In this paper we describe Task-Based Problem Solving Adapters (TPSAs) for modeling a human solution (through activity-centered analysis) to a software solution (in form of computer-based artifact). TPSAs are derived from the problem solving pattern or consistent problem solving structures/strategies employed by practitioners while designing solutions to complex problems. The adapters developed by us lead toward human-centeredness in their design and underpinning that help us to address the pragmatic task constraints through a range of technologies like neural networks, fuzzy logic, and genetic algorithms. We also outline an example of applying the TPSAs to develop a working system for assisting sales engineers of an electrical manufacturing...
Systematic problem-solving is an important component of sustainable and continuous improvement in pr...
This study centers on harmonizing cognitive tasks to the knowledge and capacities of the human task ...
We present research on task markets where automated planning procedures are used to enlist computati...
In this paper we describe Task-Based Problem Solving Adapters (TPSAs) for modeling a human solution ...
Problem solving method describes the reasoning process and knowledge requirement for accomplishing a...
Domain independent general purpose problem solving techniques are desirable from the standpoints of ...
The recent advent of artificial intelligence (AI) solutions that surpass humans’ problem-solving cap...
The importance of human-computer system interaction problems is increasing due to the growing expect...
[[abstract]]To attain optimum performance of the automated system, task allocation between human and...
TaskTracer is a research project at Oregon State University to identify innovative technological sol...
We discuss challenges and opportunities for developing generalized task markets where human and mach...
An intelligent system should be able to solve a wide range of problems from different domains. In th...
This work investigates the possibility of applying machine learning and data mining to the problem o...
Problem Solving Environments (PSEs) provide a collection of tools for composition of scientific appl...
AbstractDomain independent general purpose problem solving techniques are desirable from the standpo...
Systematic problem-solving is an important component of sustainable and continuous improvement in pr...
This study centers on harmonizing cognitive tasks to the knowledge and capacities of the human task ...
We present research on task markets where automated planning procedures are used to enlist computati...
In this paper we describe Task-Based Problem Solving Adapters (TPSAs) for modeling a human solution ...
Problem solving method describes the reasoning process and knowledge requirement for accomplishing a...
Domain independent general purpose problem solving techniques are desirable from the standpoints of ...
The recent advent of artificial intelligence (AI) solutions that surpass humans’ problem-solving cap...
The importance of human-computer system interaction problems is increasing due to the growing expect...
[[abstract]]To attain optimum performance of the automated system, task allocation between human and...
TaskTracer is a research project at Oregon State University to identify innovative technological sol...
We discuss challenges and opportunities for developing generalized task markets where human and mach...
An intelligent system should be able to solve a wide range of problems from different domains. In th...
This work investigates the possibility of applying machine learning and data mining to the problem o...
Problem Solving Environments (PSEs) provide a collection of tools for composition of scientific appl...
AbstractDomain independent general purpose problem solving techniques are desirable from the standpo...
Systematic problem-solving is an important component of sustainable and continuous improvement in pr...
This study centers on harmonizing cognitive tasks to the knowledge and capacities of the human task ...
We present research on task markets where automated planning procedures are used to enlist computati...