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Intelligent systems 9th Brazilian Conference, BRACIS 2020, Rio Grande, Brazil, October 20-23, 2020, Proceedings. Part II /

The two-volume set LNAI 12319 and 12320 constitutes the proceedings of the 9th Brazilian Conference on Intelligent Systems, BRACIS 2020, held in Rio Grande, Brazil, in October 2020. The total of 90 papers presented in these two volumes was carefully reviewed and selected from 228 submissions. The co...

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Corporate Authors: Brazilian Conference on Intelligent Systems Rio Grande, Rio Grande do Sul, Brazil)
Other Authors: Brazilian Conference on Intelligent Systems, Cerri, Ricardo., Prati, Ronaldo C., SpringerLink (Online service)
Format: eBook
Language: English
Published: Cham : Springer, 2020.
Cham : 2020.
Physical Description: 1 online resource (697 pages).
Series: Lecture notes in computer science ; 12320.
LNCS sublibrary. Artificial intelligence.
Subjects:
Artificial intelligence -- Congresses.
Electronic books.
Table of Contents:
  • Intro
  • Preface
  • Organization
  • Contents
  • Part II
  • Contents
  • Part I
  • Agent and Multi-agent Systems, Planning and Reinforcement Learning
  • A Multi-level Approach to the Formal Semantics of Agent Societies
  • 1 Introduction
  • 2 Multiple Levels in Agent Societies
  • 3 Multi-level Semantics
  • 4 Processes
  • 4.1 Vertical Integrity Constraints and Count-As Relations
  • 5 Multi-level Semantics with VIC
  • 6 Organisational Processes
  • 6.1 Organisations
  • 6.2 Semantics
  • 7 Related Work
  • 8 Conclusion
  • References.
  • A Reinforcement Learning Based Adaptive Mutation for Cartesian Genetic Programming Applied to the Design of Combinational Logic Circuits
  • 1 Introduction
  • 2 Methods
  • 2.1 Cartesian Genetic Programming
  • 2.2 K-Armed Bandits
  • 3 Proposed Method
  • 4 Computational Experiments
  • 4.1 Analysis of the Results
  • 5 Conclusion
  • References
  • AgentDevLaw: A Middleware Architecture for Integrating Legal Ontologies and Multi-agent Systems
  • 1 Introduction
  • 2 Related Work
  • 3 The Approach AgentDevLaw
  • 4 Applications and Simulations
  • 4.1 JaCaMo
  • 4.2 JADE
  • 4.3 Discussions.
  • 5 Conclusion and Further Work
  • References
  • An Argumentation-Based Approach for Explaining Goals Selection in Intelligent Agents
  • 1 Introduction
  • 2 Argumentation Process for Goals Selection
  • 3 Argumentation Process for Explanations Generation
  • 3.1 Explanatory Arguments and Argumentation Framework
  • 3.2 Explanation Generation Process
  • 3.3 From Explanatory Arguments to Explanatory Sentences
  • 4 Application: Cleaner World Scenario
  • 5 Related Work
  • 6 Conclusions and Future Work
  • References.
  • Application-Level Load Balancing for Reactive Wireless Sensor Networks: An Approach Based on Constraint Optimization Problems
  • 1 Introduction
  • 2 Related Works
  • 3 Proposed Approach
  • 4 Experiments and Results
  • 5 Conclusions
  • References
  • Cooperative Observation of Smart Target Agents
  • 1 Introduction
  • 2 Related Works
  • 3 Approaches to Improve the Performance of Target Teams
  • 3.1 The Old Approaches
  • 3.2 The New Approach
  • 4 Experiments and Results
  • 4.1 Old Approach to Improving the Target Agents Team Performance.
  • 4.2 New Approach to Improving the Target Agents Team Performance
  • 5 Conclusions
  • References
  • Finding Feasible Policies for Extreme Risk-Averse Agents in Probabilistic Planning
  • 1 Introduction
  • 2 Risk-Prone and Risk-Averse Policy Illustrative Examples
  • 3 Risk Sensitive Stochastic Shortest Path (RS-SSP)
  • 3.1 Policy Iteration for RS-SSP
  • 3.2 LRTDP for RS-SSP
  • 4 Finding the Extreme Feasible
  • 4.1 Sequential Search with Policy Evaluation and Improvement
  • 4.2 Sequential Search with Optimal Policy
  • 4.3 Checking -feasibility by Linear Programming
  • 5 Empirical Analysis.

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