for Plant Management
Risk Management, Safety Assess.,Quality, Utility Functional Anal.,Task Analysis, Ergonomics,...
Software Technologies
SYSTEM
Engineering
AI & Cognitive Technologies
Image Processing
Technologies
Learning
TechnologiesPlanning
Technologies
Reasoning
Technologies
Neural Networks
Technologies
Fuzzy Sets
TechnologiesGenetic
Algorithms
. . .
Intelligent Systems
for Plant
Management
Rapid
Prototypingng
, UML, OOD,
Petra Nets,...
Software
Engineering
Intelligent
Agent
Modeling,
D-M models
Cognitive
Engineering
Object-Oriented
Programming
Agent-Oriented
Programming
. . .
Multimedia
Technologies
Programming Languages
& Environments
Meta-programmin
Knowledge Acquisition,
Knowledge
Representation,
Knowledge Processing
Knowledge.
Management
Knowledge
Engineering
Plant Architecture
Production Processes
Emergency on site
Emergency off site - Environmental
Context Components
Supervisory
Control
Domain Knowledge
Human organization
Personnel roles, cooperation
Business objectives
Social Context
Exploitation &
Emergency Procedures
Managerial Knowledge
© A.M.Gadomski, ENEA, 1999
Development of Intelligent Support for X-System Management
Risk Management, Safety Assess.,Quality, Utility Functional Anal.,Task Analysis, Ergonomics,...
Software Technologies
SYSTEM
Engineering
AI & Cognitive Technologies
Image Processing
Technologies
Learning
TechnologiesPlanning
Technologies
Reasoning
Technologies
Neural Networks
Technologies
Fuzzy Sets
Technologies
Genetic
Algorithms
. . .
Intelligent Systems
for X-System
Management
Rapid
Prototyping,
UML, OOD,
Petri Nets,...
Software
Engineering
Intelligent
Agent
Modeling,
D-M models
Cognitive
Engineering
Object-Oriented
Programming
Agent-Oriented
Programming
. . .
Multimedia
Technologies
Programming Languages
& Environments
Meta-programming
Knowledge Acquisition,
Knowledge
Representation,
Knowledge Processing
Knowledge Management
Knowledge
Engineering
X- Main goals & functions
X-Processes
X- Environmental context & impacts
Components
Supervisory,
observability Control
X-System Domain-Knowledge
Human organization
Personel roles, cooperation
Business objectives
Social Context
Exploitation &
Emergency Procedures
Managerial Knowledge
© A.M.Gadomski, ENEA, 1999
X- Architecture
HAM in deepHAM in deepCollaborazione Scientifica
ENEA-ECONA
Is it really multi-agent
system ??
?
Is it an
intelligen
t human
agent??
Collaboration Goal: research and development of
the symbolic model of an abstract intelligent
cognitive system that could be applicable for
description of human goal-oriented behavior and
for the design of intelligent software units.
Innitial paradigms/hipothesis:
Cognitive intelligence is independent on agent’s
specific knowledge, role, preferences and available
information.
The approach follows systemic, physics and goal-
oriented paradigms.
Collaboration Method: Exchange of experience,
common publications, seminars, student thesis in
ENEA, and preparation of a proposal in the subject
matter of the EU project.
Current results 
Power of Theory Turing and others
proposed mathematical models for
computing. This abstraction was
invaluable in the study of computer
science. ...
The immense value of the Turing machine
is that when examining what sort of
problems can be solved by a computer,
one need only to examine a Turing
machine, and not one of the millions of
potential computing devices to determine
if a computation is possible.
HAM ResultsCollaborazione Scientifica
ENEA-ECONA
Workshop: Attivita' di Ricerca sulla Modellizzazione Cognitiva, Rome, 20
May 1999. Intelligent  Decision  Support  System: TOGA  
Cognitive  Agent. Adam M.Gadomski, Franco Pestilli,
Valentini Day Workshop, Inaugurazione dell'Anno Accademico 1999/2000,
Rome, 22/10/99.
Approccio  alla  modellizzazione  dei  processi  cognitivi:  rapporti  tra 
Psicologia  e  Scienze  dell’Artificiale F. Pestilli, A.M.Gadomski,
M.Olivetti-Belardinelli.
ICSC International Conference on Spatial Cognition: Scientific Research
and Application, Rome, December 14-16, 2000. Route Spatial
Representation of Decisional Problems: Application of
TOGA Framework to the Modeling of Cognitive Agent. F.
PESTILLI, A.M. GADOMSKI, M. OLIVETTI BELARDINELLI
Student Thesis: Modellazione Cognitiva: IPK Cognitive Agent. F.
