Recognition: unknown
A Logic of Inability
Pith reviewed 2026-05-07 05:33 UTC · model grok-4.3
The pith
Coalition Logic gains an explicit inability operator by defining it as the negation of ability, creating a conservative extension with its own modal laws.
A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.
Core claim
Defining the inability operator as the negation of the coalition ability operator yields a conservative extension of Coalition Logic. The extension is sound and complete with respect to the standard semantics, and the new operator obeys anti-monotonicity with respect to coalition inclusion, contravariance with respect to goal strength, asymmetric interaction with conjunction and disjunction, failure of superadditivity, non-equivalence to the ability of opposing coalitions, and the equivalence of grand-coalition inability with systemic impossibility.
What carries the argument
The inability operator, defined as the negation of the standard coalition ability operator and interpreted over the same neighbourhood models.
If this is right
- Larger coalitions are less prone to inability: if a small group cannot achieve a goal, larger groups containing it may still be unable, but the reverse need not hold.
- Stronger goals are less prone to inability: inability to achieve a weak goal implies inability to achieve any stronger goal.
- Inability distributes asymmetrically over conjunction and disjunction, unlike standard ability.
- Inability lacks superadditivity: the inability of two disjoint coalitions to achieve separate goals does not imply their union cannot achieve both.
- A coalition's inability to achieve a goal is not equivalent to the opposing coalition's ability to prevent it.
- If the grand coalition is unable to achieve a goal, the goal is systemically impossible in the model.
Where Pith is reading between the lines
- Specifications in multi-agent safety can now directly encode negative capabilities without indirect workarounds that only rule out ability.
- The same definitional move could be applied to other ability logics such as ATL to obtain corresponding inability operators without new model classes.
- Reasoning about constraints and impossibility in distributed systems becomes first-class rather than derived from absence of ability.
- Verification tools could check both positive and negative agency statements in one uniform language.
Load-bearing premise
That inability is adequately captured simply by negating ability without any additional semantic primitives or dedicated axioms.
What would settle it
A concrete neighbourhood model in which a coalition cannot force a certain outcome yet the derived theorems about inability produce a contradiction with the original ability facts or violate one of the listed modal properties.
read the original abstract
Coalition Logic is primarily concerned with what coalitions can achieve, whereas what coalitions cannot achieve -- their \emph{inability} -- has received comparatively little explicit attention. This asymmetry matters in artificial intelligence and safety-critical multi-agent systems, where one often needs to specify not merely what agents are instructed or disposed not to do, but what they are \emph{unable} to bring about. We develop a conservative extension of Coalition Logic with an explicit inability operator, interpreted as the negation of coalition ability. This operator is introduced as a conservative and formally tractable starting point for studying inability as a modal concept in its own right. We prove soundness, completeness, and conservativity over standard Coalition Logic, and analyse the resulting modal behaviour: anti-monotonicity with respect to coalition inclusion, contravariance with respect to goal strength, asymmetric interaction with conjunction and disjunction, failure of superadditivity, non-equivalence with opponent ability, and the connection between grand-coalition inability and systemic impossibility. Making this definable operator explicit reveals a systematic modal structure governing the limits of agency, and supports reasoning about constraints, negative capabilities, and impossibility in multi-agent systems.
Editorial analysis
A structured set of objections, weighed in public.
Referee Report
Summary. The paper develops a conservative extension of Coalition Logic by introducing an explicit inability operator interpreted directly as the negation of the coalition ability operator. It claims to prove soundness, completeness, and conservativity with respect to the standard Coalition Logic semantics, and analyzes the resulting modal properties: anti-monotonicity with respect to coalition inclusion, contravariance with respect to goal strength, asymmetric interaction with conjunction and disjunction, failure of superadditivity, non-equivalence with opponent ability, and the connection between grand-coalition inability and systemic impossibility. The extension is motivated by the need to reason explicitly about constraints and negative capabilities in multi-agent systems and AI safety.
Significance. If the central claims hold, the work provides a simple, formally tractable way to make inability explicit within an established logic without introducing new semantic primitives or axioms. This supports direct reasoning about limitations in multi-agent settings, which is relevant for specification and verification tasks. The modal analysis derives non-trivial properties (such as failure of superadditivity and the distinction from opponent ability) as consequences of the base semantics and negation, offering insight into the structure of negative agency. The conservative nature is a strength, as it ensures compatibility with existing Coalition Logic results and tools.
minor comments (3)
- The abstract lists six modal properties; the main text should include explicit cross-references (e.g., to lemmas or propositions) showing where each is derived from the semantics of negation and the Coalition Logic axioms.
