Intelligence in Animals and Machines (C1118)
Intelligence in Animals and Machines
Module C1118
Module details for 2022/23.
15 credits
FHEQ Level 6
Module Outline
The module will develop understanding of what it means for an animal or a machine to behave intelligently, and how brain and behavioural systems are adapted to enable an animal to cope effectively within its environment. We consider diverse aspects of intelligence including navigation and motor control, tool-use, language, memory and social skills. We ask how these are related to one another and how they are matched to the particular needs of animals and machines.
Module learning outcomes
Demonstrate an understanding of the meanings of the term intelligence, and an ability to critically evaluate experimental data and theoretical concepts in the field.
Synthesise research in animal cognition and the engineering of artificial intelligence and argue how these disciplines might inform one another
Present written accounts of specific aspects of the module subject matter based on independent reading of the primary scientific and engineering literature.
Independently evaluate descriptions of animal behaviour in terms of necessary intelligence and plausible evolutionary antecedents.
Type | Timing | Weighting |
---|---|---|
Computer Based Exam | Semester 1 Assessment | 70.00% |
Coursework | 30.00% | |
Coursework components. Weighted as shown below. | ||
Essay | T1 Week 9 | 100.00% |
Timing
Submission deadlines may vary for different types of assignment/groups of students.
Weighting
Coursework components (if listed) total 100% of the overall coursework weighting value.
Term | Method | Duration | Week pattern |
---|---|---|---|
Autumn Semester | Lecture | 2 hours | 11111111111 |
Autumn Semester | Seminar | 2 hours | 10000001000 |
How to read the week pattern
The numbers indicate the weeks of the term and how many events take place each week.
Prof Paul Graham
Assess convenor, Convenor
/profiles/91528
Prof Andy Philippides
Assess convenor
/profiles/23611
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