Pestilli. Relatore: Prof.M.Olivetti-Belardinelli, ENEA’s Tutor:
A.M.Gadomski, 7 Dec. 2000.
1. La pubblicazione dell’Abstract del Poster-Demo Route Spatial 
Representation of Decisional Problems: Application of TOGA 
Framework to the Modeling of Cognitive Agent (Frank. IPK 
Cognitive Agent Prototype n° 0.1) nel Cognitive Processing
International Quarterly of Cognitive Science, N.3, 2000




ENEA- TISGI WebENEA- TISGI Web
ResearchResearch
ENEA’s Cognitive and
Intelligent Agent Research
Search Result: web pages for "software agent","intelligent agent"
LYCOS - 1144 - 9, 13
Google - 1850 - 5
Yahoo - 772 - 5
HOT BOT - 1500 - 27
Alta Vista 33254 – 55
------------------------
Searched the web for “cognitive intelligent agent”
Copernic multi-engine - 35 best pages: 20, 29
Searched the web for "cognitive agent"
Google : 1350 - 3, 4, 7
Alta Vista : 846 - 13, 14
Lycos - 830 - 6,7,9
Searched the web for: "Intelligent Decision Support Systems":
Google: 1330 - 1,2,3,
Alta Vista 477 - 2,3,4

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Ham 2001-1a

  • 1. HAMHAM Human Agent cognitive Modeling Cognitive Modeling of an abstract human agent for Human- Machine Systems and from the perspective of the development of Intelligent Decision Support Systems and Cognitive Interfaces. Collaborazione Scientifica ENEA-ECONA 1999 - 2001 Responsible persons: Dr. Adam Maria Gadomski, ENEA, Prof.Marta Olivetti-Belardinelli, ECONA, Univ. La Sapienza,Roma CR Casaccia, 28 May 2001
  • 2. Collaborazione Scientifica ENEA-ECONA ECONA is an inter-university and cross-disciplinary center providing teaching staff and researchers in which participate 12 Italian universities. It is focused on the studies of cognitive processes and collaborates on research projects and their practical applications. ECONAECONA IInteruniversity Center for Research onnteruniversity Center for Research on Cognitive Processing in NaturaCognitive Processing in Naturall andand Artificial SystemsArtificial Systems
  • 3. ECONAECONA ECONA collaborates with research projects (including projects financed by MURST, CNR, the EEC and the European Science Foundation) and covers the following areas: Psychology of cognitive processes Mental process models Neural networks Non-linear dynamic behaviour Natural language processing Logic, languages and methods in programming Psychophysiology and neuropsychology Pedagogic communication Education with intelligent processor support Probabilistic approaches to situations of uncertainty Learning processes Members of ECONA represent: psychology, filosophy, physics, computer science, mathematics, engineering, medicine and organization sciences.
  • 4. Scientific Research ProjectsScientific Research Projects Collaborazione Scientifica ENEA-ECONA Long-term THEMATIC SCIENTIFIC RESEARCH . . . . RTD Project RTD Project RTD Project RTD Project Scientific Collaborations Tutoring, Courses, Teaching Innovation in Industry Application Oriented Tool Oriented Human Resources Oriented
  • 5. Research Project:Research Project: HAMHAM Scientific Collaboration ENEA-ECONA Human Agent cognitive Modeling ≅ Modeling of Intelligent Cognitive Systems HAM User Role Modeling Artificial Decision-Makers Human- Computer Collaboration Identification of Human behavior
  • 6. Terminological context: AgentAgent and Intelligent AgentIntelligent Agent Collaborazione Scientifica ENEA-ECONA Agent? !!! Agents in the context of intelligent systems design 1. Agent confusion 2. Intelligence confusion 3. Cognitive confusions Agent: a self-active entity with an autonomy in tasks execution. In different domains, agents have many domain-dependent and role-dependent properties, names and … specific definitions.