- A short illustrative example in the introduction or semantics section, showing a concrete multi-agent scenario where the inability operator is used to express a constraint that cannot be captured as concisely without it, would improve readability.
- Notation for the inability operator (e.g., whether it is written as a new primitive or explicitly as ¬[C]φ) should be fixed consistently from the first use onward.
Simulated Author's Rebuttal
We thank the referee for their careful reading of the manuscript and for the positive assessment of the contribution. The recommendation to accept is appreciated, as is the recognition that the explicit inability operator provides a simple, conservative way to reason about negative agency without new semantic primitives. No major comments were raised in the report.
Circularity Check
No significant circularity identified
full rationale
The paper explicitly defines the inability operator as the negation of the coalition ability operator and proves that the resulting extension is conservative over standard Coalition Logic. Soundness, completeness, and the listed modal properties (anti-monotonicity, contravariance, failure of superadditivity, etc.) are direct logical consequences of this definition together with the semantics of the base logic; they do not reduce any claimed result to a fitted parameter, self-citation chain, or hidden ansatz. No load-bearing step equates a derived theorem to its own input by construction, and the derivation remains self-contained against the external benchmark of Coalition Logic.
Axiom & Free-Parameter Ledger
axioms (2)
- standard math Standard Coalition Logic axioms and semantics
- domain assumption Inability operator defined as negation of ability operator
Forward citations
Cited by 1 Pith paper
-
Beyond Ability: The Four-Fold Spectrum of Power and the Logic of Full Inability
Coalition Logic is extended by defining Full Inability (FI) as a distinct modality alongside Full Control, Positive Determination, and Adverse Determination, with algebraic structure, Klein four-group symmetry, and a ...
Reference graph
Works this paper leans on
-
[1]
J. L. Austin. Ifs and cans.Proceedings of the British Academy, 42:109–132, 1956
1956
-
[2]
Blackwell, 1975
Anthony Kenny.Will, Freedom and Power. Blackwell, 1975
1975
-
[3]
Abilities
JohnMaier. Abilities. InEdwardN.Zalta, editor,The Stanford Encyclopedia of Philosophy. Spring 2022 edition, 2022. 18
2022
-
[4]
Peter B. M. Vranas. I ought, therefore I can.Philosophical Studies, 136(2):167–216, 2007
2007
-
[5]
Oxford University Press, 2014
Nick Bostrom.Superintelligence: Paths, Dangers, Strategies. Oxford University Press, 2014
2014
-
[6]
Concrete Problems in AI Safety
Dario Amodei, Chris Olah, Jacob Steinhardt, Paul Christiano, John Schulman, and Dan Mané. Concrete problems in AI safety.arXiv preprint arXiv:1606.06565, 2016
work page internal anchor Pith review arXiv 2016
-
[7]
arXiv preprint arXiv:2310.19852 , year=
Jiaming Ji, Tianyi Qiu, Boyuan Chen, et al. AI alignment: A comprehensive survey.arXiv preprint arXiv:2310.19852, 2023
-
[8]
Managing extreme AI risks amid rapid progress.Science, 384(6698):842–845, 2024
Yoshua Bengio, Geoffrey Hinton, Andrew Yao, Dawn Song, Pieter Abbeel, Trevor Darrell, Yuval Noah Harari, Ya-Qin Zhang, Lan Xue, Shai Shalev-Shwartz, Gillian Hadfield, Jeff Clune, Tegan Maharaj, Frank Hutter, Atılım Güneş Baydin, Sheila McIlraith, Qiqi Gao, Ashwin Acharya, and others. Managing extreme AI risks amid rapid progress.Science, 384(6698):842–845, 2024
2024
-
[9]
Manipulationofvotingschemes: Ageneralresult.Econometrica, 41(4):587– 601, 1973
AllanGibbard. Manipulationofvotingschemes: Ageneralresult.Econometrica, 41(4):587– 601, 1973
1973
-
[10]
Mark Allen Satterthwaite. Strategy-proofness and Arrow’s conditions: Existence and cor- respondence theorems for voting procedures and social welfare functions.Journal of Eco- nomic Theory, 10(2):187–217, 1975
1975
-
[11]
