Computational Neural Mechanisms of Goal-Directed Planning and Problem Solving
نویسندگان
چکیده
منابع مشابه
Symposium on Problem Solving and Goal-Directed Sequential Activity
Background and Motivation Problem solving is one of the hallmarks of human cognition. The term covers a wide range of behaviors, including abilities for solving unfamiliar puzzles, designing new artifacts, generating extended plans, and pursuing complex routine activities. These each require people to carry out sequences of mental or physical steps to achieve their objectives. They can involve ...
متن کاملGoal-Directed Equation Solving
Solving equations in equational Horn-clause theories is a programming paradigm that combines logic programming and functional programming in a clean manner. Languages like E&LOG, SLOG and RITE, express programs as rewrite rules and use narrowing to solve goals expressed as equations. In this paper, we express equational goal solving by means of a logic program that simulates rewriting of terms....
متن کاملDissociable neural mechanisms for goal-directed versus incidental memory reactivation.
Remembering a past event involves reactivation of distributed patterns of neural activity that represent the features of that event-a process that depends on associative mechanisms supported by medial temporal lobe structures. Although efficient use of memory requires prioritizing those features of a memory that are relevant to current behavioral goals (target features) over features that may b...
متن کاملMechanisms of Planning and Problem Solving in the Brain
Classical AND/OR goal, or task, decomposition techniques are generalized to deal with the problem of sensory-interactive goal-directed behavior in biological organisms. A neurophysiological model is described which demonstrates the capacity to l e a r n , to generalize, to compute multivariate mathematical functions, and to decompose input commands into sequences of output commands in a context...
متن کاملLearning Continous Space Navigation Heuristics in Real Time Topic Areas: Autonomous Robots Problem Solving and Planning Goal Directed Behavior
Navigating a robot from an initial position to a goal position in an environment with unknown obstacles is a fundamental problem. One approach to solving this problem involves learning a table of suggested actions for each state of the robot; this table then helps the robot navigate. This approach is limited to discrete rather than continuous spaces and table size can grow large for complex env...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Computational Brain & Behavior
سال: 2020
ISSN: 2522-0861,2522-087X
DOI: 10.1007/s42113-020-00095-7