  • 7. Development of Intelligent Systems for Plant Management Risk Management, Safety Assess.,Quality, Utility Functional Anal.,Task Analysis, Ergonomics,... Software Technologies SYSTEM Engineering AI & Cognitive Technologies Image Processing Technologies Learning TechnologiesPlanning Technologies Reasoning Technologies Neural Networks Technologies Fuzzy Sets TechnologiesGenetic Algorithms . . . Intelligent Systems for Plant Management Rapid Prototypingng , UML, OOD, Petra Nets,... Software Engineering Intelligent Agent Modeling, D-M models Cognitive Engineering Object-Oriented Programming Agent-Oriented Programming . . . Multimedia Technologies Programming Languages & Environments Meta-programmin Knowledge Acquisition, Knowledge Representation, Knowledge Processing Knowledge. Management Knowledge Engineering Plant Architecture Production Processes Emergency on site Emergency off site - Environmental Context Components Supervisory Control Domain Knowledge Human organization Personnel roles, cooperation Business objectives Social Context Exploitation & Emergency Procedures Managerial Knowledge © A.M.Gadomski, ENEA, 1999
  • 8. Development of Intelligent Support for X-System Management Risk Management, Safety Assess.,Quality, Utility Functional Anal.,Task Analysis, Ergonomics,... Software Technologies SYSTEM Engineering AI & Cognitive Technologies Image Processing Technologies Learning TechnologiesPlanning Technologies Reasoning Technologies Neural Networks Technologies Fuzzy Sets Technologies Genetic Algorithms . . . Intelligent Systems for X-System Management Rapid Prototyping, UML, OOD, Petri Nets,... Software Engineering Intelligent Agent Modeling, D-M models Cognitive Engineering Object-Oriented Programming Agent-Oriented Programming . . . Multimedia Technologies Programming Languages & Environments Meta-programming Knowledge Acquisition, Knowledge Representation, Knowledge Processing Knowledge Management Knowledge Engineering X- Main goals & functions X-Processes X- Environmental context & impacts Components Supervisory, observability Control X-System Domain-Knowledge Human organization Personel roles, cooperation Business objectives Social Context Exploitation & Emergency Procedures Managerial Knowledge © A.M.Gadomski, ENEA, 1999 X- Architecture
  • 9. HAM in deepHAM in deepCollaborazione Scientifica ENEA-ECONA Is it really multi-agent system ?? ? Is it an intelligen t human agent?? Collaboration Goal: research and development of the symbolic model of an abstract intelligent cognitive system that could be applicable for description of human goal-oriented behavior and for the design of intelligent software units. Innitial paradigms/hipothesis: Cognitive intelligence is independent on agent’s specific knowledge, role, preferences and available information. The approach follows systemic, physics and goal- oriented paradigms. Collaboration Method: Exchange of experience, common publications, seminars, student thesis in ENEA, and preparation of a proposal in the subject matter of the EU project. Current results  Power of Theory Turing and others proposed mathematical models for computing. This abstraction was invaluable in the study of computer science. ... The immense value of the Turing machine is that when examining what sort of problems can be solved by a computer, one need only to examine a Turing machine, and not one of the millions of potential computing devices to determine if a computation is possible.
  • 10. HAM ResultsCollaborazione Scientifica ENEA-ECONA Workshop: Attivita' di Ricerca sulla Modellizzazione Cognitiva, Rome, 20 May 1999. Intelligent  Decision  Support  System: TOGA   Cognitive  Agent. Adam M.Gadomski, Franco Pestilli, Valentini Day Workshop, Inaugurazione dell'Anno Accademico 1999/2000, Rome, 22/10/99. Approccio  alla  modellizzazione  dei  processi  cognitivi:  rapporti  tra  Psicologia  e  Scienze  dell’Artificiale F. Pestilli, A.M.Gadomski, M.Olivetti-Belardinelli. ICSC International Conference on Spatial Cognition: Scientific Research and Application, Rome, December 14-16, 2000. Route Spatial Representation of Decisional Problems: Application of TOGA Framework to the Modeling of Cognitive Agent. F. PESTILLI, A.M. GADOMSKI, M. OLIVETTI BELARDINELLI Student Thesis: Modellazione Cognitiva: IPK Cognitive Agent. F. Pestilli. Relatore: Prof.M.Olivetti-Belardinelli, ENEA’s Tutor: A.M.Gadomski, 7 Dec. 2000. 1. La pubblicazione dell’Abstract del Poster-Demo Route Spatial  Representation of Decisional Problems: Application of TOGA  Framework to the Modeling of Cognitive Agent (Frank. IPK  Cognitive Agent Prototype n° 0.1) nel Cognitive Processing International Quarterly of Cognitive Science, N.3, 2000    
  • 11. ENEA- TISGI WebENEA- TISGI Web ResearchResearch ENEA’s Cognitive and Intelligent Agent Research Search Result: web pages for "software agent","intelligent agent" LYCOS - 1144 - 9, 13 Google - 1850 - 5 Yahoo - 772 - 5 HOT BOT - 1500 - 27 Alta Vista 33254 – 55 ------------------------ Searched the web for “cognitive intelligent agent” Copernic multi-engine - 35 best pages: 20, 29 Searched the web for "cognitive agent" Google : 1350 - 3, 4, 7 Alta Vista : 846 - 13, 14 Lycos - 830 - 6,7,9 Searched the web for: "Intelligent Decision Support Systems": Google: 1330 - 1,2,3, Alta Vista 477 - 2,3,4