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Agents and Artificial Intelligence - International Conference, ICAART 2009, Porto, Portugal, January 19-21, 2009. Revised Selected Papers
of: Joaquim Filipe, Ana Fred, Bernadette Sharp
Springer-Verlag, 2010
ISBN: 9783642118197 , 302 Pages
Format: PDF, Read online
Copy protection: DRM
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Agents and Artificial Intelligence - International Conference, ICAART 2009, Porto, Portugal, January 19-21, 2009. Revised Selected Papers
Preface
5
Organization
6
Table of Contents
9
Invited Speakers
11
Past, Present and Future of Ambient Intelligence and Smart Environments
12
The Past
12
The Present
13
Definition
14
A Multi-disciplinary Area
14
Basic Architecture
14
Applications
18
Social Implications
19
The Future
20
Emotional and Social Intelligence
20
Scaling Up from One to Many Users
21
User Acceptance!
21
Conclusions
21
References
22
Part I: Artificial Intelligence
25
Modelling Social Learning of Adolescence-Limited Criminal Behaviour
26
Introduction
26
Social Learning
27
Modelling Approach
27
Simulation Model
30
Simulation Results
32
Formal Analysis
35
Related Work
36
Conclusions
38
References
38
How Do Emotions Induce Dominant Learners’ Mental States Predicted from Their Brainwaves?
40
Introduction
40
Brainwaves and Electroencephalogram
41
Picture Categories in the International Affective Picture System
42
Experiment Description
43
Data Treatment
44
Prediction Results
46
Implementation
48
Conclusions
48
References
49
A Multiagent Semantics for the Game Description Language
51
Introduction
51
Multiagent Environments
52
Axiomatizing Multiagent Environments as Game Descriptions
54
General GDL Syntax
54
GDL Keywords
56
Multiagent Environments in GDL
57
A Multiagent Semantics for GDL
59
Discussion
60
References
61
Verifying Context-Dependent Reduction Relations for Knowledge Specifications
63
Introduction
63
Some of Main Issues
64
Context-Dependent Reduction Relations
66
Case Study
70
Implementation
74
Discussion
75
References
76
Combining Artificial Intelligence Techniques for the Training of Power System Control Centre Operators
77
Introduction
77
Why Operators' Task Is So Demanding?
78
DiagTutor
80
Reasoning about Operator Answers
80
Adapting the Curriculum to the Operator
81
Difficulty Level Selection
82
Problem Type Adequacy to the Trainee Cognitive Status
83
CoopTutor
84
Restoration Training Issues
84
Trainees Model
85
The Cooperative Learning Environment
87
Conclusions
88
References
89
Adaptive State Space Abstraction Using Neuroevolution
91
Introduction
91
Background
92
Neuroevolution
92
NEAT
93
RL-SANE
93
Experiments
96
Mountain Car
96
Double Inverted Pendulum Balancing
98
Changing the Size of State Bounds
98
NEAT Comparison
99
Future Work
100
State Bounding
100
RL-SANE Scaling
101
Conclusion
102
References
102
Goal-Based Game Tree Search for Complex Domains
104
Introduction
104
Challenges
105
Goal-based Game-Tree Search
106
Domain
106
Simultaneous Moves
106
Goals
106
Algorithm Description
107
Game Playing
108
Opponent Models
109
Experiments
109
Example Game
110
Search Reduction
111
Loss of Accuracy
112
Scalability
112
Related Work
114
Conclusions
114
References
115
Generating Incomplete Data with DataZapper
117
Introduction
117
Absent Data Mechanisms
120
Scripting DataZapper
121
Technical Details
122
Data Format
122
DataZapper Operation
123
Application
127
Conclusions
129
References
129
Extending Learning Vector Quantization for Classifying Data with Categorical Values
131
Introduction
131
Related Work
132
Data Type and Distance Measurement
132
SOM Neural Networks
133
LVQ Neural Networks
133
BNCLVQ: A Batch LVQ Algorithm for Numeric and Categorical Data
134
Incremental Learning Rules
134
Algorithm Description
135
Empirical Analysis
136
Data Sets
136
Experimental Results
137
Comparative Studies
