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| CSCI 380: Machines, Brains, and Minds |
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Prerequisites:
Junior standing or faculty permission.
Catalog Description:
An examination of the emergence of artificial mind in machines, with special attention to related issues in the philosophy of mind and cognitive science. This is an approved General Education course (Theme J). Formerly CSCI 122. This course is the same as PHIL 364.
Course Objectives:
The course focuses on the emergence of artificial intelligence within science and technology. We intend to get students to begin thinking about such questions as: can machines think? Are our brains thinking machines? What is intelligence? What is consciousness? What is necessary to replicate or duplicate consciousness, thought, or intelligence in a machine? What are the technological difficulties? The philosophical debates? The sociological ramifications? We seek to promote intrigue and open-mindedness.
Specifically:
- Artificial Intelligence-Understanding of what AI is; History of AI; Current status of AI (successes/failures); Knowledge representation; Symbolic systems; Subsymbolic systems or connectionism (artificial neural networks); AI debates; Learning architectures & algorithms; Artificial life & evolutionary algorithms; Embodied intelligence and robotics; AI goals, visions, and obstacles. Speculate on limits and social implications of AI applications, and the responsibilities of those who develop them. (B)
- Philosophy Understanding of Consciousness; Mind-body problem & theories (dualism, mentalism, materialism,); Determinism; Free will; Classic philosophical arguments (on consciousness, thought, emotion, expression, perception, ); Semantics and representation; knowledge; intelligence, etc. (B)
B=Basic I=Intermediate A=Advanced
Course Outcomes:
Students will be able to:
- Understand the basic ideas behind AI, history, current status, future.
- Debate intelligently and diplomatically on the issues surrounding cognition and AI.
- Reason about theories of Consciousness, symbol manipulation and semantics, mind-body problem, determinism, and free-will.
- Continue to formulate personal questions and theories about cognition, consciousness, mind, intelligence, limits, and implications of AI-.
Class/Laboratory Schedule:
Three hours per week in discussion. |
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| Topic |
Percentage |
Hours |
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| Algorithms |
10% |
5 |
| Data Structures |
5% |
3 |
| Software Design |
5% |
3 |
| Concepts of Programming |
5% |
3 |
| Computer Organization and Architecture |
5% |
3 |
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Relationship of Course to Program Objectives:
This course supports the achievement of the following program objectives:
- All students will be effective oral and written communicators and be able to function effectively as members of multi-disciplinary teams. (P)
- All students will have an appreciation for the individual, society, and human heritage and they will be aware of the impact of their work on society and the environment. (I)
- Those graduates who pursue advanced degrees will have the skills to succeed in graduate programs in computing and related fields. (I)
I=Introduced P=Practiced R=Reinforced |
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Management
California State University, Chico |
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Science, & Construction Management
California State University, Chico
Chico, CA 95929-0003
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