A modal logic for coalitional power in games.Journal of Logic and Compu- tation, 12(1):149–166, 2002
Marc Pauly. A modal logic for coalitional power in games.Journal of Logic and Compu- tation, 12(1):149–166, 2002
2002
-
[12]
PhD thesis, University of Amsterdam, 2001
Marc Pauly.Logic for Social Software. PhD thesis, University of Amsterdam, 2001
2001
-
[13]
Henzinger, and Orna Kupferman
Rajeev Alur, Thomas A. Henzinger, and Orna Kupferman. Alternating-time temporal logic.Journal of the ACM, 49(5):672–713, 2002
2002
-
[14]
Wiley, 2nd edition, 2009
Michael Wooldridge.An Introduction to MultiAgent Systems. Wiley, 2nd edition, 2009
2009
-
[15]
Logicsforreasoningaboutstrategic abilities in multi-agent systems
NilsBulling, ValentinGoranko, andWojciechJamroga. Logicsforreasoningaboutstrategic abilities in multi-agent systems. In Hans van Ditmarsch, Joseph Y. Halpern, Wiebe van der Hoek, and Barteld Kooi, editors,Handbook of Epistemic Logic, pages 253–312. College Publications, 2015
2015
-
[16]
Cooperation, knowledge, and time: Alternating-time temporal epistemic logic and its applications.Studia Logica, 75(1):125– 157, 2003
Wiebe van der Hoek and Michael Wooldridge. Cooperation, knowledge, and time: Alternating-time temporal epistemic logic and its applications.Studia Logica, 75(1):125– 157, 2003
2003
-
[17]
Coalition logic with individual, distributed and common knowledge.Journal of Logic and Computation, 29(7):1041–1069, 2019
Thomas Ågotnes and Natasha Alechina. Coalition logic with individual, distributed and common knowledge.Journal of Logic and Computation, 29(7):1041–1069, 2019
2019
-
[18]
Group and individual reasoning about knowledge and ability.Artificial Intelligence, 310:103752, 2022
Thomas Ågotnes and Wojciech Jamroga. Group and individual reasoning about knowledge and ability.Artificial Intelligence, 310:103752, 2022
2022
-
[19]
Reasoning about resource-bounded agents.Journal of Logic and Computation, 24(3):661–697, 2014
Natasha Alechina, Stéphane Demri, and Brian Logan. Reasoning about resource-bounded agents.Journal of Logic and Computation, 24(3):661–697, 2014
2014
-
[20]
On the boundary of decidability: Decid- able model-checking for a fragment of resource agent logic
Natasha Alechina, Nils Bulling, and Brian Logan. On the boundary of decidability: Decid- able model-checking for a fragment of resource agent logic. InProceedings of IJCAI 2017, pages 1494–1500, 2017
2017
-
[21]
Coalition logic with con- straints on actions
Valentin Goranko, Munyque Mittelmann, and Giuseppe Perelli. Coalition logic with con- straints on actions. InProceedings of AAMAS 2024, pages 701–709, 2024. 19
2024
-
[22]
A logic of individual and collective agency with contingent action types.Artificial Intelligence, 311:103770, 2022
Emiliano Lorini and Andreas Herzig. A logic of individual and collective agency with contingent action types.Artificial Intelligence, 311:103770, 2022
2022
-
[23]
Fabio Mogavero, Aniello Murano, Giuseppe Perelli, and Moshe Y. Vardi. Reasoning about strategies: On the model-checking problem.ACM Transactions on Computational Logic, 15(4):34:1–34:47, 2014
2014
-
[24]
Verification of strategy logic specifications
Edoardo Caravagna, Alessio Lomuscio, Aniello Murano, and Giuseppe Perelli. Verification of strategy logic specifications. InProceedings of IJCAI 2023, pages 6575–6583, 2023
2023
-
[25]
Cornell University Press, 1962
Jaakko Hintikka.Knowledge and Belief: An Introduction to the Logic of the Two Notions. Cornell University Press, 1962
1962
-
[26]
Halpern and Yoram Moses
Joseph Y. Halpern and Yoram Moses. A guide to the modal logics of knowledge and belief. InProceedings of IJCAI 1985, pages 480–490, 1985
1985
-
[27]
Ronald Fagin and Joseph Y. Halpern. Belief, awareness, and limited reasoning.Artificial Intelligence, 34(1):39–76, 1988
1988
-
[28]
A logic for ignorance.Electronic Notes in Theoretical Computer Science, 85(2):117–133, 2004
Wiebe van der Hoek and Alessio Lomuscio. A logic for ignorance.Electronic Notes in Theoretical Computer Science, 85(2):117–133, 2004
2004