140
Conclusions
141
References
142
Action Knowledge Acquisition with Opmaker2
144
Introduction
144
The Opmaker2 System
146
The Opmaker2 Algorithm
148
Experiments and Results
150
Related Work
153
Conclusions
154
References
155
APPENDIX
155
Application of Hidden Topic Markov Models on Spoken Dialogue Systems
158
Introduction
158
Hidden Topic Markov Models for Dialogues
160
Experiments
163
Discussion
166
Conclusions and Future Works
168
References
169
Gossip Galore: An Embodied Conversational Agent for Collecting and Sharing Pop Trivia from the Web
171
Introduction
171
RASCALLI
172
Web Mining for Knowledge Acquisition
173
Domain Modelling
173
Knowledge Acquisition
173
Conversational Agents
175
Architecture
176
Dialogue Processing
177
Multimodal Communication
179
Related Work
179
Conclusions
181
References
182
Biosignal Based Discrimination between Slight and Strong Driver Hypovigilance by Support-Vector Machines
184
Introduction
184
Methods
186
Experiments
186
Feature Extraction
186
Classification
187
Results
189
Conclusions
192
References
193
Part II: Agents
195
Tiered Logic for Agents in Contexts
196
Introduction
196
Tiered FOL
198
Bridge Axioms and Rules
201
CASL
203
The Tiered CASL System
205
Future Work
207
References
208
HomeManager: Testing Agent-Oriented Software Engineering in Home Intelligence
210
Introduction
210
Scenario
211
Problem Analysis
212
SODA
213
Home Manager
213
Analysis
213
Design
215
Prototype
217
Discussion
219
Conclusions and Future Work
221
References
222
Developing Multi-Agent Systems through Integrating Prometheus, INGENIAS and ICARO-T
224
Introduction
224
Why Start with INGENIAS?
225
Comparison of Prometheus and INGENIAS
226
Phases of the New Methodology
227
Conclusions and Future Work
235
References
236
An Efficient Winner Approximation for a Series of Combinatorial Auctions
238
Introduction
238
Preliminaries
239
Winner Determination Problem
239
Lehmann's Greedy Winner Determination
240
Hill-Climbing Search
241
Parallel Search for Multiple Weighting
241
Other Approximation Approaches
242
Enhanced Approximation
242
Fast Partial Reallocation by Last Result
242
Eliminating Undesirable Reallocations
243
Evaluation
244
Experiment Settings
244
Time Performance
245
Limitations
248
Related Work
248
Conclusions
249
References
249
How to Integrate Personalization and Trust in an Agent Network
252
Introduction
252
Positioning
253
Trust in Agent Networks
253
Agents Personalization
255
Integration Work
256
Personalization Integration in a Trust Network
257
Considered Agents and Network
257
Integration Constraints
258
Towards an Integration Model
259
Tests and Experiments
260
A Simplified Model
261
The Experimental Protocol
261
Experimental Results
262
Conclusions and Perspectives
263
References
264
Modeling Two Stage Preventive Medical Checkup Systems with Social Science Approaches
265
Introduction
265
The System Dynamics Approach
266
The Agent Based Modeling Approach
266
Short Comparison of the Approaches
267
The Basic Preventive Cancer Checkup Process (PCCP)
268
Modeling PCCP with System Dynamics
269
Modeling PCCP with Agent Based Modeling
269
Discussion
272
Conclusions
273
References
274
Translating Discrete Multi-Agents Systemsinto Cellular Automata: Application to Diffusion-Limited Aggregation
275
Introduction
275
MAS versus CA
276
The DLA Example as a Starting Point
277
MAS Specification of the DLA
278
CA Expression of the DLA Model
278
Towards a Generalization
281
Influence-Reaction Model
282
Generation of a Transactional CA
282
Discussion
286
References
287
Using Values to Turn Agents into Characters
288
Introduction
288
A Formal Framework for Drama
289
Applying the Framework to Practical Architectures
293
The Role of Values in Drama
296
Discussion and Conclusions
299
References
300
Author Index
302
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