Exibir código-fonte para IN1116-2020-1

Esta é a wiki que será usada como repositório coletivo de referências sobre Agentes Inteligentes para turma de 2020.1

=Avaliação do dia 22 julho de 2020=
* [https://forms.gle/iF1vARgtrh7xvVNk7 Grupo 1]
* [https://forms.gle/spLptpizdRFiP5XF8 Grupo 2]
* [https://forms.gle/JRfq3JwD4bpM2Wu29 Grupo 3]
* [https://forms.gle/myoBYRnhnBxsaB9m6 Grupo 4]
* [https://forms.gle/Gvwq4FvK5RdrHDJM9 Grupo 5]
* [https://forms.gle/o8FmTAc1hA3RbgTVA Grupo 6]
* [https://forms.gle/px9z6nrgZYTqdyBb8 Grupo 7]

=Ferramentas e Plataformas=

==Google Classroom==
Código do Classroom: '''hf5m6wx'''

[https://classroom.google.com/u/1/c/NjI2NDE0NTc2OTRa Link da Sala]

==Slack==
[https://join.slack.com/t/in1116-iai-2020-1/shared_invite/zt-eisr2cit-DDWel8CmVExawMtLsRhfmw Convite para o Slack da disciplina]

==Google Meet==

[https://meet.google.com/lookup/h5wqhf4fl7?authuser=1&hs=179 Sala do Google Meet]

==GitHub Classroom==

==Jupyter==

==Wiki==
A wiki do CIn é baseada na MediaWiki, plataforma usada na Wikipedia.
Vamos usar lá ou aqui?
[https://wiki.cin.ufpe.br/IN1116-2020-1 WikiCIn | IN1116-2020-1]

[https://github.com/cin-ufpe-in1116-2020-1/repositorio-coletivo-referencias/wiki GitHub Wiki]

==PubPub==
[https://cin-ufpe-agentes-inteligentes.pubpub.org/ PubPub da Disciplina]

=Conteúdo: Introdução aos Agentes Inteligentes=

Nesta Seção, ficam as referências para o conteúdo

==Introdução: Inteligência Artificial==

* [https://youtu.be/ccZ2pyr3YDw (Youtube) Filipe Deschamps - Qual a diferença entre Inteligência Artificial, Machine Learning, Data Science, Deep Learning, etc?]

* [https://www.youtube.com/watch?v=Bcw5YZA-Avw (Youtube) UNIVESP Profa. Renata Wassermann - Inteligência Artificial - Introdução à Inteligência Artificial - Visão Geral da área]

* [https://www.youtube.com/watch?v=7QCepggAQNs (Youtube) Dialogos na USP - Inteligencia Artificial (Bloco 1)]

* [https://www.youtube.com/watch?v=v9w5dl_b_Wo (Youtube) Dialogos na USP - Inteligencia Artificial (Bloco 2)]

* [https://www.youtube.com/watch?v=W95YlM5-iPk (Youtube) Discovery Brasil - Inteligência Artificial - IBM]

* [https://www.youtube.com/watch?v=CRy2g_-SqKY (Youtube) Nerdologia - Ultron e a revolução da inteligência artificial]

* [https://www.youtube.com/watch?v=OEo14_iw7ho (Youtube) Nerdologia - Robôs vão tomar o seu emprego? Automatização do trabalho]

==Arquitetura de Agentes Inteligentes==

* [https://hackernoon.com/rational-agents-for-artificial-intelligence-caf94af2cec5 (Medium) Rational Agents for Artificial Intelligence]

* [https://www.youtube.com/watch?v=yE62Zwhmzi8 (Youtube) DeepMind - The Role of Multi-Agent Learning in Artificial Intelligence Research]

==Resolução de Problemas por meio de Busca==

* [https://www.youtube.com/watch?v=7FSUtSurqA4 (Youtube) Floor Coverage Lab Test | Roomba® | iRobot®]

