S | M | T | W | T | F | S |
---|---|---|---|---|---|---|
|
|
|
1 |
2 |
3 |
4 |
5 |
6 |
7 |
8 |
9 |
10 |
11 |
12 |
13 |
14 |
15 |
16 |
17 |
18 |
19 |
20 |
21 |
22 |
23 |
24 |
25 |
26 |
27 |
|
29 |
30 |
31 |
|
CogSci Colloquium: Patrick Shaft (Rutgers-Newark)
Time:
Thursday, September 05, 2024 - 3:30 PM to 5:30 PM
Location:
2124 HJ Patterson Hall
Mathematical foundations for learning agents
Abstract: Learning agents, which include humans and (ideally) AI agents, take actions in the world and learn from the outcomes. I will present our recent efforts toward an integrated theory of learning agents, focusing on cooperative communication as an extended case study. I will close with interesting applications and implications.