@@ -21,22 +21,20 @@ and planning tasks.
21
21
cognitive science. Our projects are focused on models that learn, ranging from
22
22
how to provide models access to interfaces to analyzing the effects of caffeine
23
23
on cognition to determining how children develop through the modeling of their
24
- development. Other projects include the development of the Psychological Soar
24
+ development. Other projects include the development of the Psychological Soar
25
25
Tutorial and the Soar FAQ. For more information contact frank.ritter at psu.edu.
26
26
27
-
28
- [ University of Portland] ( https://www.up.edu/directory/Andrew-Nuxoll.html ) : Research is in
29
- improving the effectiveness of the episodic memory system. Much of the work is
30
- done external to Soar while honoring architectural requirements of Soar. Recent
31
- projects include: a survey of forgetting mechanisms, using memories to build
32
- plans, using sequences of episodes to overcome state aliasing and using
33
- experience to discover the relative importance of various WMEs that comprise an
34
- agent's episodes. Many of the insights from this research have been embodied in
35
- an advanced episodic memory system called Ziggurat. Throughout this process, the
36
- hardest part of creating an effective episodic memory system remains the same:
37
- creating an effective, domain-independent algorithm to select the best memory
38
- from a given cue.
39
-
27
+ [ University of Portland] ( https://www.up.edu/directory/Andrew-Nuxoll.html ) :
28
+ Research is in improving the effectiveness of the episodic memory system. Much
29
+ of the work is done external to Soar while honoring architectural requirements
30
+ of Soar. Recent projects include: a survey of forgetting mechanisms, using
31
+ memories to build plans, using sequences of episodes to overcome state aliasing
32
+ and using experience to discover the relative importance of various WMEs that
33
+ comprise an agent's episodes. Many of the insights from this research have been
34
+ embodied in an advanced episodic memory system called Ziggurat. Throughout this
35
+ process, the hardest part of creating an effective episodic memory system
36
+ remains the same: creating an effective, domain-independent algorithm to select
37
+ the best memory from a given cue.
40
38
41
39
[ Pace University] ( http://csis.pace.edu/robotlab/projects.html ) : An Intelligent
42
40
Soar Assistant for a Virtual World Abe Guerra has built an assistant for IBM's
@@ -48,21 +46,41 @@ There is also a movie of his agent navigating and a movie of his agent assisting
48
46
a customer. A Soar Agent for Playing Poker Bob Follek has implemented an
49
47
architecture for an autonomous poker player. His SoarBot uses Soar to play poker
50
48
with the poker server set up by the University of Alberta Computer Poker
51
- Research Group. Bob can be reached at bob@codeblitz.com Researchers use Soar to
52
- build an intelligent assistant for IBM's virtual world. Agent reasons about what
53
- a user needs and guides the user through the virtual world. The assistant
54
- interacts with the user through typed natural language commands, and can also
55
- assist with commands for using the virtual world interface. The research group
56
- also uses Soar to implement an architecture for an autonomous poker player. The
57
- agent uses Soar to play poker with the poker server set up by the University of
58
- Alberta Computer Poker Research Group.
49
+ Research Group. Bob can be reached at
50
+ [ bob@codeblitz.com ] ( mailto:bob@codeblitz.com ) Researchers use Soar to build an
51
+ intelligent assistant for IBM's virtual world. Agent reasons about what a user
52
+ needs and guides the user through the virtual world. The assistant interacts
53
+ with the user through typed natural language commands, and can also assist with
54
+ commands for using the virtual world interface. The research group also uses
55
+ Soar to implement an architecture for an autonomous poker player. The agent uses
56
+ Soar to play poker with the poker server set up by the University of Alberta
57
+ Computer Poker Research Group.
59
58
60
59
University of Southern California
61
60
and the Institute for Creative Technologies
62
61
63
62
[ Bar Ilan University] ( http://www.cs.biu.ac.il/~galk/ ) , Israel is home to the
64
- [ MAVERICK group] ( https://u.cs.biu.ac.il/~kaminkg/maverick/ ) , which conducts research in
65
- social intelligence, multi-agent and multi-robot systems, and plan recognition.
66
- Work in Soar has focused on developing Soar-based teamwork capabilities for
67
- modeling para-military units, multi-agent plan recognition and mirroring, and
68
- social comparison for groups.
63
+ [ MAVERICK group] ( https://u.cs.biu.ac.il/~kaminkg/maverick/ ) , which conducts
64
+ research in social intelligence, multi-agent and multi-robot systems, and plan
65
+ recognition. Work in Soar has focused on developing Soar-based teamwork
66
+ capabilities for modeling para-military units, multi-agent plan recognition and
67
+ mirroring, and social comparison for groups.
68
+
69
+ [ Prof. Dr. Claudia Meitinger] [ cm ] 's team at the
70
+ [ Augsburg Technical University of Applied Sciences] ( https://tha.de ) is
71
+ utilizing Soar to enhance various aspects of human-machine interaction and
72
+ problem-solving.
73
+ In the [ B2X Beyond SalesBot project] ( https://www.tha.de/TTZ-Noerdlingen/Page44530.html ) ,
74
+ the aim is to develop, validate, and generalize an AI-based tool for technical
75
+ sales, using deburring tools as a case study. A Soar agent is used for the tool
76
+ configuration process, determining the tool parameters based on the
77
+ customer requirements, which are enquired step-by-step.
78
+ Additionally, the research group on [ Human-Machine Interaction with Intelligent Systems] [ hmiwis ]
79
+ focuses on developing a demonstrator for a use case where a
80
+ collaborative grinding robot is delegated by shop floor workers. Soar is
81
+ employed to facilitate human-machine interaction by providing an abstract
82
+ communication level, contributing to knowledge base expansion and task
83
+ inference based on delegated tasks.
84
+
85
+ [ cm ] : https://www.tha.de/Elektrotechnik/Claudia-Meitinger.html
86
+ [ hmiwis ] : https://www.tha.de/Forschungsschwerpunkte/KI-Produktionsnetzwerk/Mensch-Maschinen-Interaktion-mit-intelligenten-Systemen.html
0 commit comments