* <pre style="color: red">AIMA Javascript</pre>

===Busca Não-informada===

====Busca em Largura====

* [https://www.youtube.com/watch?v=piBq7VD0ZSo (Youtube) Coding Train - Coding Challenge #68.1: Breadth-First Search Part 1]

* [https://www.youtube.com/watch?v=-he67EEM6z0 (Youtube) Coding Train - Coding Challenge #68.2: Breadth-First Search Part 2]

* [https://thecodingtrain.com/CodingChallenges/068.1-bfs-kevin-bacon.html (Site) Breadth-First Search Part 1 - Coding Challenge #68.1 · The Coding Train]

* [https://thecodingtrain.com/CodingChallenges/068.2-bfs-kevin-bacon.html (Site) Breadth-First Search Part 2 - Coding Challenge #68.2 · The Coding Train]

* [https://www.youtube.com/watch?v=s-CYnVz-uh4 (Youtube) MIT OpenCourseWare - 13. Breadth-First Search (BFS)]

====Busca em Profundidade====

* [https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-006-introduction-to-algorithms-fall-2011/lecture-videos/lecture-14-depth-first-search-dfs-topological-sort/ (Site) MIT OpenCourseWare Lecture 14: Depth-First Search (DFS), Topological Sort]

====Busca de Custo Uniforme====

===Busca Informada ou Heurística===

* <pre style="color: red">Wikipedia dos Patinhos de Borracha</pre>

====Busca Gulosa do Melhor Primeiro====

====Busca A*====

* [https://thecodingtrain.com/CodingChallenges/051.1-astar.html (Site) Coding Train - A* Pathfinding Algorithm - Part 1]

* [https://thecodingtrain.com/CodingChallenges/051.2-astar.html (Site) Coding Train - A* Pathfinding Algorithm - Part 2]

* [https://thecodingtrain.com/CodingChallenges/051.3-astar.html (Site) Coding Train - A* Pathfinding Algorithm - Part 3]

==Raciocínio e Representação do Conhecimento==

=Referências para atividades=

==Escrevendo na Wiki==

* [https://help.github.com/en/github/building-a-strong-community/documenting-your-project-with-wikis (Site) GitHub: Documenting your project with wikis]

* [https://www.mediawiki.org/wiki/Help:Formatting/pt-br (Site) Referência para editar a Wiki]

==Aprendendo Python==

* [https://www.youtube.com/playlist?list=PLHz_AreHm4dlKP6QQCekuIPky1CiwmdI6 (Youtube_Playlist) Curso de Python 3 - Mundo 1: Fundamentos]

==Usando a Wikipedia API==

* [https://stackabuse.com/getting-started-with-pythons-wikipedia-api/ (Site) Getting Started with Python's Wikipedia API]

* [https://thecodingtrain.com/CodingChallenges/075-wikipedia-api.html (Site) Coding Train - Coding Challenge #75] - exemplo em JavaScript

* [https://towardsdatascience.com/wikipedia-api-for-python-241cfae09f1c (Medium) Wikipedia API for Python]

==Fazendo o Projeto==

* [http://ai.berkeley.edu/project_overview.html (Site) Projeto do PacMan (em Python 2.70)]

* [https://github.com/jspacco/pac3man (Site) Port do Pacman da Berkeley para Python 3]

=Miscelâneas=

* [https://www.youtube.com/watch?v=lFIIpCbb6Do&list=PLxI8Can9yAHfY4b6dAzpH5_Z-gz4wM-Jq (Youtube_Playlist) UNIVESP Profa. Renata Wassermann - Curso Engenharia da Computação - Inteligência Artificial]

* [http://ai.berkeley.edu/home.html (Site) Materiais da disciplina CS188x da Berkeley University]

* [http://horizontes.sbc.org.br/index.php/2020/05/23/principios-educacao-online/ Princípios da Educação Online]