-
[29]
A logical modeling of severe igno- rance.Journal of Philosophical Logic, 52(4):1053–1080, 2023
Stefano Bonzio, Vincenzo Fano, and Pierluigi Graziani. A logical modeling of severe igno- rance.Journal of Philosophical Logic, 52(4):1053–1080, 2023
2023
-
[30]
The logic of ignorance: A proof-theoretic perspective
Hana Frluckaj and Eric Pacuit. The logic of ignorance: A proof-theoretic perspective. Studia Logica, 112(2):341–372, 2024
2024
-
[31]
Standardstate-spacemodelspreclude unawareness.Econometrica, 66(1):159–173, 1998
EddieDekel, BartonL.Lipman, andAldoRustichini. Standardstate-spacemodelspreclude unawareness.Econometrica, 66(1):159–173, 1998
1998
-
[32]
Schipper
Burkhard C. Schipper. Awareness. In Hans van Ditmarsch, Joseph Y. Halpern, Wiebe van der Hoek, and Barteld Kooi, editors,Handbook of Epistemic Logic, pages 147–203. College Publications, 2015
2015
-
[33]
Awareness logic: A Kripke-based ren- dition.Journal of Philosophical Logic, 53:1–35, 2024
Franz Dietrich, Christian List, and Marcus Pivato. Awareness logic: A Kripke-based ren- dition.Journal of Philosophical Logic, 53:1–35, 2024
2024
-
[34]
Halpern and Leandro C
Joseph Y. Halpern and Leandro C. Rêgo. Reasoning about knowledge of unawareness. Games and Economic Behavior, 88:100–120, 2014
2014
-
[35]
Model checking strate- gic ability under imperfect information is undecidable.Journal of Artificial Intelligence Research, 76:1–35, 2023
Wojciech Jamroga, Damian Leśkiewicz, and Artur Niewiadomski. Model checking strate- gic ability under imperfect information is undecidable.Journal of Artificial Intelligence Research, 76:1–35, 2023
2023
-
[36]
Game-theoretic semantics for ATL+ with applications to model checking
Valentin Goranko, Antti Kuusisto, and Raine Rönnholm. Game-theoretic semantics for ATL+ with applications to model checking. InProceedings of AAMAS 2022, pages 559– 567, 2022
2022
-
[37]
Comparing semantics of logics for multi-agent systems.Synthese, 139(2):241–280, 2004
Valentin Goranko and Wojciech Jamroga. Comparing semantics of logics for multi-agent systems.Synthese, 139(2):241–280, 2004
2004
-
[38]
Chellas.Modal Logic: An Introduction
Brian F. Chellas.Modal Logic: An Introduction. Cambridge University Press, 1980
1980
-
[39]
CambridgeUniversity Press, 2001
PatrickBlackburn, MaartendeRijke, andYdeVenema.Modal Logic. CambridgeUniversity Press, 2001. 20
2001
-
[40]
Enderton.A Mathematical Introduction to Logic
Herbert B. Enderton.A Mathematical Introduction to Logic. Academic Press, 2nd edition, 2001
2001
-
[41]
Osborne and Ariel Rubinstein.A Course in Game Theory
Martin J. Osborne and Ariel Rubinstein.A Course in Game Theory. MIT Press, 1994
1994
-
[42]
Oxford University Press, 2001
Nuel Belnap, Michael Perloff, and Ming Xu.Facing the Future: Agents and Choices in Our Indeterminist World. Oxford University Press, 2001
2001
-
[43]
Horty.Agency and Deontic Logic
John F. Horty.Agency and Deontic Logic. Oxford University Press, 2001
2001
-
[44]
Using STIT theory to talk about strategies
Jan Broersen and Andreas Herzig. Using STIT theory to talk about strategies. In Johan van Benthem, Sujata Ghosh, and Rineke Verbrugge, editors,Models of Strategic Reasoning, pages 137–173. Springer, 2015
2015
-
[45]
Halpern, Yoram Moses, and Moshe Y
Ronald Fagin, Joseph Y. Halpern, Yoram Moses, and Moshe Y. Vardi.Reasoning About Knowledge. MIT Press, 1995
1995
-
[46]
Arrow.Social Choice and Individual Values
Kenneth J. Arrow.Social Choice and Individual Values. Wiley, 1951
1951
-
[47]
Holden-Day, 1970
Amartya Sen.Collective Choice and Social Welfare. Holden-Day, 1970
1970
-
[48]
Procaccia, editors
Felix Brandt, Vincent Conitzer, Ulle Endriss, Jérôme Lang, and Ariel D. Procaccia, editors. Handbook of Computational Social Choice. Cambridge University Press, 2016
2016
-
[49]
Cambridge University Press, 2007
Hans van Ditmarsch, Wiebe van der Hoek, and Barteld Kooi.Dynamic Epistemic Logic. Cambridge University Press, 2007. 21
2007
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